A Randomized Algorithm for Optimal PID Controllers

A randomized algorithm is suggested for the syntheses of optimal PID controllers for MIMO coupled systems, where the optimality is with respect to the H ∞ -norm, the H 2 -norm and the LQR functional, with possible system-performance specifications defined by regional pole-place...

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Main Author: Yossi Peretz
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/11/6/81
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author Yossi Peretz
author_facet Yossi Peretz
author_sort Yossi Peretz
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description A randomized algorithm is suggested for the syntheses of optimal PID controllers for MIMO coupled systems, where the optimality is with respect to the H ∞ -norm, the H 2 -norm and the LQR functional, with possible system-performance specifications defined by regional pole-placement. Other notions of optimality (e.g., mixed H 2 / H ∞ design, controller norm or controller sparsity) can be handled similarly with the suggested algorithm. The suggested method is direct and thus can be applied to continuous-time systems as well as to discrete-time systems with the obvious minor changes. The presented algorithm is a randomized algorithm, which has a proof of convergence (in probability) to a global optimum.
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spelling doaj.art-da99d3cc965742e0bfeb301821fbe1182022-12-21T18:42:34ZengMDPI AGAlgorithms1999-48932018-06-011168110.3390/a11060081a11060081A Randomized Algorithm for Optimal PID ControllersYossi Peretz0Department of Computer Sciences, Lev Academic Center, Jerusalem College of Technology, P.O.B. 16031 Jerusalem, IsraelA randomized algorithm is suggested for the syntheses of optimal PID controllers for MIMO coupled systems, where the optimality is with respect to the H ∞ -norm, the H 2 -norm and the LQR functional, with possible system-performance specifications defined by regional pole-placement. Other notions of optimality (e.g., mixed H 2 / H ∞ design, controller norm or controller sparsity) can be handled similarly with the suggested algorithm. The suggested method is direct and thus can be applied to continuous-time systems as well as to discrete-time systems with the obvious minor changes. The presented algorithm is a randomized algorithm, which has a proof of convergence (in probability) to a global optimum.http://www.mdpi.com/1999-4893/11/6/81continuous-time linear systemsdiscrete-time linear systemsstate-space representationproportional-integral-differential controllersstatic output feedbacksoptimal controllersrandomized algorithmsconvergence in probability
spellingShingle Yossi Peretz
A Randomized Algorithm for Optimal PID Controllers
Algorithms
continuous-time linear systems
discrete-time linear systems
state-space representation
proportional-integral-differential controllers
static output feedbacks
optimal controllers
randomized algorithms
convergence in probability
title A Randomized Algorithm for Optimal PID Controllers
title_full A Randomized Algorithm for Optimal PID Controllers
title_fullStr A Randomized Algorithm for Optimal PID Controllers
title_full_unstemmed A Randomized Algorithm for Optimal PID Controllers
title_short A Randomized Algorithm for Optimal PID Controllers
title_sort randomized algorithm for optimal pid controllers
topic continuous-time linear systems
discrete-time linear systems
state-space representation
proportional-integral-differential controllers
static output feedbacks
optimal controllers
randomized algorithms
convergence in probability
url http://www.mdpi.com/1999-4893/11/6/81
work_keys_str_mv AT yossiperetz arandomizedalgorithmforoptimalpidcontrollers
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