An intelligent control system based on multiobjective genetic algorithms and fuzzy neural network

Liang-Hsuan Chen, Cheng Hsiung Chiang

研究成果: Conference article同行評審

3 引文 斯高帕斯(Scopus)

摘要

A novel approach to intelligent control systems is proposed. It has three main functions: the fuzzy neural network controller, the performance evaluator, and the decision maker, which is to explore new actions to enhance control performance. The multiobjective genetic algorithm is presented to implement the adaptive mechanism to explore the new actions. The simulation results of robotic path planning showed the robot could reach the target point without collisions in various environments.

原文English
頁(從 - 到)262-267
頁數6
期刊Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
3
出版狀態Published - 2002 十二月 1
事件2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
持續時間: 2002 十月 62002 十月 9

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 硬體和架構

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