Recent Advances In Learning And Control
Download Recent Advances In Learning And Control PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Recent Advances In Learning And Control book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Recent Advances in Learning and Control
This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad, that honoured the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The editors have grouped these into the following 3 categories: learning and computational issues, learing for communication and identification, applications of learning and control. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. The reader will benefit from the expert participants’ ideas on the exciting new approaches to control and system theory and their predictions of future directions for the subject that were discussed at the workshop.
Real-time Iterative Learning Control
Author: Jian-Xin Xu
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-12-12
Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.
Advances in Motor Learning and Control
Advances in Motor Learning and Control surveys the latest, most important advances in the field, surpassing the confines of debate between proponents of the information processing and dynamical systems. Zelaznik, editor of the Journal of Motor Behavior from 1989 to 1996, brings together a variety of perspectives. Some of the more difficult topics-such as behavioral analysis of trajectory formation and the dynamic pattern perspective of rhythmic movement-are presented in tutorial fashion. Other chapters provide a foundation for understanding increasingly specialized areas of study.