Intelligent Observer and Control Design for Nonlinear Systems
Published on 17. April 2013
XIII, 339 pages
978-3-662-04117-8 (ISBN)
Description
Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines.
More details
Other editions
Additional editions
Book
10/2010
Springer
€160.49
Shipment within 7-9 days
Book
11/1999
Springer
€160.49
Shipment within 7-9 days
Persons
Content
1 Introduction - Control Aspects.- 2 Motion Control.- 3 Learning in Control Engineering.- 4 Nonlinear Function Approximators.- 5 Systematic Intelligent Observer Design.- 6 Identification of Separable Nonlinearities.- 7 Identification and Compensation of Friction.- 8 Detection and Identification of Backlash.- 9 Identification of Isolated Nonlinearities in Rolling Mills.- 10 Input-Output Linearization: an Introduction.- 11 Stable Model Reference Neurocontrol.- 12 Dynamic Neural Network Compositions.- 13 Further Strategies for Nonlinear Control with Neural Networks.- List of Figures.
