Abstract
Considering NCS (networked control systems) with the single-mode Markov chain and external disturbances, the nonlinear discrete-time NCS models are proposed by applying CMAC (Cerebellum Model Articulation Controller) neural network. These models can describe the phenomena of stochastic but bounded delays, packets dropout, and disorder. Moreover, the robustly asymptotic stability conditions and the controller designs of NCS are investigated.
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References
Nillsson, J.: Real-time Control Systems with Delays. PhD thesis, Lund Institute of Technology, Sweden (1998)
Xiao, L., Hassibi, A., How, J.P.: Control with Random Communication Delays via a Discrete-time Jump System Approach. In: Proceedings of the ACC, pp. 2199–2204 (2000)
Walsh, G., Ye, H., Bushnell, L.: Stability Analysis of Networked Control Systems. IEEE Transactions Control Systems Technology 10(3), 438–446 (2002)
Li, J.: Research on Modeling, Stability Analysis and Control Methods of Networked Control Systems. PhD thesis, Naval Aeronautical Engineering Institute, China (2008)
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Li, J., Zuo, B. (2012). Modeling and Stability Analysis of NCS with Markov Delay and Dropout. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25778-0_43
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DOI: https://doi.org/10.1007/978-3-642-25778-0_43
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