System identification: theory for the user
System identification: theory for the user
Fuzzy self-organizing controller and its application for dynamic processes
Fuzzy Sets and Systems - Fuzzy Control
An introduction to fuzzy control
An introduction to fuzzy control
Stability analysis and stabilization of fuzzy state space models
Fuzzy Sets and Systems - Special issue on fuzzy control
Stability analysis of fuzzy control systems using facet functions
Fuzzy Sets and Systems - Special issue on modern fuzzy control
Digital control system analysis and design (3rd ed.)
Digital control system analysis and design (3rd ed.)
On improvement of stability conditions for continuous Mamdani-like fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Theoretical and linguistic aspects of the fuzzy logic controller
Automatica (Journal of IFAC)
Paper: A linguistic self-organizing process controller
Automatica (Journal of IFAC)
Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions
IEEE Transactions on Fuzzy Systems
International Journal of Intelligent Systems Technologies and Applications
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Grey-prediction self-organizing fuzzy controller for robotic motion control
Information Sciences: an International Journal
Intelligent control of a constant turning force system with fixed metal removal rate
Applied Soft Computing
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Applied Soft Computing
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This study developed a model-free self-organizing fuzzy controller (SOFC) for manipulating multiple-input multiple-output systems. The SOFC has an online learning algorithm that can continually update fuzzy rules during the control process, beginning from an empty rule table. The SOFC was used to control a three-link robot with a complex dynamic model in order to evaluate its applicability. Stability and robustness of the SOFC were demonstrated using a state-space approach. Simulation results confirmed that the control performance of the SOFC outperforms that of the fuzzy logic controller for the control of the robot.