In this paper, a multiple surface sliding controller is designed for an anti-lock braking system
to maintain the slip ratio at a desired level. Various types of uncertainties coming from …

This paper presents a new control method for nonlinear discrete-time systems, described by
an input-output model which is based on a combination of quasi-sliding mode and neural …

The aim of this work is to propose a new type of anti-lock braking system (ABS) using a
magneto-rheological (MR) brake and validate its effectiveness by implementing a fuzzy logic …

Regenerative braking system is an powerful system to minimize vehicle emission and fuel
consumption. Regenerative braking system is that system in which mechanical energy is …

A sliding mode based extremum seeking algorithm is applied to the ABS control problem
where the optimum slip ratio is searched online for maximum braking force in unknown road …

An extremum seeking scheme is developed for maximizing the longitudinal tire forces of the
road vehicles during emergency braking situations. If the road condition is known, then a …

A self optimizing control algorithm is applied to the ABS control problem where the algorithm
accomplishes to maximize friction potential of the tires during braking in unknown road …

Many accidents are caused when a vehicle is braked hard, causing the wheels to lock up. At
such times, the driver has no control over the steering of the vehicle and as a result cannot …

This paper deals with Predictive Sliding Mode Control (PSMC) that uses Laguerre functions
in the design of a control input signal. Two types of PSMC algorithms are considered: one …

This paper presents the combination of generalized predictive and sliding mode control
techniques in order to improve the system robustness to parameter variation. The proposed …