Abstract
This paper discusses the problems of control design and stability analysis of the networked control systems(NCSs) with random delays. The network-induced delays of the NCS are considered as interval variables governed by a Markov chain. Using the upper and lower bounds of the delays, a discrete-time Markovian jump system with norm-bounded uncertainties is presented to model the NCS. Based on this model, a state feedback controller can be constructed via a set of linear matrix inequalities. Simulations are given to illustrate the proposed results.
The work was supported by the National Key Project for Basic Research of China (Grant No: G2002cb312205), the National Science Foundation for Key Technical Research of China (Grant No: 90205008, 60334020), the National Science Foundation of China (Grant No: 60174018 and 60084002), China Postdoctoral Science Foundation (Grant No: 2003034150), and the National Excellent Doctoral Dissertation Foundation (Grant No: 200041). Corresponding author: Yan Wang, E-Mail: w-yan@mail.tsinghua.edu.cn
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Wang, Y., Sun, Z.Q., Sun, F.C. (2005). Modeling and Control of Networked Control Systems with Random Delays. In: Morari, M., Thiele, L. (eds) Hybrid Systems: Computation and Control. HSCC 2005. Lecture Notes in Computer Science, vol 3414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31954-2_42
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DOI: https://doi.org/10.1007/978-3-540-31954-2_42
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