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Model Predictive Control of Piecewise Affine System with Constrained Input and Time Delay

机译:具有输入和时滞约束的分段仿射系统的模型预测控制

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A model predictive control (MPC) is proposed for the piecewise affine (PWA) systems with constrained input and time delay. The corresponding operating region of the considered systems in state space is described as ellipsoid which can be characterized by a set of vector inequalities. And the constrained control input of the considered systems is solved in terms of linear matrix inequalities (LMIs). An MPC controller is designed that will move the PWA system with time delay from the current operating point to the desired one. Multiple objective functions are used to relax the monotonically decreasing condition of the Lyapunov function when the control algorithm switches from a quasi-infinite horizon to an infinite horizon strategy. The simulation results verify the effectiveness of the proposed method. It is shown that, based on LMI constraints, it is easy to get the MPC for the PWA systems with time delay. Moreover, it is suitable for practical application.
机译:针对具有受限输入和时间延迟的分段仿射(PWA)系统,提出了一种模型预测控制(MPC)。状态空间中所考虑系统的相应操作区域被描述为椭圆体,其特征可以是一组向量不等式。并根据线性矩阵不等式(LMI)解决了所考虑系统的约束控制输入。设计了一种MPC控制器,该控制器将PWA系统从当前工作点移至所需的时间会有一定的延迟。当控制算法从准无限地平线切换到无限地平线策略时,使用多个目标函数来放松Lyapunov函数的单调递减条件。仿真结果验证了该方法的有效性。结果表明,基于LMI约束,很容易获得具有延时的PWA系统的MPC。而且,它适合于实际应用。

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