Control Systems: Classical, Modern, and AI-Based Approaches
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 for linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems. The book addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems. 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. Decentralized control, game-theoretic control, and control of hybrid systems are also discussed. Numerical coverage with MATLAB is integrated, and numerous examples and exercises are included for each chapter.
Some MATLAB examples and Simulink models are included in the book.
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.