Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview
Contraction theory is an analytical tool to study differential dynamics of a non-autonomous
(ie, time-varying) nonlinear system under a contraction metric defined with a uniformly …
(ie, time-varying) nonlinear system under a contraction metric defined with a uniformly …
Prescribed-time output-feedback control of stochastic nonlinear systems
We present prescribed-time output-feedback-stabilizing designs for stochastic nonlinear
strict-feedback systems. We first propose a new nonscaling output-feedback control scheme …
strict-feedback systems. We first propose a new nonscaling output-feedback control scheme …
Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers
H Liang, X Guo, Y Pan, T Huang - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article studies the distributed observer-based event-triggered bipartite tracking control
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
Review and new theoretical perspectives on active disturbance rejection control for uncertain finite-dimensional and infinite-dimensional systems
The active disturbance rejection control (AD RC), first proposed by **gqing Han in late
1980s, is a powerful control technology being able to deal with external disturbances and …
1980s, is a powerful control technology being able to deal with external disturbances and …
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 …
Event-triggered adaptive neural fault-tolerant control of underactuated MSVs with input saturation
This paper investigates the tracking control problem of marine surface vessels (MSVs) in the
presence of uncertain dynamics and external disturbances. The facts that actuators are …
presence of uncertain dynamics and external disturbances. The facts that actuators are …
Stochastic nonlinear prescribed-time stabilization and inverse optimality
We solve the prescribed-time mean-square stabilization and inverse optimality control
problems for stochastic strict-feedback nonlinear systems by develo** a new nonscaling …
problems for stochastic strict-feedback nonlinear systems by develo** a new nonscaling …
Adaptive fixed-time stabilization for a class of uncertain nonlinear systems
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 …
with parameteric uncertainties, where the nonlinear functions are constrained by an …
Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation
This article studies a tracking control problem for a class of stochastic nonlinear systems with
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …
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 …