Control Systems

<p><strong>Control Systems: Classical Modern and AI-Based Approaches</strong> 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.</p>