返回
Set-theoretic output feedback control: A bilinear programming approach
DOI:10.1016/j.automatica.2023.111004.png)
摘要
En 中文
This paper addresses the problem of designing output feedback controllers for constrained linear systems subject to bounded process and measurement disturbances. The proposed solution extends the set-theoretic model predictive control framework to deal with constrained output regulation problems. In particular, this is here achieved by adequately exploiting the extended Farka's lemma to offline compute through bilinear optimization problems, a family of robust one-step controllable sets, and associated output feedback control gains. It is then formally proved that such computations can be online leveraged to design a simple switching controller capable of ensuring, by construction, that the state-trajectory of the system is always uniformly ultimately bounded, in a finite number of steps, into a small robust control invariant region. Finally, the effectiveness and benefits of the proposed solution are verified through a numerical example and compared with three alternative schemes.(c) 2023 Elsevier Ltd. All rights reserved.
Keyword:
Output feedback control
Constrained control
Set-theoretic MPC
Extended Farkas?s lemma
Bilinear programming
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
A synthesis approach for output feedback robust constrained model predictive control输出反馈鲁棒约束模型预测控制的综合方法
AUTOMATICA
IF5.9
Output Feedback Constrained Regulation of Linear Systems via Controlled-Invariant Sets通过受控不变集对线性系统进行输出反馈约束调节
Robust output feedback model predictive control using off-line linear matrix inequalities基于离线线性矩阵不等式的鲁棒输出反馈模型预测控制
Primary hyperparathyroidism in pregnancy leading to hypercalcaemic crisis and uraemic encephalopathy

