ANTILOCK BRAKING SYSTEM USING FUZZY LOGICS AND NEURAL NETWORK
Jasvinder Kaur, Kulwinder Singh Rana
Abstract
Jasvinder Kaur, Kulwinder Singh Rana
Abstract
Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Many theories and design methods for antilock braking systems have been proposed several literatures for decades. Researchers have considered a lot of control strategies and methods of anti-lock braking systems, which have been demonstrated effective for ABS system.
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Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety and operation stability in vehicle. Many theories and design methods for antilock braking systems have been proposed several literatures for decades. Researchers have considered a lot of control strategies and methods of anti-lock braking systems, which have been demonstrated effective for ABS system.
Key concepts: Anti-lock braking system, Traction control system, Automotive engineering, Braking system, Electronic stability control, Computer science, Electronic brakeforce distribution, Control system