An Interpretable Fuzzy System Learned Through Online Rule Generation and Multiobjective ACO With a Mobile Robot Control Application

• Published in: IEEE transactions on cybernetics Vol. 46; no. 12; pp. 2706 - 2718
• Main Authors: Juang, Chia-Feng, Jeng, Tian-Lu, Chang, Yu-Cheng
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithm design and analysis; Algorithms; Ant colony optimization; Ant-colony optimization (ACO); Clustering; Clustering algorithms; Constraints; Design optimization; Frequency selective surfaces; fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; interpretable fuzzy systems; Linear programming; multiobjective optimization; Multiple objective analysis; On-line systems; Optimization; Parameters; Robot control; robot wall-following control; Robots

This paper proposes a new multiobjective optimization approach to designing a fuzzy logic system (FLS) using process data and applies it to the wall-following control of a mobile robot. The objectives considered include both the interpretability and control performance of the FLS. It is assumed that...