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Research Article
Robust Disturbance Rejection based Control with Extended-state Resonant Observer for Sway Reduction in Uncertain Tower-Cranes
Horacio Coral-Enriquez, Santiago Pulido-Guerrero, John Cortés-Romero
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In this paper, the problem of load transportation and robust mitigation of payload oscillations in uncertain tower-cranes is addressed. This problem is tackled through a control scheme based on the philosophy of Active-Disturbance-Rejection. Here, a general disturbance model built with two dominant components: polynomial and harmonic, is stated. Then, a disturbance observer is formulated through state-vector augmentation of the tower-crane model. Thus, better performance of estimations for system states and disturbances is achieved. The control law is then formulated to actively reject the disturbances but also to accommodate the closed-loop system dynamics even under system uncertainty. The proposed control schema is validated via experimentation using a small-scale tower-crane, and compared with other relevant ADRC-based techniques. The experimental results show that the proposed control scheme is robust under parametric uncertainty of the system, and provides improved attenuation of payload oscillations even under system uncertainty.
Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification
A. N. Ouda, Amr Mohamed, Moustafa EI-Gindy, Haoxiang Lang, Jing Ren
Available online   doi: 10.1007/s11633-018-1161-8
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This paper describes the development and modeling of a remotely operated scaled multi-wheeled combat vehicle (ROMWCV) using system identification methodology for heading angle tracking. The vehicle was developed at the vehicle dynamics and crash research (VDCR) Lab at the University of Ontario Institute of Technology (UOIT) to analyze the characteristics of the full-size model. For such vehicles, the development of controllers is considered the most crucial issue. In this paper, the ROMWCV is developed first. An experimental test was carried out to record and analyze the vehicle input/output signals in open loop system, which is considered a multi-input-single-output (MISO) system. Subsequently, a fuzzy logic controller (FLC) was developed for heading angle tracking. The experiments showed that it was feasible to represent the dynamic characteristics of the vehicle using the system identification technique. The estimation and validation results demonstrated that the obtained identified model was able to explain 88.44% of the output variation. In addition, the developed FLC showed a good heading angle tracking.
Multi-source remote sensing image registration based on Contourlet transform and multiple feature fusion
Huan Liu, Genfu Xiao, Yunlan Tan, Chunjuan Ouyang
Available online   doi: 10.1007/s11633-018-1163-6
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Image registration is an indispensable component in multi-source remote sensing image processing. In this paper, we put forward a remote sensing image registration method by including an improved multi-scale and multi-direction Harris algorithm and a novel compound feature. Multi-scale circle Gaussian Combined invariant moments and multi-direction gray level co-occurrence matrix are extracted as features for image matching. The proposed algorithm is evaluated on numerous multi-source remote sensor images with noise and illumination changes. Extensive experimental studies prove that our proposed method is capable of receiving stable and even distribution of key points as well as obtaining robust and accurate correspondence matches. It is a promising scheme in multi-source remote sensing image registration.
Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots
Amit Kumar, Aparajita Ojha
Available online   doi: 10.1007/s11633-018-1151-x
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Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation
Ya-Ru Liang, Zhi-Yong Xiao
Available online   doi: 10.1007/s11633-018-1159-2
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Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks
Menacer Farid, Kadri Abdelmalek, Dibi Zohir
Available online   doi: 10.1007/s11633-018-1155-6
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The aim of this work is to model and analyze the behavior of a new smart nano force sensor. To do so, the carbon nanotube has been used as a suspended gate of a metal-oxide-semiconductor field-effect transistor (MOSFET). The variation of the applied force on the carbon nanotube (CNT) generates a variation of the capacity of the transistor oxide-gate and therefore the variation of the threshold voltage, which allows the MOSFET to become a capacitive nano force sensor. The sensitivity of the nano force sensor can reach 0.124 31 V/nN. This sensitivity is greater than results in the literature. We have found through this study that the response of the sensor depends strongly on the geometric and physical parameters of the CNT. From the results obtained in this study, the increase in the applied force has as a consequence an increase in the value of the threshold voltage VTh of the MOSFET. In this paper, we first used artificial neural networks to faithfully reproduce the response of the nano force sensor model. This neural model is called direct model. Then, secondly, we designed an inverse model called an intelligent sensor which allows linearization of the response of our developed force sensor.
