This study proposes a novel control scheme for simultaneously tracking and stabilizing
nonholonomic wheeled mobile robots (NWMRs) subject to actuator and sensor faults …

This paper studies the synchronization and control of chaotic systems while proposing a
novel chaotic-based path-tracking application for mobile robots (MRs) to ensure their safety …

Within the context of Nonlinear Model Predictive Control (NMPC) design for autonomous
mobile robots, which face challenges such as parametric uncertainty and measurement …

This paper presents a solution for the tracking control problem, for an unmanned ground
vehicle (UGV), under the presence of skid-slip and external disturbances in an environment …

Model predictive control is a widely used optimal control method for robot path planning and
obstacle avoidance. This control method, however, requires a system model to optimize …

This paper studies the synchronization and control of chaotic systems, and a new chaotic-
based path is designed for Mobile robots (MRs). The chaotic systems are used to design an …

In this study, a finite‐time online optimal controller was designed for a nonlinear wheeled
mobile robotic system (WMRS) with inequality constraints, based on reinforcement learning …

Motion planning and controller design are challenging tasks for highly coupled and
nonlinear dynamical systems such as autonomous vehicles and robotic applications …

Robustness analysis of adaptive control systems, when operating in a certain domain, has
been a gulf during the past decades. This problem is more complicated in the case of non …

This brief presents a completed control structure, including formation control and adaptive
reinforcement learning (ARL) algorithm for a multi-agent system of multiple surface vessels …