Systems, Automation, and Control Front Cover

Systems, Automation, and Control

  • Length: 130 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2017-10-15
  • ISBN-10: 3110468212
  • ISBN-13: 9783110468212
  • Sales Rank: #10119196 (See Top 100 Books)
Description

The book elaborates selected, extended and peer reviewed papers from the International Conference on Power Electrical Systems held in Mahdia, Tunisia in 2015. Main Topics are: multivariable -, nonlinear-, stochastic-, and robust control, robotics and mechatronics, synthesis of automation systems.

Table of Contents

Chapter 1. Nonlinear Progressive Accommodation of Actuator Fault
Chapter 2. Control of Redundantly Actuated PKMs for Closed-Shape Trajectories Tracking with Real-Time Experiments
Chapter 3. Decoupled Multimodel Predictive Control Based on Multi-observer for Discrete-time Uncertain Nonlinear Systems
Chapter 4. Robustness Enhancement of Proportional Q-integral Multiobserver in the Case of Non-stationary Sinusoidal Unknown Inputs
Chapter 5. Improved Peg-in-Hole (5-Pin Plug) Task: Intended for Charging Electric Vehicles by Robot System Automatically
Chapter 6. Active Mode Estimation via Clustering Algorithm for Switched Linear Systems
Chapter 7. Humanoid Locomotion Control and Reflex Using Van der Pol and Piecewise Linear Oscillators
Chapter 8. Continuous-Time System Identification with Fractional Models from Noisy Input and Output Data using Fourth-Order Cumulants
Chapter 9. Generalization Improvement of Wavelet Neural Networks Using Regularization Techniques
Chapter 10. Multivariable Adaptive Neural Control Based on Multimodel Emulator for Nonlinear Square MIMO Systems
Chapter 11. Sliding Mode Based Engine Speed Control for an Automated Manual Transmission During Gear Shifting Process
Chapter 12. Adaptive Output Feedback Control For Highly Uncertain Nonlinear Systems Using Single Hidden Layer Neural Networks
Chapter 13. RISE Feedback with NN Feedforward Control of a Servo-Positioning System for Track Following in HDD
Chapter 14. Single and Multiple Faults Detection in Nonlinear System Using Fuzzy Kalman Observer

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