This paper proposes an approach to fuzzy modeling of Anti-lock Braking Systems (ABSs). The local state-space models are derived by the linearization of the nonlinear ABS process model at ten operating points. The Takagi-Sugeno (T-S) fuzzy models are obtained by the modal equivalence principle, where the local state-space models are the rule consequents. The optimization problems are defined in ...

Anti-lock braking system (ABS) is considered an essential safety in electric vehicles that works to grant a reliable vehicle driving experience, and it very important ensure the security of such onboard system. This work presents detailed analysis associated with comparison includes several techniques based on pattern recognition for biasing fault detection wheel speed sensors. These are K-near...

In road vehicles, wheel locking can be prevented by means of closedloop Anti-lock Braking Systems (ABS). Two output measured variables are usually considered for regulation: wheeldeceleration and wheel longitudinal slip. The traditional controlled variable used in ABS is the wheel deceleration, since it can be easily measured with a simple wheel encoder; however, it can be dynamically critical ...

Antilock braking system (ABS) stops a vehicle wheel without locking while decreasing the stopping distance. Here we use fuzzy logic to detect the road conditions. Vehicle dynamics and braking systems is complex and proposed controller in different road detected states. They behave strongly non-linear which causes difficulties in developing a classical controller for ABS. Fuzzy logic, however fa...

Concurrent designs can be automatically verified by transforming them into an automata-based representation and by model checking the resulting model. However, when transforming a concurrent design into an automata-based representation, each method has to be translated into a single automaton. This produces a significant overhead for model checking. In this paper, we present an optimization of ...

A vehicle with a four-channel anti-lock braking system (ABS) has poor safety and stability when on low-adhesion road or off-road. In view of this situation, paper proposes multi-objective optimization coordinated control method for ABS AFS based multi-agent model predictive (MPC). Firstly, the single-wheel is adopted to establish equation slip rate centroid yaw AFS. The four wheels are regarded...

Removing a clamp force sensor from brake-by-wire (BBW) system designs has been driven by the need to reduce costs and design complexities. In this paper an improved method is presented to estimate clamp force using other sensory information. The proposed estimator is based on the Kalman filter where the actuator resolver is used in a dynamic stiffness model and the actuator current sensors as w...

This paper presents the formulation of a slipcontrol model for purposes of performing slip tracking of target slip. Antilock braking system modelling is performed to develop a quarter car vehicle deceleration model for braking without cornering. Input-state based feedback linearisation is applied to the highly non-linear developed antilock braking system model. Input-state feedback linearisatio...