Control Systems: Classical, Modern, and AI-Based Approaches provides a broad and comprehensive study of the principles, mathematics, and applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems: DC motor control, steel beam thickness control, drum boiler, motional control system, chemical reactor, head-disk assembly, pitch control of an aircraft, yaw-damper control, helicopter control, and tidal power control. Decentralized control, game-theoretic control, and control of hybrid systems are discussed. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control, and adaptive neuro control. Numerical coverage with MATLAB® is integrated, and numerous examples and exercises are included for each chapter. Associated MATLAB® code will be made available.
Table of Contents:
Section I: Linear and Nonlinear Control 1. Linear Systems and Control 2. Nonlinear Systems 3. Nonlinear Stability Analysis 4. Nonlinear Control Design Section II: Optimal and H-Infinity Control 5. Optimization-Extremization of Cost Function 6. Optimal Control 7. Model Predictive Control 8. Robust Control Section III: Digital and Adaptive Control 9. Discrete Time Control Systems 10. Design of Discrete Time Control Systems 11. Adaptive Control 12. Computer-Controlled Systems Section IV: AI-Based Control 13. Introduction to AI-Based Control 14. ANN-Based Control Systems 15. Fuzzy Control Systems 16. Nature Inspired Optimization for Controller Design Section V: System Theory and Control Related Topics
About the Author :
Jitendra R. Raol, PhD, is Emeritus Professor at the M. S. Ramaiah Institute of Technology in Bangalore, India. He previously served at the National Aerospace Laboratories (NAL) as Scientist-G and Head of the Flight Mechanics and Control Division (FMCD). He is a fellow of the IEE (UK), a senior member of the IEEE (US), a life-fellow of the Aeronautical Society of India, and a life member of the System Society of India. He has guided nearly a dozen doctoral research scholars and is a reviewer of many international journals.
Ramakalyan Ayyagari, PhD, is with the Department of Instrumentation and Control Engineering at the National Institute of Technology—a deemed University, Tiruchirappalli, India. He earned a master’s at Andhra University, India, and a PhD at the Indian Institute of Technology, Delhi. Dr. Ayyagari’s areas of specialty include cyber physical systems, network flow control, modeling and control of big data systems, and path planning.
