Recently, multiple unmanned vehicles have attracted a great deal of attention as viable
solutions to a wide variety of civilian and military applications. Among many topics in the …

In practical applications of iterative learning control (ILC), the repetitive process may end up
early by accident during the performance improvement along the trial axis, which yields the …

In this note, we propose a novel adaptive fixed-time control scheme for output tracking
problems of a class of multi-input multi-output (MIMO) nonlinear systems with asymmetric …

This article proposes an effective iterative learning control (ILC) approach based on
successive projection scheme for repetitive systems with randomly varying trial lengths. A …

This paper presents adaptive neural tracking control of underactuated surface vessels with
modeling uncertainties and time-varying external disturbances, where the tracking errors …

This article is concerned with fixed-time leader-follower consensus problem for multiagent
systems (MASs) with output constraints, unknown control direction, unknown system …

In this article, we study the formation tracking control problem for a group of nonholonomic
mobile robots under communication constraints. We use a simple leader–follower formation …

Iterative learning control (ILC) is a high‐performance technique for repeated control tasks
with design postulates on a fixed reference profile and identical initial conditions. However …

The problem of finite-time stabilization for a class of high-order nonlinear systems (also
known as p-normal form systems) with an asymmetric output constraint is investigated in this …

This article studies the vision-based tracking control problem for a nonholonomic multirobot
formation system with uncertain dynamic models and visibility constraints. A fixed onboard …