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Explicit Model Predictive Control of Networked Control Systems with Time-Delay

机译:具有暂时延迟网络控制系统的显式模型预测控制

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In order to deal with random communication time delay in Networked Control Systems (NCS), an explicit model predictive control (eMPC) method is presented in this paper. The algorithm is based on multi-parametric quadratic programming to get a state feedback control law which is explicit to the states. And based on this control law, the piecewise affine model of the closed-loop model predictive control system is established. We show that the control law is piecewise linear and continuous for the finite horizon problem. Thus, the on-line control computation reduces to the simple evaluation of a piecewise affine model. Since the algorithm does not require repeated online optimization, it improves the on-line calculation speed of the controller, making the system better in real-time. The algorithm deals with the random communication time delay well. Simulation results show the effectiveness of the proposed method.
机译:为了处理网络控制系统(NCS)中的随机通信时间延迟,本文提出了一种显式模型预测控制(EMPC)方法。该算法基于多参数二次编程,以获得州的州反馈控制法,该规律显式地向状态显式。基于该控制法,建立了闭环模型预测控制系统的分段仿射模型。我们表明,控制法是分段线性和连续的有限地平问题。因此,在线控制计算降低了分段仿射模型的简单评估。由于算法不需要重复在线优化,因此它提高了控制器的在线计算速度,从而实时使系统更好。该算法涉及随机通信时间延迟。仿真结果表明了该方法的有效性。

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