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Received:January 15, 2004 |
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Adaptive switching control of discrete time nonlinear systems based on multiple models |
Rui KAN |
(Institute of Systems Science, AMSS Chinese Academy of Sciences, Beijing 100080, China) |
Abstract: |
We use the approach of "optimal" switching to design the adaptive control because the design among multiple models is intuitively more practically feasible than the traditional adaptive control in improving the performances. We prove that for a typical class of nonlinear systems disturbed by random noise, the multiple model adaptive switching control based on WLS (Weighted Least Squares) or prqjected-LS (Least Squares) is stable and convergent. |
Key words: Multiple model Switching control Adaptive control WLS LS Projected LS |