The selection of an appropriate control strategy is essential for ensuring safe operation in
autonomous driving. While numerous control strategies have been developed for specific …

Autonomous driving has the potential to revolutionize mobility and transportation by
reducing road accidents, alleviating traffic congestion, and mitigating air pollution. This …

This paper presents a new approach to Fault-Tolerant Control (FTC), addressing the
complexities inherent in vehicle dynamics and steering actuator faults. By combining the …

Motion planning is a process of constant negotiation with the rest of the traffic agents and is
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …

Abstract Active Queue Management (AQM) for mitigating Internet congestion has been
addressed via various feedback control syntheses, especially P, PI, and PID regulators, by …

This study proposes a type of Sliding Mode-based Proportional, Integral, and Derivative
(SMPID) controllers to establish a model-free (treat dynamic plants as a whole uncertainty) …

This work presents the design and application of the Model-free controller with algebraic
estimator and ultra-local model on the common-rail high-pressure in a Direct Injection Fuel …

The paper presents a novel control strategy for autonomous vehicles, which can effectively
handle the nonlinear effects and uncertainties of the controlled system. This solution is …

Featured Application Path planning, navigation, and lateral control for autonomous vehicles.
Development of control algorithm for truck platooning. Abstract This study introduces an …

This paper presents the application of an ultra-local model-free controller to control the high
pressure in a direct injection fuel system, which has high nonlinearities and is subjected to …