With their unique point‐contact ability with the ground and exceptional adaptability to
complex terrains, quadruped robots have become a focal point in the fields of automation …

This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-
feedback nonlinear systems, which contain unknown smooth functions and unmeasured …

This article studies the problem of fixed-time stabilization for a class of nonlinear systems
with parameteric uncertainties, where the nonlinear functions are constrained by an …

An adaptive control scheme is developed in the paper for nonlinear stochastic systems with
unknown parameters. All the states in the systems are required to be constrained in a …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

This study designs a fuzzy double hidden layer recurrent neural network (FDHLRNN)
controller for a class of nonlinear systems using a terminal sliding-mode control (TSMC). The …

The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …

The problem of asymptotic tracking control for a class of uncertain switched nonlinear
systems under fuzzy approximation framework is solved in this paper. Superior to most …

This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …

This paper addresses the finite-time tracking issue for nonlinear quantized systems with
unmeasurable states. Compared with the existing researches, the finite-time quantized …