LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems
LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems
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DOI：
10.1007/978-3-642-01094-1_8
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
C. Böhm;Tobias Raff;M. Reble;F. Allgöwer
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文献类型：
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作者：
C. Böhm;Tobias Raff;M. Reble;F. Allgöwer
针对线性约束离散周期系统提出了一种新的模型预测控制方案。在每个周期的系统中，一个新的周期性状态反馈控制律计算通过凸优化问题，最小化的状态和输入约束下的无限水平成本函数的上限。所提出的模型预测控制器的性能，稳定的离散时间周期系统，如果它最初是可行的，通过一个例子来说明。
This paper presents a newmodel predictive control (MPC) scheme for linear constrained discrete-time periodic systems. In each period of the system, a new periodic state feedback control law is computed via a convex optimization problem that minimizes an upper bound on an infinite horizon cost function subject to state and input constraints. The performance of the proposed model predictive controller, that stabilizes the discrete-time periodic system if it is initially feasible, is illustrated via an example.