A robust face recognition method combining LBP with multi-mirror symmetry for images with various face interferences
Shui-Guang Tong, Yuan-Yuan Huang, Zhe-Ming Tong
Available online   doi: 10.1007/s11633-018-1153-8
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Synthesize Robot Programs with Interactive Tutor Mode
Hao Li, Yu-Ping Wang, Tai-Jiang Mu
Available online   doi: 10.1007/s11633-018-1154-7
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Predictive adaptive Kalman filter and its application to INS/UWB-integrated human localization with missing UWB-based measurement
Yuan Xu, Tao Shen, Xi-Yuan Chen, Li-Li Bu, Ning Feng
Available online   doi: 10.1007/s11633-018-1157-4
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Accurate classification of EEG signals using neural networks trained by hybrid population-physic-based algorithm
Sajjad Afrakhteh, Mohammad-Reza Mosavi, Mohammad Khishe, Ahmad Ayatollahi
Available online   doi: 10.1007/s11633-018-1158-3
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Development of STEP AP224 extractor for interfacing feature based CAPP to STEP-NC (AP238)
Deepanshu Srivastava, Venkateswara Rao Komma
Available online   doi: 10.1007/s11633-018-1144-9
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An Operator based Nonlinear Vibration Control System Using a Flexible Arm with Shape Memory Alloy
Hiroki Matsumori, Ming-Cong Deng, Yuichi Noge
Available online   doi: 10.1007/s11633-018-1149-4
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Auto-tuning of FOPI Controllers for TITO Processes with Experimental Validation
Gargi Baruah, Somanath Majhi, Chitralekha Mahanta
Available online   doi: 10.1007/s11633-018-1140-0
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Dynamic Performance Evaluation of a Redundantly Actuated and Over-constrained Parallel Manipulator
Hai-Qiang Zhang, Hai-Rong Fang, Bing-Shan Jiang, Shuai-Guo Wang
Available online   doi: 10.1007/s11633-018-1147-6
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Predictive control based on fuzzy supervisor for PWARX hybrid models
Olfa Yahya, Zeineb Lassoued, Kamel Abderrahim
Available online   doi: 10.1007/s11633-018-1148-5
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Time-space Viewpoint Planning for Guard Robot with Chance Constraint
Igi Ardiyanto, Jun Miura
Available online   doi: 10.1007/s11633-018-1146-7
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Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties
Jenny L. Diaz C., Diego A. Muñoz, Hernan Alvarez
Available online   doi: 10.1007/s11633-018-1132-0
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A Practical Approach to Representation of Real-Time Building Control Applications in Simulation
Azzedine Yahiaoui
Available online   doi: 10.1007/s11633-018-1131-1
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Emergency supply chain management based on Rough Set - House of Quality
Yuan He, Xue-Dong Liang, Fu-Min Deng, Zhi Li
Available online   doi: 10.1007/s11633-018-1133-z
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New LMI Conditions for Reduced-Order Observer of Lipschitz Discrete-Time Systems: Numerical and Experimental Results
Noussaiba GasmiI, Assem Thabet, Mohamed Aoun
Available online   doi: 10.1007/s11633-018-1160-9
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The objective of this paper is to propose a reduced-order observer for a class of Lipschitz nonlinear discrete-time systems. The conditions that guarantee the existence of this observer are presented in the form of linear matrix inequalities (LMIs). To handle the Lipschitz nonlinearities, the Lipschitz condition and the Young′s relation are adequately operated to add more degrees of freedom to the proposed LMI. Necessary and sufficient conditions for the existence of the unbiased reduced-order observer are given. An extension to \begin{document}$\mathcal{H}_\infty$\end{document} performance analysis is considered in order to deal with \begin{document}$\mathcal{H}_\infty$\end{document} asymptotic stability of the estimation error in the presence of disturbances that affect the state of the system. To highlight the effectiveness of the proposed design methodology, three numerical examples are considered. Then, high performances are shown through real time implementation using the ARDUINO MEGA 2560 device.
