A Detailed Study of Adaptive Control of Chaotic Systems with Unknown Parameters
نویسنده
چکیده
In this paper, we study the control of chaotic systems with unknown parameters. A stable adaptive control scheme is used to guarantee that the parameter estimator converges to stabilizing values such that the controlled chaotic system asymptotically approaches a reference point. A Lyapunov function approach is used to prove a global result which guarantees the stability of both controlled chaotic system and the adaptive parameter estimator. The center manifold theorem is used to prove the stability of the adaptive parameter estimator. To demonstrate the usefulness of this adaptive control of chaotic systems, computer simulation results are provided. We use Chua’s circuit with cubic nonlinearity in our simulations. We provide the simulation results of control of Chua’s circuit with 6 unknown parameters.
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