In this paper we present a technique to stabilize discrete-time linear systems with bounded inputs. Based on optimal control techniques, we construct a continuous bounded state feedback which leads to global asymptotic stabilization for the case where the open-loop system has all its eigenvalues wit
Global stabilization of linear discrete-time systems with bounded feedback
β Scribed by Yudi Yang; Eduardo D. Sontag; Hector J. Sussmann
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 649 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0167-6911
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β¦ Synopsis
This paper deals with the problem of global stabilization of linear discrete time systems by means of bounded feedback laws. The main result proved is an analog of one proved for the continuous time case by the authors, and shows that such stabilization is possible if and only if the system is stabilizable with arbitrary controls and the transition matrix has spectral radius less than or equal to one. The proof provides in principle an algorithm for the construction of such feedback laws, which can be implemented either as cascades or as parallel connections ("single hidden layer neural networks") of simple saturation functions. @ 1997 Elsevier Science B.V.
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