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-Stationary Signal Analysis and Pattern Recognition
N. R. Nayak, P. K. Dash, R. Bisoi
Available online   doi: 10.1007/s11633-018-1113-3
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Low-Latency Data Gathering with Reliability Guaranteeing in Heterogeneous Wireless Sensor Networks
Tian-Yun Shi, Jian Li, Xin-Chun Jia, Wei Bai, Zhong-Ying Wang, Dong Zhou
Available online   doi: 10.1007/s11633-017-1074-y
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Composite Control of Nonlinear Singularly Perturbed Systems via Approximate Feedback Linearization
Aleksey Kabanov, Vasiliy Alchakov
Available online   doi: 10.1007/s11633-017-1076-9
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Optimal Design of Fuzzy-AGC Based on PSO&RCGA to Improve Dynamic Stability of Interconnected Multi Area Power Systems
Ali Darvish Falehi
Available online   doi: 10.1007/s11633-017-1064-0
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A Linear Quadratic Controller Design Incorporating a Parametric Sensitivity Constraint
Mohamed Yagoubi
Available online   doi: 10.1007/s11633-016-1048-5
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Study of performance and reliability of urethral valve driven by ultrasonic-vaporized steam
Zhen Hu, Xiao Li, Ting Guan
Available online   doi: 10.1007/s11633-016-1026-y
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Research Article
A Fault Tolerant Control Scheme Using the Feasible Constrained Control Allocation Strategy
Mehdi Naderi, Tor Arne Johansen, Ali Khaki Sedigh
Available online   doi: 10.1007/s11633-019-1168-9
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This paper investigates the necessity of feasibility considerations in a fault tolerant control system using the constrained control allocation methodology where both static and dynamic actuator constraints are considered. In the proposed feasible control allocation scheme, the constrained model predictive control (MPC) is employed as the main controller. This considers the admissible region of the control allocation problem as its constraints. Using the feasibility notion in the control allocation problem provides the main controller with information regarding the actuator′s status, which leads to closed loop system performance improvement. Several simulation examples under normal and faulty conditions are employed to illustrate the effectiveness of the proposed methodology. The main results clearly indicate that closed loop performance and stability characteristics can be significantly degraded by neglecting the actuator constraints in the main controller. Also, it is shown that the proposed strategy substantially enlarges the domain of attraction of the MPC combined with the control allocation as compared to the conventional MPC.
Management of Control Impacts Based on Maximizing the Spread of Influence
Alexander Tselykh, Vladislav Vasilev, Larisa Tselykh
Available online   doi: 10.1007/s11633-018-1167-2
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The choice of fulcrums for control of socio-economic systems represented by directed weighted signed graphs is a topic of current interest. This article proposes a new method for identifying nodes of impact and influential nodes, which will provide a guaranteed positive system response over the growth model. The task is posed as an optimization problem to maximize the ratio of the norms of the accumulated increments of the growth vector and the exogenous impact vector. The algorithm is reduced to solving a quadratic programming problem with nonlinear restrictions. The selection of the most effective vertices is based on the cumulative gains of the component projections onto the solution vector. Numerical examples are provided to illustrate the effectiveness of the proposed method.
Energy Guarantee Scheme for Real-time Systems with Energy Harvesting Constraints
Hussein El Ghor, Maryline Chetto
Available online   doi: 10.1007/s11633-018-1166-3
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The growth of environmental energy harvesting has been explosive in wireless computing systems especially when replacing or recharging batteries manually is impracticable. This work investigates the scheduling of periodic weekly hard real-time tasks under energy constraints. Based on this motivation, we proposed a real-time scheduling algorithm, namely energy guarantee dynamic voltage and frequency scaling (EG-DVFS), that utilizes the earliest deadline-harvesting (ED-H) scheduling algorithm combined with dynamic voltage and frequency scaling. This one is qualified as real-time since tasks must satisfy their timing constraints. We assume that the preemptable tasks receive dynamic priorities according to the earliest deadline first (EDF) rule. EG-DVFS adjusts the processor′s behavior by characterizing the properties of the energy source module, capacity of the stored energy as well as the harvested energy in a future duration. Specifically, tasks are executed at full processor speed if the amount of energy in the battery is enough to finish its execution. Otherwise, the processor slows down task execution to the lowest possible processor speed while still guaranteeing to meet all the timing constraints. EG-DVFS mainly depends on the on-line computation of the slack time and the slack energy with dynamic voltage and frequency selection in order to achieve an improved system performance. Experimental results show that EG-DVFS can achieve capacity savings up of up to 33% when compared to ED-H.
