“Performance of Nonlinear Approximate Adaptive Controllers”
Mark French, Csaba Szepesvári, Eric Rogers
Wiley | 2003-07-07 | ISBN: 0471498092 | 412 pages | PDF | 17,8 Mb
In recent years there has been a wide interest in non-linear adaptive control using approximate models, either for tracking or regulation, and usually under the banner of neural network based control. The authors present a unique critical evaluation of the approximate model philosophy and its setting, rigorously comparing the performance of such controls against competing designs. Analysing a very topical aspect of contemporary research and control practice this book highlights the situations in which approximate model based designs are most appropriate and indicates scenarios in which other designs could be used more productively. Throughout the text concepts are illustrated using a variety of examples, both academic problems and those based on physical examples. The work is designed to open the door to realistic applications.
- Portable Tag&Rename v3.4.6
- Temperament: A Psychological Perspective
- Frameworks for Thinking: A Handbook for Teaching and Learning
- Phenolic Compound Biochemistry
- Sol-Gel Science: The Physics and Chemistry of Sol-Gel Processing
- SAS Graphics for Java: Examples Using SAS AppDev Studio and the Output Delivery System