Integral barrier Lyapunov function-based adaptive control for switched nonlinear systems
This paper presents an adaptive control method for a class of uncertain strict-feedback
switched nonlinear systems. First, we consider the constraint characteristics in the switched …
switched nonlinear systems. First, we consider the constraint characteristics in the switched …
Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
H Li, S Zhao, W He, R Lu - Automatica, 2019 - Elsevier
This paper investigates the problem of adaptive finite-time tracking control for strict-feedback
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems
This paper concentrates upon the problem of finite-time fault-tolerant control for a class of
switched nonlinear systems in lower-triangular form under arbitrary switching signals. Both …
switched nonlinear systems in lower-triangular form under arbitrary switching signals. Both …
Admittance-based controller design for physical human–robot interaction in the constrained task space
In this article, an admittance-based controller for physical human-robot interaction (pHRI) is
presented to perform the coordinated operation in the constrained task space. An …
presented to perform the coordinated operation in the constrained task space. An …
Practical prescribed time tracking control over infinite time interval involving mismatched uncertainties and non-vanishing disturbances
Y Cao, J Cao, Y Song - Automatica, 2022 - Elsevier
Most existing prescribed time control methods are valid for finite time intervals rather than
infinite time intervals, and can only achieve regulation under vanishing or no uncertainties …
infinite time intervals, and can only achieve regulation under vanishing or no uncertainties …
Adaptive tracking control for output-constrained switched MIMO pure-feedback nonlinear systems with input saturation
In this paper, an adaptive neural tracking control scheme for a class of uncertain switched
multi-input multi-output (MIMO) pure-feedback nonlinear systems is proposed. The …
multi-input multi-output (MIMO) pure-feedback nonlinear systems is proposed. The …
Adaptive finite-time stabilization of stochastic nonlinear systems subject to full-state constraints and input saturation
In this article, the adaptive finite-time tracking control is studied for state constrained
stochastic nonlinear systems with parametric uncertainties and input saturation. To this end …
stochastic nonlinear systems with parametric uncertainties and input saturation. To this end …
Neural networks-based adaptive control for nonlinear state constrained systems with input delay
This paper addresses the problem of adaptive tracking control for a class of strict-feedback
nonlinear state constrained systems with input delay. To alleviate the major challenges …
nonlinear state constrained systems with input delay. To alleviate the major challenges …
Adaptive fuzzy control with high-order barrier Lyapunov functions for high-order uncertain nonlinear systems with full-state constraints
W Sun, SF Su, Y Wu, J **a… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper focuses on the practical output tracking control for a category of high-order
uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier …
uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier …
Adaptive fuzzy event-triggered control for stochastic nonlinear systems with full state constraints and actuator faults
H Ma, H Li, H Liang, G Dong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy output feedback control problem is investigated for a class of
stochastic nonlinear systems in which the fuzzy logic systems are adopted to approximate …
stochastic nonlinear systems in which the fuzzy logic systems are adopted to approximate …