Skill acquisition is a difficult, yet important problem in robot performance. The authors focus
on two skills, namely robotic assembly and balancing and on two classic tasks to develop …

Our civilization employs increasingly complex human-made systems, such as large-scale
electric power grids, air traffic control systems, manufacturing plants and supply chains, the …

This paper studies the compound learning control of disturbed uncertain strict-feedback
systems. The design is using the dynamic surface control equipped with a novel learning …

This paper investigates the dynamic surface control of nonlinear transport aircraft model
during the process of continuous heavy cargo airdrop in case of disturbance and actuator …

In this paper, sampled-data adaptive robust control is proposed for a class of uncertain
cascaded nonlinear system with states and inputs constraints. The systematic design …

In this paper, coherent formation control of a multi-agent system in the presence of time-
varying formation is studied. For special application of rescue and surveillance, a set of …

Several new controller design techniques for global stabilization of nonlinear systems have
recently been reported. Typically, these methodologies provide the designer with various …

In this article, we investigate the distributed cooperative optimization problem for
heterogeneous uncertain high-order nonlinear multi-agent systems with an intermittent …

Focuses on modeling and control of a light-weight and inexpensive pneumatic robot that can
be used for position tracking and for end-effector force control. Unlike many previous …

This paper investigates the online recorded data-based composite neural control of
uncertain strict-feedback systems using the backstepping framework. In each step of the …