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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.)

Direct discrete time design of robust state derivative feedback control laws

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Author(s):
Rossi, Fernanda Quelho [1] ; Harrop Galvao, Roberto Kawakami [1] ; Minhoto Teixeira, Marcelo Carvalho [2] ; Assuncao, Edvaldo [2]
Total Authors: 4
Affiliation:
[1] ITA, Dept Elect Engn, Sao Jose Dos Campos, SP - Brazil
[2] UNESP Univ Estadual Paulista, Dept Elect Engn, Ilha Solteira, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: International Journal of Control; v. 91, n. 1, p. 70-84, 2017.
Web of Science Citations: 4
Abstract

This paper is concerned with the problem of designing robust state derivative feedback control laws in discrete time. The main contribution consists of a method for recasting a continuous time state space model in the form of a discrete time model formulated in terms of the state derivative. Uncertain input delays and parametric uncertainties in polytopic form can be propagated from the original state space representation to the resulting state derivative model. Therefore, robust control techniques originally developed for discrete time state space models can be directly employed to design the state derivative feedback law. Three computational examples are presented for illustration. The first example highlights the importance of accounting for the effect of sampling in the design procedure. More specifically, a linear quadratic regulation problem involving the state derivative is addressed. The second example involves the design of a robust predictive controller in the presence of input constraints and uncertain time delay. Finally, the third example is concerned with robust pole placement in the presence of parametric uncertainty. (AU)

FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants