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
Introduction to Grey system theory
The Journal of Grey System
An introduction to fuzzy control
An introduction to fuzzy control
Self-organizing fuzzy control of active suspension systems
International Journal of Systems Science
Grey system theory-based models in time series prediction
Expert Systems with Applications: An International Journal
Optimisation criteria in development of fuzzy controllers with dynamics
Engineering Applications of Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability indices for a self-organizing fuzzy controlled robot: A case study
Engineering Applications of Artificial Intelligence
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Single-step ahead prediction based on the principle of concatenation using grey predictors
Expert Systems with Applications: An International Journal
Fuzzy enabled congestion control for Differentiated Services Networks
Applied Soft Computing
Chaos control of new Mathieu-van der Pol systems by fuzzy logic constant controllers
Applied Soft Computing
Grey-prediction self-organizing fuzzy controller for robotic motion control
Information Sciences: an International Journal
Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Paper: A linguistic self-organizing process controller
Automatica (Journal of IFAC)
Intelligent control of a constant turning force system with fixed metal removal rate
Applied Soft Computing
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Self-organizing fuzzy controllers (SOFCs) have excellent learning capabilities. They have been proposed for the manipulation of active suspension systems. However, it is difficult to select the parameters of an SOFC appropriately, and an SOFC may extensively modify its fuzzy rules during the control process when the parameters selected for it are inappropriate. To eliminate this problem, this study developed a grey-prediction self-organizing fuzzy controller (GPSOFC) for active suspension systems. The GPSOFC introduces a grey-prediction algorithm into an SOFC, in order to pre-correct its fuzzy rules for the control of active suspension systems. This design solves the problem of SOFCs with inappropriately chosen parameters. To evaluate the feasibility of the proposed method, this study applied the GPSOFC to the manipulation of an active hydraulic-servo suspension system, in order to determine its control performance. Experimental results demonstrated that the GPSOFC achieved better control performance than either the SOFC or the passive method of active suspension control.