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Design of self-learning fuzzy sliding mode controllers based on genetic algorithms

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Publication:1278846
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DOI10.1016/0165-0114(95)00402-5zbMath0925.93512OpenAlexW2040724776MaRDI QIDQ1278846

Sinn-Cheng Lin, Yung-Yaw Chen

Publication date: 8 November 1999

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: http://ntur.lib.ntu.edu.tw//handle/246246/132884


Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)


Related Items

Placement optimization of actuator and sensor and decentralized adaptive fuzzy vibration control for large space intelligent truss structure, An intelligent fuzzy sliding mode control system with application on precision table positioning, Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems



Cites Work

  • A stability approach to fuzzy control design for nonlinear systems
  • Fuzzy logic in control systems: fuzzy logic controller. II
  • System identification and control using genetic algorithms
  • Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
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