A robust (or H∞) approach to ÿltering for nonlinear systems is considered. A bound on the estimate error as a function of the disturbance energy is obtained. The corresponding dynamic programming equation is a ÿrst-order PDE. This has computational ramiÿcations. The case where the measurements are d
✦ LIBER ✦
H∞ filtering for nonlinear systems via neural networks
✍ Scribed by Xiaoli Luan; Fei Liu; Peng Shi
- Book ID
- 108171894
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 249 KB
- Volume
- 347
- Category
- Article
- ISSN
- 0016-0032
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