Abstract
In this brief, we develop an intelligent digital redesign method for hybrid state space fuzzy-model-based controllers, effective for stabilization of continuous-time uncertain nonlinear systems under discrete-time controller. Takagi-Sugeno (TS) fuzzy model is used to represent the complex system as multiple and uncertain linear state-space models over different local operating regions. A continuous-time fuzzy-model-based controller is then synthesized for stabilization, where the guaranteed-cost design method is utilized to cope with system uncertainties. The local controllers of the continuous-time fuzzy-model-based controller are then converted to equivalent discrete-time counterparts and aggregated through the fuzzy inference system to give a discrete-time fuzzy-model-based controller. Finally, a TS fuzzy model for the chaotic Lorenz system is used as an illustrative example to show the effectiveness and the feasibility of the developed design method.
| Original language | English |
|---|---|
| Pages (from-to) | 509-517 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications |
| Volume | 49 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2002 Apr 1 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering