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Appl. Sci. 2015, 5(4), 1235-1251; doi:10.3390/app5041235

Agent Based Fuzzy T-S Multi-Model System and Its Applications

School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Academic Editor: Chien-Hung Liu
Received: 19 August 2015 / Revised: 4 November 2015 / Accepted: 5 November 2015 / Published: 16 November 2015
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Based on the basic concepts of agent and fuzzy T-S model, an agent based fuzzy T-S multi-model (ABFT-SMM) system is proposed in this paper. Different from the traditional method, the parameters and the membership value of the agent can be adjusted along with the process. In this system, each agent can be described as a dynamic equation, which can be seen as the local part of the multi-model, and it can execute the task alone or collaborate with other agents to accomplish a fixed goal. It is proved in this paper that the agent based fuzzy T-S multi-model system can approximate any linear or nonlinear system at arbitrary accuracy. The applications to the benchmark problem of chaotic time series prediction, water heater system and waste heat utilizing process illustrate the viability and the efficiency of the mentioned approach. At the same time, the method can be easily used to a number of engineering fields, including identification, nonlinear control, fault diagnostics and performance analysis. View Full-Text
Keywords: agent; fuzzy logic; multi-model system; nonlinear modeling; approximation characteristic; application agent; fuzzy logic; multi-model system; nonlinear modeling; approximation characteristic; application

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhao, X. Agent Based Fuzzy T-S Multi-Model System and Its Applications. Appl. Sci. 2015, 5, 1235-1251.

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