This book provides a relatively comprehensive description of the basic theories, methods and applications of intelligent control. It is divided into 17 chapters, the main content being the basic principles and applications of fuzzy control, the basic principles and applications of neural network control, intelligent optimization algorithms and their applications. The book is systematic, highlighting the link between theories and practices, and explaining profound knowledge in a simple manner, which make it suitable for beginners. It gives some simulation examples of intelligent algorithms and MATLAB simulation programs, supplemented with a certain number of exercises and computer operation problems. It can be used as teaching materials for senior undergraduates and postgraduates of industrial automation, computer applications, electronic engineering and other majors in colleges and universities, and it is also suitable for reading and reference for engineering technicians engaged in the field of industrial automation.

Liu Jinkun is a professor and his research interest is control theory and applications.