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Research Article
 

Adaptive Stabilization of Networked Control Systems



A.H. Tahoun and Fang Hua-Jing
 
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ABSTRACT

The insertion of data network in the feedback adaptive control loops makes the analysis and design of Networked Control Systems (NCS) more complex than traditional control systems. This study addresses the adaptive stabilization problem of linear time-invariant networked control systems. The case of state feedback is treated in which only an upper bound on the norm of matrix A is needed. The problem is to find an upper bound on the transmission period h that guarantees the stability of the overall adaptive networked control system under an ideal transmission process, i.e., no transmission delay or packet dropout. Rigorous mathematical proofs are established, that relies heavily on Lyapunov's stability criterion. Simulation results are given to illustrate the efficacy of our design approach.

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  How to cite this article:

A.H. Tahoun and Fang Hua-Jing, 2007. Adaptive Stabilization of Networked Control Systems. Journal of Applied Sciences, 7: 3547-3551.

DOI: 10.3923/jas.2007.3547.3551

URL: https://scialert.net/abstract/?doi=jas.2007.3547.3551

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