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Convex-lifting-based robust control design using the tunable robust invariant sets

机译:使用可调鲁棒不变集的基于凸提升的鲁棒控制设计

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This paper addresses the problem of construction of the tunable robust positive invariant sets in the framework of convex-lifting-based robust control. Moreover, the paper introduces a switching control law minimizing the necessity to compute control input by solving a linear programming, that is computationally more expensive than a pre-computed linear control law. Simultaneously, the control performance is improved by introducing another robust positive invariant subset with more aggressive control law. The robust stability guarantee is proven. Two case studies investigate the benefits of the proposed strategy. (C) 2019 European Control Association. Published by Elsevier Ltd. All rights reserved.
机译:本文解决了在基于凸提升的鲁棒控制框架下构造可调鲁棒正不变量集的问题。此外,本文介绍了一种开关控制定律,该定律使通过求解线性规划来计算控制输入的必要性降至最低,这在计算上比预先计算的线性控制定律更为昂贵。同时,通过引入具有更积极的控制律的另一个鲁棒的正不变子集来改善控制性能。坚固的稳定性保证已得到证明。有两个案例研究了拟议策略的好处。 (C)2019欧洲控制协会。由Elsevier Ltd.出版。保留所有权利。

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