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Design of the fuzzy multiobjective controller based on the eligibility method

✍ Scribed by Hwan-Chun Myung; Z. Zenn Bien

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
319 KB
Volume
18
Category
Article
ISSN
0884-8173

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✦ Synopsis

A multiobjective control problem has been handled in many different ways such as fuzzy, neural network and reinforcement learning, etc. Among them, a reinforcement learning method solves a multiobjective control problem without any prior knowledge. In this article, a new reinforcement learning method for a multiobjective control problem is proposed in consideration of its convergence. The proposed method, in which objective eligibility is considered for handling multirewards, reformulates a multiobjective control problem in a form of a reinforcement learning problem under non-Markov environment. Using a similar relation to eligibility, the proposed method dealt with the previous research results of eligibility and was implemented with the concept of a decoupled fuzzy sliding mode control (DFSMC).

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