The increasing requirements for vehicle driving safety improvement have led to numerous
and in-depth studies on vehicle stability, especially for autonomous vehicles. The main …

This paper proposes a novel game-theoretic model for peer-to-peer (P2P) energy trading
among the prosumers in a community. The buyers can adjust the energy consumption …

This article proposes a hybrid intelligent-classic control approach for reconstruction and
compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

A new framework is developed for control of constrained nonlinear systems with structured
parametric uncertainty. Forward invariance of a safe set is achieved through online …

This paper presents an adaptive robust controller for robot manipulators using adaptive
integral sliding mode control and time-delay estimation (TDE). The proposed controller …

In this paper, an output feedback finite-time control method is investigated for stabilizing the
perturbed vehicle active suspension system to improve the suspension performance. Since …

The improvement of energy performance for platoons of autonomous connected vehicles is
one of the major challenges the road transport sector is facing with. To this aim, this work …

In this article, we consider the distributed fault-tolerant resilient consensus problem for
heterogeneous multiagent systems (MASs) under both physical failures and network denial …

This paper presents a new adaptive fuzzy control scheme for active suspension systems
subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based …