000			01843 a2200193 4500
020			_a9780815346302
040			_cIIT Kanpur
041			_aeng
082			_a629.8 _bR18c
100			_aRaol, Jitendra R.
245			_aControl systems _bclassical, modern, and AI-based approaches _cJitendra R. Raol and Ramakalyan Ayyagari
260			_bCRC Press _c2020 _aBoca Raton
300			_axxxiv, 634p
520			_aControl 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
650			_aMATLAB
650			_aAutomatic control
700			_aAyyagari, Ramakalyan
942			_cBK
999			_c560989 _d560989