Nonlinear H2/H [infinity] constrained feedback control : a practical design approach using neural networks / Murad Abu-Khalaf, Jie Huang and Frank L. Lewis.
Presents algorithms for H2 and H-infinity design for nonlinear systems which provide solution techniques which can be implemented in real systems. This book offers case studies and explains the design of nonlinear control systems of the same caliber as those obtained using linear optimal and bounded...
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| Main Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
London :
Springer-Verlag,
[2006]
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| Series: | Advances in industrial control.
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| Subjects: | |
| Online Access: | Springer eBooks Table of contents Contributor biographical information Publisher description |
Table of Contents:
- 1. Preliminaries and introduction
- 2. Policy iterations and nonlinear H[subscript 2] constrained state feedback control
- 3. Nearly H[subscript 2] optimal neural network for constrained-input systems
- 4. Policy iterations and H[subscript [infinity]] constrained state feedback control
- 5. Nearly H[subscript [infinity]] optimal neural network for constrained-input systems
- 6. Taylor series approach to solving HJI equation
- 7. algorithm to solve discrete HJI equation arising from discrete nonlinear H[subscript [infinity]] control problems
- 8. H[subscript [infinity]] static output feedback.