Composite adaptation and learning techniques were initially proposed for improving
parameter convergence in adaptive control and have generated considerable research …

The flexibility of gait and trajectory planning with heavy payload are the main challenges for
legged stable walking of hexapod robots in unstructured terrain, especially in time-varying …

This article focuses on the singularity-free predefined time control design problem of the
quantized nonstrict feedback (NSF) nonlinear systems. Radial basis function neural …

Many important engineering applications involve control design for Euler–Lagrange (EL)
systems. In this article, the practical prescribed time tracking control problem of EL systems …

This article deals with an uncertain two-link rigid–flexible manipulator with vibration
amplitude constraint, intending to achieve its position control via motion planning and …

This article studies the nonsingular fixed-time control problem of multiple-input multiple-
output (MIMO) nonlinear systems with unmeasured states for the first time. A state observer …

This paper proposed a skill transmission technique for the mobile robot via learning by
demonstration. When the material is transported to the designated location, the robot can …

This article concentrates on the event-driven controller design problem for a class of
nonlinear single input single output parametric systems with full state constraints. A varying …

Most recent studies on adaptive hydraulic tracking control focus on the trajectory tracking
performance while the parameter convergence property is often unsatisfying. This article …

Gait coordination (GC), meaning that one leg moves in the same pattern but with a specific
phase lag to the other, is a spontaneous behavior in the walking of a healthy person. It is …