Design of FOPI Controller for Time Delay Systems and Its Experimental Validation
Gargi Baruah, Somanath Majhi, Chitralekha Mahanta
Available online   doi: 10.1007/s11633-018-1165-4
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In this paper, we report on the identification and modeling of unknown and higher order processes into first order plus dead time (FOPDT) plants based on the limit cycle information obtained from a single relay feedback test with an online fractional order proportional integral (FOPI) controller. The parameters of the test processes are accurately determined by the state space method while the FOPI controller settings are re-tuned to achieve enhanced performance based on the identified model parameters based on the balanced-tuning method. A new performance index, integral time fractional order absolute error (ITFIAE) is introduced in this paper for balanced tuning of fractional order (FO) controllers. It requires minimum design specifications without a-priori knowledge of gain and phase crossover frequencies and is done non-iteratively without disrupting the closed loop. Four test processes and experimental analysis on a coupled tank system (CTS) validate the theory proposed.
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm
Bing-Tao Zhang, Xiao-Peng Wang, Yu Shen, Tao Lei
Available online   doi: 10.1007/s11633-019-1171-1
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Research has demonstrated a significant overlap between sleep issues and other medical conditions. In this paper, we consider mild difficulty in falling asleep (MDFA). Recognition of MDFA has the potential to assist in the provision of appropriate treatment plans for both sleep issues and related medical conditions. An issue in the diagnosis of MDFA lies in subjectivity. To address this issue, a decision support tool based on dual-modal physiological feature fusion which is able to automatically identify MDFA is proposed in this study. Special attention is given to the problem of how to extract candidate features and fuse dual-modal features. Following the identification of the optimal feature set, this study considers the correlations between each feature and class and evaluates correlations between the inter-modality features. Finally, the recognition accuracy was measured using 10-fold cross validation. The experimental results for our method demonstrate improved performance. The highest recognition rate of MDFA using the optimal feature set can reach 96.22%. Based on the results of current study, the authors will, in projected future research, develop a real-time MDFA recognition system.
Convergence Analysis of a New MaxMin-SOMO Algorithm
Atlas Khan, Yan-Peng Qu, Zheng-Xue Li
Available online   doi: 10.1007/s11633-016-0996-0
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Stabilization for a Class of Discrete-time Switched Large-scale Systems with Parameter Uncertainties
Chang-Chun Sun
Available online   doi: 10.1007/s11633-016-0966-6
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A Novel Self-adaptive Circuit Design Technique based on Evolvable Hardware
Jun-Bin Zhang, Jin-Yan Cai, Ya-Feng Meng, Tian-Zhen Meng
Available online   doi: 10.1007/s11633-016-1000-8
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Simultaneous Identification of Process Structure, Parameter and Time-Delay Based on Non-Negative Garrote
Jian-Guo Wang, Qian-Ping Xiao, Tiao Shen, Shi-Wei Ma, Wen-Tao Rao, Yong-Jie Zhang
Available online   doi: 10.1007/s11633-015-0948-0
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Energy Efficient Scheduler of Aperiodic jobs for Real-Time Embedded Systems
Hussein El Ghor, E. M. Aggoune
Available online   doi: 10.1007/s11633-016-0993-3
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Design of Ethernet based data acquisition system for yaw rate and longitudinal velocity measurement in automobiles
K. Arun Venkatesh, N. Mathivanan
Available online   doi: 10.1007/s11633-016-0968-4
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Review
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks
Brian D. O. Anderson, Mengbin Ye
2019,  vol. 16,  no. 2,   pp. 129-149 ,  doi: 10.1007/s11633-019-1169-8
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A fundamental aspect of society is the exchange and discussion of opinions between individuals, occurring in situations as varied as company boardrooms, elementary school classrooms and online social media. After a very brief introduction to the established results of the most fundamental opinion dynamics models, which seek to mathematically capture observed social phenomena, a brief discussion follows on several recent themes pursued by the authors building on the fundamental ideas. In the first theme, we study the way an individual′s self-confidence can develop through contributing to discussions on a sequence of topics, reaching a consensus in each case, where the consensus value to some degree reflects the contribution of that individual to the conclusion. During this process, the individuals in the network and the way they interact can change. The second theme introduces a novel discrete-time model of opinion dynamics to study how discrepancies between an individual′s expressed and private opinions can arise due to stubbornness and a pressure to conform to a social norm. It is also shown that a few extremists can create " pluralistic ignorance”, where people believe there is majority support for a position but in fact the position is privately rejected by the majority. Last, we consider a group of individuals discussing a collection of logically related topics. In particular, we identify that for topics whose logical interdependencies take on a cascade structure, disagreement in opinions can occur if individuals have competing and/or heterogeneous views on how the topics are related, i.e., the logical interdependence structure varies between individuals.
