Design and performance analysis of a direct adaptive controller for nonlinear systems
โ Scribed by T. Zhang; S.S. Ge; C.C. Hang
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 275 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper, a direct adaptive controller is developed based on multilayer neural networks (MNNs) for a class of nonlinear systems. The proposed scheme avoids the possible singularity problem of the controller usually met in adaptive control design. The system tracking error is proven to converge to a small neighborhood of zero, while the stability of the closed-loop system is guaranteed. The transient performance of the resulting adaptive system is analytically quanti"ed, and an example is given to show the e!ectiveness of the scheme.
๐ SIMILAR VOLUMES
Presented in this paper is a frequency-based controller design methodology for a class of nonlinear systems that can be characterized by a class of Hammerstein models. The controller design is directed toward the disturbance rejection problem where the output performance speci"cation appears as a ti
A novel approach is presented for the analysis and the design of a controller for a bioreactor. It is based on the model reference control theory, assisted by a neural network identi"er. The control objectives speci"ed in the paper require the controller to be a nonlinear one, however, it is shown t