Center of Intelligent and Learning Systems
School of Mathematics, Renmin University of China
This book mainly focuses on the design and analysis of stochastic iterative learning control (SILC), including the principles of algorithms design and associated analysis techniques under various random signals, where the random signals includes random noises, random data dropouts, random iteration lengths, etc. The first chapter surveys the current research status of SILC and main approaches. The following chapters 2-11 address detailed issues such as engineering nonlinearities, unknown control direction, data dropouts, random iteration-varying lengths, quantized control, and decentralized control.
This book can be taken as a reference book for scholars and graduate students in ILC. It is also referable for engineers in related fields.