Research Article
Motion-force Transmissibility Characteristic Analysis of a Redundantly Actuated and Overconstrained Parallel Machine
Hai-Qiang Zhang, Hai-Rong Fang, Bing-Shan Jiang
2019,  vol. 16,  no. 2,   pp. 150-162 ,  doi: 10.1007/s11633-018-1156-5
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This paper presents a novel 1T2R three degrees of freedom redundantly actuated and overconstrained 2\begin{document}${\underline{\rm P}}$\end{document}RU-\begin{document}${\underline{\rm P}}$\end{document}R\begin{document}${\underline{\rm P}}$\end{document}S parallel machining head (\begin{document}${\underline{\rm P}}$\end{document} denotes the active prismatic joint), which can construct 5-axis hybrid machine to complete high speed freedom surface milling for large complex structural components in aerospace. Firstly, based on the screw theory, the mobility of the proposed parallel manipulator is briefly analysed. Secondly, the kinematic inverse position and the parasitic motion of the parallel manipulator are explicitly expressed. Furthermore, motion-force transmission performance evaluation indices are derived in detail via an alternative approach based on the screw theory. More importantly, a simple method for quickly solving the maximum virtual power coefficient is proposed, and the motion-force transmission performance evaluation index is greatly improved. To evaluate the kinematic performance, its workspace is calculated. With numerical examples, performance distribution atlases of the manipulator are depicted visually. The corresponding results illustrate that the proposed parallel manipulator has better orientation workspace and superior motion-force transmission performance than the 2PRU-PRS parallel manipulator, which proves the validity and applicability of applying this manipulator as a machining head.
Fuzzy Behavior-based Control of Three Wheeled Omnidirectional Mobile Robot
Nacer Hacene, Boubekeur Mendil
2019,  vol. 16,  no. 2,   pp. 163-185 ,  doi: 10.1007/s11633-018-1135-x
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In this paper, a fuzzy behavior-based approach for a three wheeled omnidirectional mobile robot (TWOMR) navigation has been proposed. The robot has to track either static or dynamic target while avoiding either static or dynamic obstacles along its path. A simple controller design is adopted, and to do so, two fuzzy behaviors " Track the Target” and " Avoid Obstacles and Wall Following” are considered based on reduced rule bases (six and five rules respectively). This strategy employs a system of five ultrasonic sensors which provide the necessary information about obstacles in the environment. Simulation platform was designed to demonstrate the effectiveness of the proposed approach.
Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability
Chang-Jun Li, Zong-Shi Xie, Xin-Ran Peng, Bo Li
2019,  vol. 16,  no. 2,   pp. 186-198 ,  doi: 10.1007/s11633-018-1129-8
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" Factory physics principles” provided a method to evaluate the performance of a simple production line, whose fundamental parameters are known or given. However, it is difficult to obtain the exact and reasonable parameters in actual manufacturing environment, especially for the complex chipset assembly & test production line (CATPL). Besides, research in this field tends to focus on evaluation and improvement of CATPL without considering performance interval and status with variability level. A developed internal benchmark method is proposed, which established three-parameter method based on the Little′s law. It integrates the variability factors, such as processing time, random failure time, and random repair time, to meet performance evaluation and improvement. A case study in a chipset assembly and test factory for the performance of CATPL is implemented. The results demonstrate the potential of the proposed method to meet performance evaluation and emphasise its relevance for practical applications.
