H∞ and mixed H2/H∞ control of discrete-time T--S fuzzy systems with local nonlinear models
Fuzzy Sets and Systems
Robust H∞ fuzzy control of dithered chaotic systems
Neurocomputing
Information Sciences: an International Journal
Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques
Expert Systems with Applications: An International Journal
On-line learning of a fuzzy controller for a precise vehicle cruise control system
Expert Systems with Applications: An International Journal
Fuzzy SVM learning control system considering time properties of biped walking samples
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
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This paper proposed a high-speed railway control system based on the fuzzy control method. The fuzzy control system of the high-speed railway is designed in the Matlab software according to the expert experience and knowledge. At first the input and output variables have been fuzzified in the fuzzification process. Then the membership function is designed and the control rules are discussed in detail bring into correspondence with expert knowledge. The parameters discussion about the maximum speed and traction effort are studied in detail. Finally, the defuzzify process can output the results directly to control the high speed railway train. The results indicated that the fuzzy control system is effective and accurate in the high speed railway control process.