Systems, Automation and Control: 2017

Description

The fifth volume of the Series Advances in Systems, Signals and Devices, is dedicated to fields related to Systems, Automation and Control. The scope of this issue encompasses all aspects of the research, development and applications of the science and technology in these fields. Topics of this issue concern: system design, system identification, biological and economical models & control, modern control theory, nonlinear observers, control and application of chaos, adaptive/non-adaptive backstepping control techniques, advances in linear control theory, systems optimization, multivariable control, large scale and infinite dimension systems, nonlinear control, distributed control, predictive control, geometric control, adaptive control, optimal and stochastic control, robust control, neural control, fuzzy control, intelligent control systems, diagnostics, fault tolerant control, robotics and mechatronics, navigation, robotics and human-machine interaction, hierarchical and man-machine systems, etc. Authors are encouraged to submit novel contributions which include results of research or experimental work discussing new developments in the field of systems, automation and control. The series can be also addressed for editing special issues for novel developments in specific fields. The aim of this volume is to promote an international scientific progress in the fields of systems, automation and control. It provides at the same time an opportunity to be informed about interesting results that have been reported during the international SSD conferences. The book presents selected, extended and peer reviewed papers from the International Conference on Systems, Analysis and Automatic Control held in Mahdia, Tunisia in 2015. Main Topics are: automatic control, robotics, synthesis of automation systems. Preface of the Editors Contents Nonlinear Progressive Accommodation of Actuator Fault Control of Redundantly Actuated PKMs for Closed-Shape Trajectories Tracking with Real-Time Experiments Decoupled Multimodel Predictive Control Based on Multi-observer for Discrete-time Uncertain Nonlinear Systems Robustness Enhancement of Proportional Q-integral Multiobserver in the Case of Non-stationary Sinusoidal Unknown Inputs Improved Peg-in-Hole (5-Pin Plug) Task: Intended for Charging Electric Vehicles by Robot System Automatically Active Mode Estimation via Clustering Algorithm for Switched Linear Systems Humanoid Locomotion Control and Reflex Using Van der Pol and Piecewise Linear Oscillators Continuous-Time System Identification with Fractional Models from Noisy Input and Output Data using Fourth-Order Cumulants Generalization Improvement of Wavelet Neural Networks Using Regularization Techniques Multivariable Adaptive Neural Control Based on Multimodel Emulator for Nonlinear Square MIMO Systems Sliding Mode Based Engine Speed Control for an Automated Manual Transmission During Gear Shifting Process Adaptive Output Feedback Control For Highly Uncertain Nonlinear Systems Using Single Hidden Layer Neural Networks RISE Feedback with NN Feedforward Control of a Servo-Positioning System for Track Following in HDD Single and Multiple Faults Detection in Nonlinear System Using Fuzzy Kalman Observer