An Approach to Reducing Input Parameter Volume for Fault Classifiers
Ann Smith, Fengshou Gu, Andrew D. Ball
2019,  vol. 16,  no. 2,   pp. 199-212 ,  doi: 10.1007/s11633-018-1162-7
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As condition monitoring of systems continues to grow in both complexity and application, an overabundance of data is amassed. Computational capabilities are unable to keep abreast of the subsequent processing requirements. Thus, a means of establishing computable prognostic models to accurately reflect process condition, whilst alleviating computational burdens, is essential. This is achievable by restricting the amount of information input that is redundant to modelling algorithms. In this paper, a variable clustering approach is investigated to reorganise the harmonics of common diagnostic features in rotating machinery into a smaller number of heterogeneous groups that reflect conditions of the machine with minimal information redundancy. Naïve Bayes classifiers established using a reduced number of highly sensitive input parameters realised superior classification powers over higher dimensional classifiers, demonstrating the effectiveness of the proposed approach. Furthermore, generic parameter capabilities were evidenced through confirmatory factor analysis. Parameters with superior deterministic power were identified alongside complimentary, uncorrelated, variables. Particularly, variables with little explanatory capacity could be eliminated and lead to further variable reductions. Their information sustainability is also evaluated with Naïve Bayes classifiers, showing that successive classification rates are sufficiently high when the first few harmonics are used. Further gains were illustrated on compression of chosen envelope harmonic features. A Naïve Bayes classification model incorporating just two compressed input variables realised an 83.3% success rate, both an increase in classification rate and an immense improvement volume-wise on the former ten parameter model.
Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm
Imen Zaidi, Mohamed Chtourou, Mohamed Djemel
2019,  vol. 16,  no. 2,   pp. 213-225 ,  doi: 10.1007/s11633-017-1062-2
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This work deals with robust inverse neural control strategy for a class of single-input single-output (SISO) discrete-time nonlinear system afiected by parametric uncertainties. According to the control scheme, in the flrst step, a direct neural model (DNM) is used to learn the behavior of the system, then, an inverse neural model (INM) is synthesized using a specialized learning technique and cascaded to the uncertain system as a controller. In previous works, the neural models are trained classically by backpropagation (BP) algorithm. In this work, the sliding mode-backpropagation (SM-BP) algorithm, presenting some important properties such as robustness and speedy learning, is investigated. Moreover, four combinations using classical BP and SM-BP are tested to determine the best conflguration for the robust control of uncertain nonlinear systems. Two simulation examples are treated to illustrate the efiectiveness of the proposed control strategy.
Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor
Saber Krim, Souflen Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni
2019,  vol. 16,  no. 2,   pp. 226-237 ,  doi: 10.1007/s11633-016-1017-z
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In a conventional direct torque control (CDTC) of the induction motor drive, the electromagnetic torque and the stator flux are characterized by high ripples. In order to reduce the undesired ripples, several methods are used in the literature. Nevertheless, these methods increase the algorithm complexity and dependency on the machine parameters such as the space vector modulation (SVM). The fuzzy logic control method is utilized in this work to decrease these ripples. Moreover, to eliminate the mechanical sensor the extended kalman filter (EKF) is used, in order to reduce the cost of the system and the rate of maintenance. Furthermore, in the domain of controlling the real-time induction motor drives, two principal digital devices are used such as the hardware (FPGA) and the digital signal processing (DSP). The latter is a software solution featured by a sequential processing that increases the execution time. However, the FPGA is featured by a high processing speed because of its parallel processing. Therefore, using the FPGA it is possible to implement complex algorithms with low execution time and to enhance the control bandwidth. The large bandwidth is the key issue to increase the system performances. This paper presents the interest of utilizing the FPGAs to implement complex control algorithms of electrical systems in real time. The suggested sensorless direct torque control using the fuzzy logic (DTFC) of an induction motor is successfully designed and implemented on an FPGA Virtex 5 using xilinx system generator. The simulation and implementation results show proposed approach's performances in terms of ripples, stator current harmonic waves, execution time, and short design time.
Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control
Xiu-Li Chai, Zhi-Hua Gan
2019,  vol. 16,  no. 2,   pp. 238-247 ,  doi: 10.1007/s11633-016-1020-4
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A new method is presented to study the function projective lag synchronization (FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are designed. Based on the Lyapunov stability theory and the impulsive control technology, some effective sufficient conditions are derived to ensure the drive system and the response system can be rapidly lag synchronized up to the given scaling function matrix. Numerical simulations are presented to verify the effectiveness and the feasibility of the analytical results.
A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis
Xi-Wen Wu, Chen Li, Xuan Wang, Hong-Ji Yang
2019,  vol. 16,  no. 2,   pp. 248-260 ,  doi: 10.1007/s11633-017-1102-y
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In software engineering, a scenario describes an anticipated usage of a software system. As scenarios are useful to understand the requirements and functionalities of a software system, the scenario-based analysis is widely used in various tasks, especially in the design stage of software architectures. Although researchers have proposed various scenario-based approaches to analyse software architecture, there are still limitations in this research field, and a key limitation is that scenarios are typically not formally defined and thus may contain ambiguities. As these ambiguities may lead to defects, it is desirable to reduce them as many as possible. In order to reduce ambiguity in scenario-based software architecture analysis, this paper introduces a creative computing approach to scenario-based software requirements analysis. Our work expands this idea in three directions. Firstly, we extend an architecture description language (ADL)-based language – Breeze/ADL to model the software architecture. Secondly, we use a creative rule – combinational rule (CR) to combine the vector clock algorithm for reducing the ambiguities in modelling scenarios. Then, another creative rule – transformational rule (TR) is employed to help to transform our Breeze/ADL model to a popular model – unified modelling language (UML) model. We implement our approach as a plugin of Breeze, and illustrate a running example of modelling a poetry to music system in our case study. Our results show the proposed creative approach is able to reduce ambiguities of the software architecture in practice.
Correlation of Direct Piezoelectric Effect on EAPap under Ambient Factors
Li-Jie Zhao, Chang-Ping Tang, Peng Gong
2010,  vol. 7,  no. 3,   pp. 324-329, doi: 10.1007/s11633-010-0510-z
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The Effect of Interatomic Potentials on the Molecular Dynamics Simulation of Nanometric Machining
Akinjide Oluwajobi, Xun Chen
2011,  vol. 8,  no. 3,   pp. 326-332, doi: 10.1007/s11633-011-0588-y
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Feature Selection and Feature Learning for High-dimensional Batch Reinforcement Learning: A Survey
De-Rong Liu, Hong-Liang, Li Ding Wang
2015,  vol. 12,  no. 3,   pp. 229-242, doi: 10.1007/s11633-015-0893-y
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Adaptive Terminal Sliding Mode Control for Rigid Robotic Manipulators
Mezghani Ben Romdhane Neila, Damak Tarak
2011,  vol. 8,  no. 2,   pp. 215-220, doi: 10.1007/s11633-011-0576-2
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Adaptive Fuzzy Sliding Mode Power System Stabilizer Using Nussbaum Gain
Emira Nechadi, Mohamed Naguib Harmas, Najib Essounbouli, Abdelaziz Hamzaoui
2013,  vol. 10,  no. 4,   pp. 281-287, doi: 10.1007/s11633-013-0722-0
