Optimization of decentralized multiple-model systems and TS fuzzy systems

Abstract

Optimization and control of systems is a challenge in the case of a large number of complex local systems. Decentralized methods like multi-agent control are expected to handle optimization tasks more efficiently than centralized approaches. One of the most interesting decentralized methods is the market-based optimization. Market-based algorithms imitate the behavior of economic systems in which virtual producer and consumer agents compete and cooperate. This method is applied to the optimization and synchronization of a set of local multiple-model systems and Takagi-Sugeno (TS) fuzzy subsystems. Implementing a ring structure between the local systems leads to the same results as for the unrestricted net structure.