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 analysis and design of a neural network assisted nonlinear controller for a bioreactor
โ Scribed by Mehmet Onder Efe; Ender Abadoglu; Okyay Kaynak
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 214 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1049-8923
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โฆ Synopsis
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 that it is stable in the sense of bounded input bounded output and locally stabilizing in the sense of Lyapunov. The feasibility and the e$cacy of the proposed approach are tested on the benchmark problem.
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