Nonlinear H2 / H Infinity Constrained Feedback Control
A Practical Design Approach Using Neural Networks
* Prices displayed are in Australian Dollars and, where applicable, GST inclusive
Description:
The authors present algorithms for H2 and H-infinity design for nonlinear systems which provide solution techniques which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations. Constraints on the control actuator inputs are dealt with. Results are proven to give confidence and performance guarantees. The algorithms can be used to obtain practical controllers. Nearly optimal applications to constrained-state and mimimum-time problems are discussed as is discrete-time design for digital controllers. Nonlinear H2/H-infinity Constrained Feedback Control is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained. The book will also be of interest to academics and graduate students in control systems as a complete foundation for H2 and H-infinity design.
Details:
- Publisher: Springer Verlag
- Textual Format: Computer Applications, Textbooks, Lower level
- Academic Level: Scholarly/Graduate
- Depth (m): 0.013
- Dewey: 621
- Height (m): 0.235
- Pages: 203
- Place Of Publication: Great Britain/British Isles
- Published Date: Sat 1 Jul 2006
- Weight (g): 522
- Width (m): 0.152
Availability
This is an import product, and as such may take longer to source stock, we estimate that despatch will take 14-20 days after ordering, click here for more information regarding import products.
|
More 
shopping cart