Robust Recursive Regulator for Systems Subject to Polytopic Uncertainties

Robust Recursive Regulator for Systems Subject to Polytopic Uncertainties

We present a robust recursive framework for the regulation of discrete-time linear systems subject to polytopic uncertainties. Based on regularized least-squares with a penalty parameter, we formulate a convex optimization problem and weight the polytope vertices altogether. In this sense, the main...

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Bibliographic Details
Main Authors: Jose Nuno A. D. Bueno, Kaio D. T. Rocha, Marco H. Terra
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Discrete-time systems
least-squares
optimization problem
penalty function
Riccati equations
robust control
Online Access:https://ieeexplore.ieee.org/document/9562547/

Internet

https://ieeexplore.ieee.org/document/9562547/

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