Digital Control by Kannan M. Moudga: A Comprehensive Textbook for Learning and Applying Digital Control Systems
Digital Control: Theory and Applications by Kannan M. Moudga
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Digital control systems are becoming increasingly prevalent and important within industry. They offer many advantages over analog control systems, such as higher accuracy, flexibility, robustness, and ease of implementation. However, learning and applying digital control systems requires a solid foundation of the theory and practice of digital control engineering.
One of the best textbooks for learning and applying digital control systems is Digital Control by Kannan M. Moudga, a professor of chemical engineering at the Indian Institute of Technology Bombay. This book teaches the fundamentals of digital control from scratch, assuming no prior knowledge of control engineering. It covers a wide range of topics, such as modeling, signal processing, identification, transfer function approach, state space techniques, and various control design methods.
The book is organized into five parts. The first part deals with modeling of sampled data systems, such as discrete-time systems, z-transforms, difference equations, and stability analysis. The second part is concerned with the topic of signal processing, which is essential for understanding and implementing digital controllers. It covers topics such as frequency response, discrete Fourier transform, fast Fourier transform, filtering, sampling theorem, aliasing, and quantization. The third part is devoted to identification of plants from measurements, which is an important skill in this information era. It covers topics such as parameter estimation, least squares method, maximum likelihood method, recursive estimation, model validation, and model order reduction. The fourth part presents the transfer function approach to control design, which is a classical and widely used method. It covers topics such as proportional-integral-derivative (PID) control, pole placement, internal model control, minimum variance control, model predictive control, and linear quadratic Gaussian control. The fifth part introduces the state space techniques for control design, which is a modern and powerful method. It covers topics such as state space representation, controllability and observability, state feedback control, observer design, Kalman filter, optimal control, and robust control.
The book is written in a clear and concise style, with numerous examples, problems, and solutions to illustrate the concepts and applications. It also includes accompanying MATLAB code for simulation and implementation of digital controllers. The book is suitable for senior undergraduates and postgraduates in chemical, electrical and mechanical engineering and computer science. It will also appeal to practicing systems engineers who need to learn digital control.
If you are looking for a comprehensive textbook for learning and applying digital control systems, Digital Control by Kannan M. Moudga is an excellent choice. You can find more information about the book at Google Books, Amazon, or Google Books (with CD). 04f6b60f66