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Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation
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DOI：10.1109/TAC.2021.3097285.png)
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摘要
En 中文
In this article, we investigate the problem of practical output regulation, i.e., to design a controller that brings the system output in the vicinity of a desired target value while keeping the other variables bounded. We consider uncertain systems that are possibly nonlinear and the uncertainty of their linear parts is modeled element wise through a parametric family of matrix boxes. An optimization-based design procedure is proposed that delivers a continuous-time control and estimates the maximal regulation error. We also analyze an event-triggered emulation of this controller, which can be implemented on a digital platform, along with an explicit estimate of the regulation error.
Keyword:
Uncertainty
Regulation
Optimization
System dynamics
Symmetric matrices
Robust control
Measurement uncertainty
Event-triggered control
optimization-based synthesis
robust control
element-wise uncertainty
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
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