This new edition of Digital Control and State Variable Methods presents control theory relevant to the analysis and design of computer-control systems. Meant for the undergraduate and post graduate courses on advanced control systems, this text provides an up-to-date treatment of digital control, state variable analysis and design, and nonlinear control.

• Organized in three parts to clearly convey the power and usability of the book.



• Contains all the material for a course on Digital Control Systems, with a focus on models of signal processing devices; digital control hardware: microcomputers, shaft encoders, stepping motors, programmable logic controllers; frequency-domain, and state variable analysis and design methods



• Provides a complete coverage to a course on Linear System Theory , incorporating state variable analysis and design methods for continuous-time and discrete-time systems



• For a course on Nonlinear Systems, gives detailed account of describing function and phase-plane methods; model reference adaptive control, generalized predictive control and self-tuning, sliding-mode control, and reinforcement learning control



• Thorough introduction to neural networks, support vector machines, fuzzy inference systems, and genetic algorithms for a course on Intelligent Control



• MATLAB and Simulink support for both conventional and intelligent control



• Reinforces development of problem-solving skills with review examples and comprehensive problems