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A New Method for Modelling and Simulation of the Dynamic Behaviour of the Wheel-rail contact
Arthur Anyakwo, Crinela Pislaru, Andrew Ball
2012,  vol. 9,  no. 3,   pp. 237-247, doi: 10.1007/s11633-012-0640-6
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Exponential Nonlinear Observer Based on the Differential State-dependent Riccati Equation
Hossein Beikzadeh, Hamid D. Taghirad
2012,  vol. 9,  no. 4,   pp. 358-368, doi: 10.1007/s11633-012-0656-y
Abstract PDF SpringerLink
Unknown Inputs Observer for a Class of Nonlinear Uncertain Systems: An LMI Approach
Kamel Mohamed, Mohammed Chadli, Mohamed Chaabane
2012,  vol. 9,  no. 3,   pp. 331-336, doi: 10.1007/s11633-012-0652-2
Abstract PDF SpringerLink
Coordination Control of Greenhouse Environmental Factors
Feng Chen, Yong-Ning Tang, Ming-Yu Shen
2011,  vol. 8,  no. 2,   pp. 147-153, doi: 10.1007/s11633-011-0567-3
Abstract PDF SpringerLink
Fault Tolerant Control for Networked Control Systems with Packet Loss and Time Delay
Ming-Yue Zhao, He-Ping Liu, Zhi-Jun Li, De-Hui Sun
2011,  vol. 8,  no. 2,   pp. 244-253, doi: 10.1007/s11633-011-0579-z
Abstract PDF SpringerLink
Second-order Sliding Mode Approaches for the Control of a Class of Underactuated Systems
Sonia Mahjoub, Faiçal Mnif, Nabil Derbel
2015,  vol. 12,  no. 2,   pp. 134-141, doi: 10.1007/s11633-015-0880-3
Abstract PDF SpringerLink
Adaptive Tracking Control of an Autonomous Underwater Vehicle
Basant Kumar Sahu, Bidyadhar Subudhi
2014,  vol. 11,  no. 3,   pp. 299-307, doi: 10.1007/s11633-014-0792-7
Abstract PDF SpringerLink
Position Control of Electro-hydraulic Actuator System Using Fuzzy Logic Controller Optimized by Particle Swarm Optimization
Daniel M. Wonohadidjojo, Ganesh Kothapalli, Mohammed Y. Hassan
2013,  vol. 10,  no. 3,   pp. 181-193, doi: 10.1007/s11633-013-0711-3
Abstract PDF SpringerLink
A Method for Trust Management in Cloud Computing: Data Coloring by Cloud Watermarking
Yu-Chao Liu, Yu-Tao Ma, Hai-Su Zhang, De-Yi Li, Gui-Sheng Chen
2011,  vol. 8,  no. 3,   pp. 280-285, doi: 10.1007/s11633-011-0583-3
Abstract PDF SpringerLink
State Feedback Sliding Mode Control without Chattering by Constructing Hurwitz Matrix for AUV Movement
Huan-Yin Zhou, Kai-Zhou Liu, Xi-Sheng Feng
2011,  vol. 8,  no. 2,   pp. 262-268, doi: 10.1007/s11633-011-0581-5
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Self-contained Capsubot Propulsion Mechanism
Nazmul Huda, Hong-Nian Yu, Samuel Oliver
2011,  vol. 8,  no. 3,   pp. 348-356, doi: 10.1007/s11633-011-0591-3
Abstract PDF SpringerLink
Adaptive Backstepping Sliding Mode Trajectory Tracking Control for a Quad-rotor
Xun Gong, Zhi-Cheng Hou, Chang-Jun Zhao, Yue Bai, Yan-Tao Tian
2012,  vol. 9,  no. 5,   pp. 555-560, doi: 10.1007/s11633-012-0679-4
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A New Sliding Function for Discrete Predictive Sliding Mode Control of Time Delay Systems
Abdennebi Nizar, Ben Mansour Houda, Nouri Ahmed Said
2013,  vol. 10,  no. 4,   pp. 288-295, doi: 10.1007/s11633-013-0723-z
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Sliding Mode Control with Disturbance Observer for Class of Nonlinear Systems
Lei-Po Liu, Zhu-Mu Fu, Xiao-Na Song
2012,  vol. 9,  no. 5,   pp. 487-491, doi: 10.1007/s11633-012-0671-z
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Delay Dependent Robust Stability of Singular Systems with Additive Time-varying Delays
N. Chaibi, E. H. Tissir, A. Hmamed
2013,  vol. 10,  no. 1,   pp. 85-90 , doi: 10.1007/s11633-013-0700-6
Abstract PDF SpringerLink
Current Issue

2019 Vol.16 No.2

Table of Contents

ISSN 1476-8186

E-ISSN 1751-8520

CN 11-5350/TP

Editors-in-chief
Tieniu TAN, Chinese Academy of Sciences Guoping LIU, University of South Wales Huosheng HU, University of Essex
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