Adaptive Control of Parametric Strict Feedback Systems with Improved Performance Using Modified Backstepping
| Authors: | Grinits Erick Vile, UNICAMP, Brazil
Bottura Celso Pascoli, UNICAMP, Brazil |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Soft Computing for Control |
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| Keywords: | Nonlinear control, adaptive control, optimization problems, genetic algorithms, chaotic behaviour |
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Abstract
It is proposed a modification of the traditional adaptive backstepping method which leads to less control effort in the problem of non-linear control. The technique, which is applicable to parametric strict feedback systems, is built on a recently introduced Invariance Principle Extension and incorporates the use of optimisation techniques based on evolutionary computation to adjust the controller parameters. Simulations with the Chua's system are conducted to show the feasibility and effectiveness of the approach.
