Trajectory stabilization of a model car via fuzzy control
作者： Kazuo Tanaka , Manabu Sano
DOI: 10.1016/0165-0114(94)00214-R
关键词: Fuzzy logic 、 Adaptive neuro fuzzy inference system 、 Defuzzification 、 Lyapunov function 、 Control theory 、 Trajectory 、 Control system 、 Fuzzy control system 、 Fuzzy number 、 Mathematics
摘要: Abstract This paper deals with trajectory stabilization of a computer simulated model car via fuzzy control. Stability conditions systems are given in accordance the definition stability sense Lyapunov. First, we approximate car, whose dynamics is nonlinear, by T-S (Takagi and Sugeno) model. Fuzzy control rules, which guarantee system under condition, derived from approximated The simulation results show that rules effectively realize along reference all initial positions condition agrees well car.
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Michio Sugeno, Industrial Applications of Fuzzy Control ,(1985)
C. von Altrock, B. Krause, H.-J. Zimmermann, Advanced fuzzy logic control technologies in automotive applications ieee international conference on fuzzy systems. pp. 835- 842 ,(1992) , 10.1109/FUZZY.1992.258767
Kazuo Tanaka, Michio Sugeno, Stability analysis and design of fuzzy control systems Fuzzy Sets and Systems. ,vol. 45, pp. 135- 156 ,(1992) , 10.1016/0165-0114(92)90113-I
M Sugeno, T Murofushi, T Mori, T Tatematsu, J Tanaka, Fuzzy algorithmic control of a model car by oral instructions Fuzzy Sets and Systems. ,vol. 32, pp. 207- 219 ,(1989) , 10.1016/0165-0114(89)90255-8
M. Sugeno, M. Nishida, Fuzzy control of model car Fuzzy Sets and Systems. ,vol. 16, pp. 103- 113 ,(1985) , 10.1016/S0165-0114(85)80011-7
Tomohiro Takagi, Michio Sugeno, Fuzzy identification of systems and its applications to modeling and control systems man and cybernetics. ,vol. 15, pp. 116- 132 ,(1985) , 10.1109/TSMC.1985.6313399
Kazuo Tanaka, Manabu Sano, Fuzzy stability criterion of a class of nonlinear systems Information Sciences. ,vol. 71, pp. 3- 26 ,(1993) , 10.1016/0020-0255(93)90063-R
Mikio MAEDA, Yasushi MAEDA, Shuta MURAKAMI, Fuzzy Drive Control of an Intelligent Robot Journal of the Society of Instrument and Control Engineers. ,vol. 28, pp. 1231- 1240 ,(1992) , 10.9746/SICETR1965.28.1231
Kazuo Tanaka, Manabu Sano, Simplified Design Method of Fuzzy Servo Systems for Nonlinear Plants. Transactions of the Japan Society of Mechanical Engineers. C. ,vol. 59, pp. 131- 137 ,(1993) , 10.1299/KIKAIC.59.131
C. V. Negoita, On Fuzzy Systems Current Topics in Cybernetics and Systems. pp. 372- 373 ,(1978) , 10.1007/978-3-642-93104-8_234