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- 저자 : Mojtaba Barkhordari Yazdi (검색결과 2 건)
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Hamid Ghadiri,Mohammad Reza Jahed-Motlagh,Mojtaba Barkhordari Yazdi 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.6
This paper considers the robust output observer-based guaranteed cost control (GCC) for a class of un-certain switched neutral systems (USNSs) where delays are discrete, neutral, and time-varying. This research emphasizes the cases where uncertainties are norm-bounded and time-varying. The GCC is the problem of obtaining an adequate level of performance index in addition to the exponential stability from a practical perspective. First, delay-dependent sufficient conditions are suggested using the average dwell time approach and the piecewise Lyapunov function technique in terms of a set of linear matrix inequalities to guarantee the robust exponential stability via the output observer-based controller. The problem of uncertainty in USNSs is solved by designing a robust output observer-based control and applying Yakubovich lemma. Then, the corresponding conditions are obtained for USNSs via the applied controller under the GCC. The controller and the observer in an observer-based control problem cannot be designed separately, meaning that a separation principle does not hold in this re-search. Finally, a numerical example is given to determine the effectiveness of the proposed theory.
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Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems
Seyyed Mostafa Tabatabaei,Sara Kamali,Mohammad Reza Jahed Motlagh,Mojtaba Barkhordari Yazdi 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.4
Controlling a class of chaotic hybrid systems in the presence of noise is investigated in this paper. Toreach 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, theoff-line control law makes it easier to be implemented in comparison with the on-line approach, especially forcomplex systems like the chaotic ones. In order to verify the proposed control structure practically, an op-ampbased Chua’s chaotic circuit is designed. The white Gaussian noise is considered in this circuit. Therefore, thenonlinear estimators –extended and unscented Kalman filter (EKF and UKF)– are utilized to estimate signals fromthe noise-embedded chaotic system. Performance of these estimators for this experimental setup is compared inboth open-loop and closed-loop systems. The experimental results demonstrate the effectiveness of the eMPCapproach as well as the nonlinear estimators for chaos control in the presence of noise.
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