Design of digital controllers for uncertain chaotic systems using fuzzy logic
| Autor: | Ahmed Muhammed Almanasreh, Hani Amasha, Mohammad Ababneh |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Controller design
Engineering Computer Networks and Communications business.industry Applied Mathematics Control (management) Fuzzy model Chaotic Control engineering Fuzzy logic Local linear models Set (abstract data type) Control and Systems Engineering Control theory Chaotic systems Signal Processing business |
| Zdroj: | Journal of the Franklin Institute. 346:543-556 |
| ISSN: | 0016-0032 |
| DOI: | 10.1016/j.jfranklin.2009.02.002 |
| Popis: | A new and systematic method to design digital controllers for uncertain chaotic systems with structured uncertainties is presented in this paper. Takagi–Sugeno (TS) fuzzy model is used to model the chaotic dynamic system, while the uncertainties are decomposed such that the uncertain chaotic system can be rewritten as a set of local linear models with an additional disturbed input. Conventional control techniques are utilized to develop the continuous-time controllers first. Then, the digital controllers are obtained as the digital redesign of the continuous-time controllers using the state-matching approach. The performance of the proposed controller design is illustrated through numerical examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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