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Research Article
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.
Optimization RFID-enabled Retail Store Management with Complex Event Processing
Shang-Lian Peng, Ci-Jian Liu, Jia He, Hong-Nian Yu, Fan Li
Available online   doi: 10.1007/s11633-018-1164-5
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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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Motion-Force Transmissibility Characteristic Analysis of a Redundantly Actuated and Overconstrained Parallel Machine
Hai-Qiang Zhang, Hai-Rong Fang, Bing-Shan Jiang
Available online   doi: 10.1007/s11633-018-1156-5
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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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Effective Crowd Anomaly Detection through Spatio-Temporal Texture Analysis
Yu Hao, Zhi-Jie Xu, Ying Liu, Jing Wang, Jiu-Lun Fan
Available online   doi: 10.1007/s11633-018-1141-z
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Potential Bands of Sentinel--2A Satellite for Classification Problems in Precision Agriculture
Tian-Xiang Zhang, Jin-Ya Su, Cun-Jia Liu, Wen-Hua Chen
Available online   doi: 10.1007/s11633-018-1143-x
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Multi-layer contribution propagation analysis for fault diagnosis
Ruo-Mu Tan, Yi Cao
Available online   doi: 10.1007/s11633-018-1142-y
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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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Fuzzy Behavior-Based control of Three Wheeled Omnidirectional Mobile robot
Nacer Hacene, Boubekeur Mendil
Available online   doi: 10.1007/s11633-018-1135-x
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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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Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability
Chang-Jun Li, Zong-Shi Xie, Xin-Ran Peng, Bo Li
Available online   doi: 10.1007/s11633-018-1129-8
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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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Special Spectral Approach to Solutions of SISO LTI H-Optimization Problems
Evgeny I. Veremey
Available online   doi: 10.1007/s11633-017-1110-y
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A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis
Xi-Wen Wu, Chen Li, Xuan Wang, Hong-Ji Yang
Available online   doi: 10.1007/s11633-017-1102-y
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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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Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm
Imen Zaidi, Mohamed Chtourou, Mohamed Djemel
Available online   doi: 10.1007/s11633-017-1062-2
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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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Review
A Survey of Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
Yuan Wu, Hai-Bing Zhu, Qing-Xiu Du, Shu-Ming Tang
Available online   doi: 10.1007/s11633-018-1150-y
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Key Crowdsourcing Technologies for Product Design and Development
Xiao-Jing Niu, Sheng-Feng Qin, John Vines, Rose Wong, Hui Lu
Available online   doi: 10.1007/s11633-018-1138-7
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Function projective lag synchronization of chaotic systems with certain parameters via adaptive-impulsive control
Xiu-Li Chai, Zhi-Hua Gan
Available online   doi: 10.1007/s11633-016-1020-4
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Virtual Plate based Controlling Strategy of Toy Play for Robot's Communication Development in JA Space
Wei Wang, Xiao-Dan Huang
Available online   doi: 10.1007/s11633-016-1022-2
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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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Decomposition based Fuzzy Model Predictive Control approaches of Interconnected Nonlinear Systems
Latifa Dalhoumi, Mohamed Chtourou, Mohamed Djemel
Available online   doi: 10.1007/s11633-016-1021-3
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Contribution of the Field-Programmable Gate Array for complex control algorithms: Sensorless Direct Torque Fuzzy Control with Extended Kalman Filter of an Induction Motor
Saber Krim, Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni
Available online   doi: 10.1007/s11633-016-1017-z
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Iterative Selection of GOB poles in the context of System Modelling
Anis Khouaja, Hassani Messaoud
Available online   doi: 10.1007/s11633-016-0984-4
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Sequential Fault Diagnosis using An Inertial Velocity Differential Evolution Algorithm
Xiao-Hong Qiu, Yu-Ting Hu, Bo Li
Available online   doi: 10.1007/s11633-016-1008-0
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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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A Reliability Aware Protocol for Cooperative Communication in Cognitive Radio Networks
Munam Ali Shah, Si-Jing Zhang, Hong-Ji Yang
Available online   doi: 10.1007/s11633-016-0995-1
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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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H∞ state estimation for stochastic Markovian jumping Neural Network with time-varying delay and leakage delay
Ya-Jun Li, Zhao-Wen Huang, Jing-Zhao Li
Available online   doi: 10.1007/s11633-016-0955-9
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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
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey
Zhen-Jie Yao, Jie Bi, Yi-Xin Chen
2018,  vol. 15,  no. 6,   pp. 643-655 ,  doi: 10.1007/s11633-018-1136-9
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In the recent years, deep learning models have addressed many problems in various fields. Meanwhile, technology development has spawned the big data in healthcare rapidly. Nowadays, application of deep learning to solve the problems in healthcare is a hot research direction. This paper introduces the application of deep learning in healthcare extensively. We focus on 7 application areas of deep learning, which are electronic health records (EHR), electrocardiography (ECG), electroencephalogram (EEG), community healthcare, data from wearable devices, drug analysis and genomics analysis. The scope of this paper does not cover medical image processing since other researchers have already substantially reviewed it. In addition, we analyze the merits and drawbacks of the existing works, analyze the existing challenges, and discuss future trends.
