Abstract
The end-to-end time-delay induced by the network is one of the main issues in Networked Control Systems (NCS). In order to compensate the delay more effectively, this paper presents a novel approach to predict it on line using the T-S fuzzy method. The basic idea of this method is to assume that the system dynamics can be described by a set of rules rather than a single one, and the final output is given by a combination of the estimates according to all these fuzzy rules. GK fuzzy clustering will be used in the process of building the T-S fuzzy model and generating the predicted values. By numerical simulations, it is proved that the T-S fuzzy method can predict and compensate the time delay effectively.
This paper was supported in part by National Natural Science Foundation (79970114).
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Wang, X., Zhang, Y. (2011). A New Time-Delay Compensation Method in NCS Based on T-S Fuzzy Model. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_74
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DOI: https://doi.org/10.1007/978-3-642-23235-0_74
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