In this paper, an algorithm is proposed for the multi-objective optimal design of controllers with fixed structure, but tunable parameters, for linear time-invariant systems. Differently from other tools available in the literature, the proposed method allows one to determine an exact solution to a multi-objective minimization problem without eliminating variables. Several applications of the proposed method, which span from the computation of a Pareto optimal solution for a differential game to the fast stabilization of a closed-loop system, are reported to corroborate the theoretical results.

An Algorithm to Design Pareto Optimal Controllers for Linear Systems

Possieri Corrado;
2019

Abstract

In this paper, an algorithm is proposed for the multi-objective optimal design of controllers with fixed structure, but tunable parameters, for linear time-invariant systems. Differently from other tools available in the literature, the proposed method allows one to determine an exact solution to a multi-objective minimization problem without eliminating variables. Several applications of the proposed method, which span from the computation of a Pareto optimal solution for a differential game to the fast stabilization of a closed-loop system, are reported to corroborate the theoretical results.
2019
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Inglese
IEEE Conference on Decision and Control
2018-December
5482
5487
9781538613955
http://www.scopus.com/record/display.url?eid=2-s2.0-85062179221&origin=inward
17-19/12/2018
Miami Beach, FL, Stati Uniti
Multi-objective optimization
Linear systems
Controller design
3
none
Menini, Laura; Possieri, Corrado; Tornambe, Antonio
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/360613
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