This article studies the adaptive control about the geodetic fixed positions and heading of
three-degree-of-freedom dual-propeller vessel. During the navigation of a vessel at sea, due …

This paper addresses the problem of robust trajectory tracking for uncertain robot
manipulators within a priori fixed-time. A new sliding surface is first proposed and a robust …

This article proposes an adaptive neural network (NN) control method for an-link
constrained robotic manipulator. Driven by actual demands, manipulator and actuator …

In this article, the adaptive neural backstep** control approaches are designed for
uncertain stochastic nonlinear systems with full-state constraints. According to the symmetry …

In this paper, an adaptive neural network (NN) control scheme is developed for a class of
stochastic nonlinear systems with time-varying full state constraints. In the controller design …

The problem of designing an analytical gain tuning and stable PID controller for nonlinear
robotic systems is a long-lasting open challenge. This problem becomes even more intricate …

In this paper, an adaptive fuzzy control problem is studied for a connected automated
vehicles platoon subject to unknown dead-zone input and constraints. To better handle the …

This paper proposes an improved optimal integral sliding mode control (IOISMC) for a robust
and optimal tracking control of robotic manipulators under the presence of coupling effects …

The inequality constraints, system nonlinearities, parameter uncertainties, and external
disturbances are always unavoidable in practical mechanical systems. This article proposes …

This brief is concerned with iterative learning control (ILC) of constrained multi-input multi-
output (MIMO) nonlinear systems under the state alignment condition with varying trial …