Output-feedback predictive control of constrained linear systems via set-membership state estimation
Output-feedback predictive control of constrained linear systems via set-membership state estimation
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DOI：
10.1080/002071700403420
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发表时间：
2000-01
影响因子：
2.1
通讯作者：
A. Bemporad;A. Garulli
中科院分区：
文献类型：
--
作者：
A. Bemporad;A. Garulli
本文结合模型预测控制（MPC）和集员状态估计（SM）技术控制系统的硬输入和状态约束。考虑了具有未知有界扰动和部分状态信息的线性系统。所采用的方法保证了所有的状态，这是兼容的可用信息和给定的范围内的所有干扰的约束条件得到满足。所提出的MPC-SM算法的性能和仿真研究的报告。
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniques for controlling systems subject to hard input and state constraints. Linear systems with unknown but bounded disturbances and partial state information are considered. The adopted approach guarantees that the constraints are satisfied for all the states which are compatible with the available information and for all the disturbances within given bounds. Properties of the proposed MPC-SM algorithm and simulation studies are reported.