2016
DOI: 10.1007/s40903-016-0055-8
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Flatness-Based Adaptive Neurofuzzy Control of Chaotic Dynamical Systems

Abstract: The paper proposes a solution to the problem of control of nonlinear chaotic dynamical systems, which is based on differential flatness theory and on adaptive fuzzy control. An adaptive fuzzy controller is designed for chaotic dynamical systems, under the constraint that the system's model is unknown. The control algorithm aims at satisfying the H ∞ tracking performance criterion, which means that the influence of the modeling errors and the external disturbances on the tracking error is attenuated to an arbit… Show more

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