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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Control of Continuous-Time Linear Systems With Markov Jump Parameters in Reverse Time

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Author(s):
Narvaez, Alfredo R. R. [1] ; Costa, Eduardo F. [2]
Total Authors: 2
Affiliation:
[1] Univ Atlantico, Fac Ciencias Basicas, Puerto Colombia 081007 - Colombia
[2] Univ Sao Paulo, Inst Ciencias Matemat Computacao, Dept Matemat Aplicada & Estat, Sao Carlos 13560970 - Brazil
Total Affiliations: 2
Document type: Journal article
Source: IEEE Transactions on Automatic Control; v. 65, n. 5, p. 2265-2271, MAY 2020.
Web of Science Citations: 0
Abstract

This note introduces continuous-time linear systems with switching parameters driven by a Markov chain running in reverse time. Reversibility of the chain is not imposed, so the system cannot be recast as standard Markov jump linear systems (MJLS), demanding for a specific study. We develop the operator-based approach, which is elaborate in view of possible multiplicity of solutions for the second moment variable, as detailed in this note. We also study the optimal quadratic control problem based on Hamilton-Jacobi-Bellman equations and standard dynamic programming. The control solution is given in terms of a coupled Riccati equation that is harmonious with filtering of MJLS, which allows us to generalize the classic control-filtering duality for linear time varying systems. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 17/20934-9 - Filtering and control of jump parameter systems
Grantee:Eduardo Fontoura Costa
Support Opportunities: Regular Research Grants