| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Tecnol Fed Parana, UTFPR, BR-86300000 Cornelio Procopio, PR - Brazil
[2] BCAM, E-48009 Bilbao, Vizcaya - Spain
[3] Univ Brasilia, UnB, FT, BR-70910900 Brasilia, DF - Brazil
[4] Univ Estadual Campinas, UNICAMP, FEEC DT, BR-13083852 Campinas, SP - Brazil
Total Affiliations: 4
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| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL; v. 24, n. 17, p. 2943-2957, NOV 25 2014. |
| Web of Science Citations: | 0 |
| Abstract | |
The paper deals with the control problem of discrete-time nonlinear systems. The main contribution of this note is to present conditions that assure the existence of stationary policies that generate lower bounds for the minimal long-run average cost. These lower bounds coincide with the optimal solution when a mild convergence assumption holds. To illustrate the results, the paper presents an application for the simultaneous state-feedback control problem, and the derived strategy is used to design a real-time simultaneous control for two direct current motor devices. The dynamics of these two devices are written in terms of a nonlinear algebraic matrix recurrence, which in turn represents a particular case for our general nonlinear approach. The optimal gain for the corresponding simultaneous state-feedback problem is obtained, and such a gain was implemented in a laboratory testbed to control simultaneously the two direct current motors. Copyright (c) 2013 John Wiley \& Sons, Ltd. (AU) | |
| FAPESP's process: | 03/06736-7 - Control and filtering of Markovian jumping parameters stochastic systems |
| Grantee: | João Bosco Ribeiro do Val |
| Support Opportunities: | Research Projects - Thematic Grants |