Neuro-Fuzzy Controller Design of the Anti-Lock Braking System.
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[1] Yann Chamaillard,et al. Fuzzy Logic Continuous and Quantizing Control of an ABS Braking System , 1994 .
[2] Lee A. Feldkamp,et al. Neural network control of a four-wheel ABS model , 1994, Proceedings of 1994 37th Midwest Symposium on Circuits and Systems.
[3] Paul Oppenheimer,et al. Comparing Stopping Capabiity of Cars with and without Antilock Braking Systems (ABS) , 1988 .
[4] Hans B. Pacejka,et al. A New Tire Model with an Application in Vehicle Dynamics Studies , 1989 .
[5] Stephen Yurkovich,et al. Fuzzy learning control for antiskid braking systems , 1993, IEEE Trans. Control. Syst. Technol..
[6] A. Sideris,et al. A multilayered neural network controller , 1988, IEEE Control Systems Magazine.
[7] Noboru Noguchi,et al. A New Algorithm for ABS to Compensate for Road-Disturbance , 1990 .
[8] M. Tomizuka,et al. Discrete-time controller design for robust vehicle traction , 1990, IEEE Control Systems Magazine.
[9] L Segel,et al. An Analysis of Tire Traction Properties and Their Influence on Vehicle Dynamic Performance , 1970 .
[10] Chin-Teng Lin,et al. Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.
[11] J. S. Bedi,et al. Fuzzy-neural-sliding mode controller and its applications to the vehicle anti-lock braking systems , 1995, Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications.
[12] Lauren L. Bowler,et al. Road Testing of Wheel Slip Control Systems in the Laboratory , 1969 .