An Overview of Contour Detection Approaches
Xin-Yi Gong, Hu Su, De Xu, Zheng-Tao Zhang, Fei Shen, Hua-Bin Yang
2018,  vol. 15,  no. 6,   pp. 656-672 ,  doi: 10.1007/s11633-018-1117-z
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Object contour plays an important role in fields such as semantic segmentation and image classification. However, the extraction of contour is a difficult task, especially when the contour is incomplete or unclosed. In this paper, the existing contour detection approaches are reviewed and roughly divided into three categories: pixel-based, edge-based, and region-based. In addition, since the traditional contour detection approaches have achieved a high degree of sophistication, the deep convolutional neural networks (DCNNs) have good performance in image recognition, therefore, the DCNNs based contour detection approaches are also covered in this paper. Moreover, the future development of contour detection is analyzed and predicted.
Research Article
Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming
G. Dharanibai, Anupama Chandrasekharan, Zachariah C. Alex
2018,  vol. 15,  no. 6,   pp. 673-688 ,  doi: 10.1007/s11633-018-1112-4
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The aim of this work is to develop an improved region based active contour and dynamic programming based method for accurate segmentation of left ventricle (LV) from multi-slice cine short axis cardiac magnetic resonance (MR) images. Intensity inhomogeneity and weak object boundaries present in MR images hinder the segmentation accuracy. The proposed active contour model driven by a local Gaussian distribution fitting (LGDF) energy and an auxiliary global intensity fitting energy improves the accuracy of endocardial boundary detection. The weightage of the global energy fitting term is dynamically adjusted using a spatially varying weight function. Dynamic programming scheme proposed for the segmentation of epicardium considers the myocardium probability map and a distance weighted edge map in the cost matrix. Radial distance weighted technique and conical geometry are employed for segmenting the basal slices with left ventricle outflow tract (LVOT) and most apical slices. The proposed method is validated on a public dataset comprising 45 subjects from medical image computing and computer assisted interventions (MICCAI) 2009 segmentation challenge. The average percentage of good endocardial and epicardial contours detected is about 99%, average perpendicular distance of the detected good contours from the manual reference contours is 1.95 mm, and the dice similarity coefficient between the detected contours and the reference contours is 0.91. Correlation coefficient and the coefficient of determination between the ejection fraction measurements from manual segmentation and the automated method are respectively 0.978 1 and 0.956 7, for LV mass these values are 0.924 9 and 0.855 4. Statistical analysis of the results reveals a good agreement between the clinical parameters determined manually and those estimated using the automated method.
Near Optimal PID Controllers for the Biped Robot While Walking on Uneven Terrains
Ravi Kumar Mandava, Pandu Ranga Vundavilli
2018,  vol. 15,  no. 6,   pp. 689-706 ,  doi: 10.1007/s11633-018-1121-3
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The execution of the gaits generated with the help of a gait planner is a crucial task in biped locomotion. This task is to be achieved with the help of a suitable torque based controller to ensure smooth walk of the biped robot. It is important to note that the success of the developed proportion integration differentiation (PID) controller depends on the selected gains of the controller. In the present study, an attempt is made to tune the gains of the PID controller for the biped robot ascending and descending the stair case and sloping surface with the help of two non-traditional optimization algorithms, namely modified chaotic invasive weed optimization (MCIWO) and particle swarm optimization (PSO) algorithms. Once the optimal PID controllers are developed, a simulation study has been conducted in computer for obtaining the optimal tuning parameters of the controller of the biped robot. Finally, the optimal gait angles obtained by using the best controller are fed to the real biped robot and found that the biped robot has successfully negotiated the said terrains.
Model Predictive Control for Vapor Compression Cycle of Refrigeration Process
Xiao-Hong Yin, Shao-Yuan Li
2018,  vol. 15,  no. 6,   pp. 707-715 ,  doi: 10.1007/s11633-015-0942-6
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A model predictive controller based on a novel structure selection criterion for the vapor compression cycle (VCC) of refrigeration process is proposed in this paper.Firstly, those system variables are analyzed which exert significant influences on the system performance.Then the structure selection criterion, a trade-off between computation complexity and model performance, is applied to different model structures, and the results are utilized to determine the optimized model structure for controller design.The controller based on multivariable model predictive control (MPC) strategy is designed, and the optimization problem for the reduced order models is formulated as a constrained minimization problem.The effectiveness of the proposed MPC controller is verified on the experimental rig.
