Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Integrating fuzzy knowledge by genetic algorithms
IEEE Transactions on Evolutionary Computation
A framework for evolutionary optimization with approximate fitnessfunctions
IEEE Transactions on Evolutionary Computation
Learning convergence of CMAC technique
IEEE Transactions on Neural Networks
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Vibration control is a pivotal study subject for vehicle suspension system. In this paper, the physical model of semi-active quarter-coach suspension was established by the base of the theories of Buckingham's Pi theorem. According to the characteristics of the semi-active suspension of diesel-truck, a hybrid intelligent control algorithm-Fuzzy cerebellar model articulation control combined the Fuzzy logic control with cerebellar model articulation control techniques was presented and used to perform online control of semi-active suspension for the first time, novel weight-update laws were derived that guarantee the stability of closed-loop system, both information retrieval and learning rules were described by algebraic equations in matrix form. The results of experiment of closed -loop excited by three typical vibration signals showed that the control strategy proposed here can obviously reduce the value of mean square root of vertical acceleration for semi-active suspension system, compared with the traditional control strategy.