|Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems
Seyyed Mostafa Tabatabaei, Sara Kamali, Mohammad Reza Jahed-Motlagh, and Mojtaba Barkhordari Yazdi*
International Journal of Control, Automation, and Systems, vol. 17, no. 4, pp.857-866, 2019
Abstract : "Controlling a class of chaotic hybrid systems in the presence of noise is investigated in this paper. To
reach this goal, an explicit model predictive control (eMPC) in combination with nonlinear estimators is employed.
Using the eMPC method, all the computations of the common MPC approach are moved off-line. Therefore, the
off-line control law makes it easier to be implemented in comparison with the on-line approach, especially for
complex systems like the chaotic ones. In order to verify the proposed control structure practically, an op-amp
based Chua’s chaotic circuit is designed. The white Gaussian noise is considered in this circuit. Therefore, the
nonlinear estimators –extended and unscented Kalman filter (EKF and UKF)– are utilized to estimate signals from
the noise-embedded chaotic system. Performance of these estimators for this experimental setup is compared in
both open-loop and closed-loop systems. The experimental results demonstrate the effectiveness of the eMPC
approach as well as the nonlinear estimators for chaos control in the presence of noise."
Chaos control, Chua’s circuit, explicit model predictive control (eMPC), noise, unscented Kalman filter.
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