Control Systems: Classical, Modern, and AI-based Approaches

1st Edition

Jitendra R. Raol, Ramakalyan Ayyagari

CRC Press
June 26, 2019 Forthcoming
Textbook - 680 Pages - 438 B/W Illustrations
ISBN 9780815346302 - CAT# K345323

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Summary

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. This text builds a strong mathematical foundation of control theory of: linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and addresses applications in several emerging areas such as aircraft, electro-mechanical, and some non-engineering 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 of an 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; and associated MATLAB® code will be made available.

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