The Resonance Suppression for Parallel Photovoltaic Grid-connected Inverters in Weak Grid
Qiu-Xia Yang, Kun Li, Cui-Mei Zhao, Hu Wang
2018,  vol. 15,  no. 6,   pp. 716-727 ,  doi: 10.1007/s11633-017-1072-0
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Obvious resonance peak will be generated when parallel photovoltaic grid-connected inverters are connected to the weak grid with high grid impedance, which seriously affects the stability of grid-connected operation of the photovoltaic system.To overcome the problems mentioned above, the mathematical model of the parallel photovoltaic inverters is established.Several factors including the impact of the reference current of the grid-connected inverter, the grid voltage interference and the current disturbance between the photovoltaic inverters in parallel with the grid-connected inverters are analyzed.The grid impedance and the LCL filter of the photovoltaic inverter system are found to be the key elements which lead to existence of resonance peak.This paper presents the branch voltage and current double feedback suppression method under the premise of not changing the topological structure of the photovoltaic inverter, which effectively handles the resonance peak, weakens the harmonic content of the grid current of the photovoltaic grid-connected inverter and the voltage at the point of common coupling, and improves the stability of the parallel operation of the photovoltaic grid-connected inverters in weak grid.At last, the simulation model is established to verify the reliability of this suppression method.
Adaptive Tracking Control of Mobile Manipulators with affine Constraints and Under-actuated Joint
Wei Sun, Wen-Xing Yuan, Yu-Qiang Wu
2018,  vol. 15,  no. 6,   pp. 728-735 ,  doi: 10.1007/s11633-015-0934-6
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Adaptive motion/force tracking control is considered for a class of mobile manipulators with affine constraints and under-actuated joints in the presence of uncertainties in this paper.Dynamic equation of mobile manipulator is transformed into a controllable form based on dynamic coupling technique.In view of the asymptotic tracking idea and adaptive theory, adaptive controllers are proposed to achieve the desired control objective. Detailed simulation results confirm the validity of the control strategy.
Adaptive Fault Tolerant Control of Multi-time-scale Singularly Perturbed Systems
Adel Tellili, Nouceyba Abdelkrim, Amina Challouf, Mohamed Naceur Abdelkrim
2018,  vol. 15,  no. 6,   pp. 736-746 ,  doi: 10.1007/s11633-016-0971-9
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This paper studies the fault tolerant control, adaptive approach, for linear time-invariant two-time-scale and three-time-scale singularly perturbed systems in presence of actuator faults and external disturbances.First, the full order system will be controlled using ε-dependent control law.The corresponding Lyapunov equation is ill-conditioned due to the presence of slow and fast phenomena.Secondly, a time-scale decomposition of the Lyapunov equation is carried out using singular perturbation method to avoid the numerical stiffness.A composite control law based on local controllers of the slow and fast subsystems is also used to make the control law ε-independent.The designed fault tolerant control guarantees the robust stability of the global closed-loop singularly perturbed system despite loss of effectiveness of actuators.The stability is proved based on the Lyapunov stability theory in the case where the singular perturbation parameter is sufficiently small.A numerical example is provided to illustrate the proposed method.
A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions
Mohammad Majidi, Alireza Erfanian, Hamid Khaloozadeh
2018,  vol. 15,  no. 6,   pp. 747-760 ,  doi: 10.1007/s11633-018-1137-8
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This paper presents a new approach to estimate the true position of an unmanned aerial vehicle (UAV) in the conditions of spoofing attacks on global positioning system (GPS) receivers. This approach consists of two phases, the spoofing detection phase which is accomplished by hypothesis test and the trajectory estimation phase which is carried out by applying the adapted particle filters to the integrated inertial navigation system (INS) and GPS. Due to nonlinearity and unfavorable impacts of spoofing signals on GPS receivers, deviation in position calculation is modeled as a cumulative uniform error. This paper also presents a procedure of applying adapted particle swarm optimization filter (PSOF) to the INS/GPS integration system as an estimator to compensate spoofing attacks. Due to memory based nature of PSOF and benefits of each particle′s experiences, application of PSOF algorithm in the INS/GPS integration system leads to more precise positioning compared with general particle filter (PF) and adaptive unscented particle filer (AUPF) in the GPS spoofing attack scenarios. Simulation results show that the adapted PSOF algorithm is more reliable and accurate in estimating the true position of UAV in the condition of spoofing attacks. The validation of the proposed method is done by root mean square error (RMSE) test.
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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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
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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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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
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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
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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
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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
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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
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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
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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
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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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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
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
Abstract PDF SpringerLink
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
Abstract PDF SpringerLink
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
Abstract PDF SpringerLink
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

2018 Vol.15 No.6

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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    We are very pleased to announce the "2018 Most Cited Paper Award" to the paper published between 2013-2016 that attracts the most citations. Citations of papers are based on data from Web of Science Core Collection that tracks the journal since its first publication. The winners will receive certificates issued by the Journal and signed by the Editor-In-Chief, Prof. Tieniu Tan.
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    International Journal of Automation and Computing (IJAC) Outstanding Reviewer Award recognizes individuals who have provided exemplary assistance to IJAC during the previous year.The recipients will receive certificates issued by the Journal and signed by the Editor-In-Chief, Prof. Tieniu Tan.
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