Adaptive, model-following control of chaotic systems
نویسنده
چکیده
We present an innovative adaptive, model following control scheme and apply it to control a chaotic system with unknown parameters. We illustrate the proposed approach with control of Duffing oscillator problem. The same idea is used to solve three important problems: suppression of chaos, anticontrol of chaos and chaos synchronization. We propose to use ‘approximators’ linearly parameterized by adaptive parameters. Approximators may be constructed as an neural network, fuzzy system or may be build using a simplified description of the unknown part of the plant. Key-Words: adaptive control, model-following control, chaotic systems, Duffing oscillator.
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