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Structured, Reduced-Order H2-Conic Control
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DOI：10.1109/TAC.2023.3303489.png)
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Abstract
En 中文
Practical controllers for large-scale systems must be low-order and sparsely communicating, as well as high-performing and robust to uncertainty. H-2-conic design addresses the latter requirements where passivity and H(infinity )methods are inapplicable, but it has yet to address the former. Here, the fixed-order H-2-conic design problem is posed as a series of convergent approximations. The resulting synthesis algorithm uses all controller parameters as explicit design variables, and is guaranteed to find a feasible controller under mild assumptions. This improves performance over previous H-2-conic designs while permitting controller dimension and communication structure to be arbitrarily chosen, which allows reduced-order and sparse distributed designs. The relationship between variable structure and computational complexity is explored, and the main algorithm is applied to numerical examples.
Keywords:
Control system synthesis
decentralized control
distributed control
linear matrix inequalities (LMIs)
large-scale systems
nonlinear systems
semidefinite programming
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W