Intelligent Control Design and MATLAB Simulation

LIU Jinkun received his BS, MS and PhD degrees from Northeastern University, Shenyang, China, in 1989, 1994 and 1997, respectively. He was a postdoctoral fellow at Zhejiang University from 1997 to 1999, and is currently a professor at Beihang University, China. He has published more than 100 research papers and eight books. His research interests include intelligent control and sliding mode control; partial differential equation (PDE) modeling and boundary control and application areas in motion control, such as flight control and robotic control, especially for under-actuated systems.

“The book can be regarded as a handy guide to the Matlab computing environment used in the realization of a variety of commonly encountered intelligent control approaches. … The book serves well its purpose: it is systematic as to the coverage of the representative topics goes. It is logically organized. It also brings a wealth of illustrative contents (computing examples and abundant graphic illustration). The practitioners and students could appreciate all the features.” (Witold Pedrycz, zbMath 1416.93002, 2019)

• Introduction.- Expert control.- Mathmatic foundation of fuzzy control.- Fuzzy logic control.- Adaptive fuzzy control.- Neural Network.- Typical Neural Network.- Senior Neural Network.- Neural network control with gradient descend.- Adaptive neural network control.- Digital RBF Neural Network Control.- Intelligent optimization algorithms.- Iterative learning control.