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Journal Articles Journal of Control Science and Engineering Year : 2018

Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems

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Abstract

The approximate Prediction-Based Control method (aPBC) is the continuous-time version of the well-known Prediction-Based Chaos Control method applied to stabilize periodic orbits of nonlinear dynamical systems. The method is based on estimating future states of the free system response of continuous-time systems using the solution from the Runge-Kutta implicit method in real-time. Some aspects of aPBC are evaluated in the present work, particularly, its robustness to low future states estimation precision is exemplified.
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Dates and versions

hal-01722175 , version 1 (03-03-2018)

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Thiago P Chagas, Pierre-Alexandre Bliman, Karl H Kienitz. Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems. Journal of Control Science and Engineering, 2018, 2018, pp.1-29. ⟨10.1155/2018/3298286⟩. ⟨hal-01722175⟩
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