Autor: |
Cheng-Xian Xie, Tie-Yan Zhang, Hua-Guan Zhang |
Rok vydání: |
2003 |
Předmět: |
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Zdroj: |
Proceedings. International Conference on Machine Learning and Cybernetics. |
DOI: |
10.1109/icmlc.2002.1167503 |
Popis: |
A novel universal adaptive learning control approach based on Fourier series is proposed for a class of general time-varying nonlinear systems. The closed-loop system. consists of two loops. One loop is the inner loop, in which the feedback control actions are up-dated at each sampling period. The inner loop is used to stabilize the open-loop system and provide robustness. The other loop is an outer loop, in which the Fourier series-based learning control actions are up-dated at each pass. The outer loop is designed to overcome unmodeled dynamics. The global stability condition of the closed-loop nonlinear control system has been given. Numerical simulation is carried out to illustrate the effectiveness of the proposed controller. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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