Digital Control and State Variable Methods

0.0

The book provides an Equal weightage on both control of Continuous-Time & Discrete- Time linear systems, based on frequency-domain & state space methods of design. This edition introduces detailed coverage on Intelligent Control with Neural Networks/Support Vector Machines, Fuzzy Logic and Neuro-Fuzzy Systems and Optimization with Genetic Algorithm for better comprehension of the subject. Key Features: 2 Chapters dedicated to the coverage of Nonlinear systems MATLAB/ Simulink tools are present as part of the Web Supplements New chapters on: Intelligent Control with Neural Networks/Support Vector Machines Fuzzy Logic and Neuro-Fuzzy Systems and Optimization with Genetic Algorithm

0.0

Madan Gopal, Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi Table of Contents Part I Digital Control: Principles and Design in Transform Domain 1. Introduction 2. Signal Processing in Digital Control 3. Models of Digital Control Devices and Systems 4. Design of Digital Control Algorithms Part II State Variable Methods in Automatic Control: Continuous-Time and Sampled-Data Systems 5. Control System Analysis Using State Variable Methods 6. State Variable Analysis of Digital Control Systems 7. Pole-Placement Design and State Observers 8. Linear Quadratic Optimal Control through Lyapunov Synthesis Part III Nonlinear Control Systems: Conventional and Intelligent 9. Nonlinear Systems Analysis 10. Nonlinear Control Structures 11. Intelligent Control with Neural Networks/Support Vector Machines 12. Fuzzy Logic and Neuro-Fuzzy Systems 13. Optimization with Genetic Algorithms 14. Intelligent Control with Reinforcement Learning