We investigate the problem of practical output regulation: 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 the linear part is modeled element-wise through a parametric family of matrix boxes. An optimization-based design procedures 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 estimates of the regulation error.

Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation / Sarafraz, M. S.; Proskurnikov, A. V.; Tavazoei, M. S.; Mohajerinesfahani, P.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - STAMPA. - 67:7(2022), pp. 3529-3536. [10.1109/TAC.2021.3097285]

Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation

Proskurnikov A. V.;
2022

Abstract

We investigate the problem of practical output regulation: 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 the linear part is modeled element-wise through a parametric family of matrix boxes. An optimization-based design procedures 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 estimates of the regulation error.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2968938