This paper introduces a tube-based model predictive control (MPC) for linear parameter-
varying (LPV) systems which exploits knowledge about bounds on the parameters' rate of …

Purpose The purpose of this study is to improve vehicles' brake stability, the problem of
constraint control for an antilock braking system (ABS) with asymmetric slip ratio constraints …

This paper is concerned with the problem of constraint control for an Antilock Braking
System (ABS) with time‐varying asymmetric slip ratio constraints. A quarter vehicle braking …

This paper is concerned with the problem of constraint control for an Antilock Braking
System (ABS) with asymmetric slip ratio constraints. A nonlinear backstepping control …

By means of the linear parameter-varying (LPV) Fundamental Lemma, we derive novel data-
driven predictive control (DPC) methods for LPV systems. In particular, we present output …

This paper proposes a new modus of fault estimation and isolation, which based on fault
estimation filter using iterative leaning scheme combine with robust observer for descriptor …

This paper proposes a steering and braking control strategy for stable path following at high
speed in a robust model predictive control (MPC) framework. In severe driving situations …

In the theory of systems and control, a system is often thought of as a “box” which takes a
control input and produces an output in response (Figure 1.1). This mapping between inputs …

Reference tracking and obstacle avoidance rank among the foremost challenging aspects of
autonomous driving. This paper proposes control designs for solving reference tracking …

This paper is concerned with the problem of a wheel slip ratio constraint control for the
Antilock Braking System (ABS) with external interferences and state constraints. A quarter …