Model‐based vs data‐driven adaptive control: an overview

M Benosman - International Journal of Adaptive Control and …, 2018 - Wiley Online Library
In this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

A novel bipartite consensus tracking control for multiagent systems under sensor deception attacks

X Wang, Y Cao, B Niu, Y Song - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a novel adaptive bipartite consensus tracking strategy for multiagent
systems (MASs) under sensor deception attacks. The fundamental design philosophy is to …

Finite-time adaptive fuzzy tracking control design for nonlinear systems

F Wang, B Chen, X Liu, C Lin - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems.
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …

Distributed maneuvering of autonomous surface vehicles based on neurodynamic optimization and fuzzy approximation

Z Peng, J Wang, D Wang - IEEE Transactions on Control …, 2017 - ieeexplore.ieee.org
This brief is concerned with the distributed maneuvering of multiple autonomous surface
vehicles guided by a virtual leader moving along a parameterized path. In the guidance …

A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems

CP Bechlioulis, GA Rovithakis - Automatica, 2014 - Elsevier
A universal, approximation-free state feedback control scheme is designed for unknown
pure feedback systems, capable of guaranteeing, for any initial system condition, output …

Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback

Z Peng, J Wang, D Wang - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
In this paper, a neurodynamics-based output feedback scheme is proposed for distributed
containment maneuvering of marine vessels guided by multiple parameterized paths without …

Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems

D Ba, YX Li, S Tong - Neurocomputing, 2019 - Elsevier
This paper addresses the fixed-time adaptive neural control of nonstrict feedback nonlinear
system. With the help of neural networks and the backstepping technical, a fixed-time …

Switching event-triggered adaptive resilient dynamic surface control for stochastic nonlinear CPSs with unknown deception attacks

B Niu, W Chen, W Su, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work concentrates on the adaptive resilient dynamic surface controller design problem
for uncertain nonlinear lower triangular stochastic cyber–physical systems (CPSs) subject to …

Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems

CLP Chen, YJ Liu, GX Wen - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
This paper studies an adaptive tracking control for a class of nonlinear stochastic systems
with unknown functions. The considered systems are in the nonaffine pure-feedback form …

Small-gain technique-based adaptive output constrained control design of switched networked nonlinear systems via event-triggered communications

Z Cao, B Niu, G Zong, N Xu - Nonlinear Analysis: Hybrid Systems, 2023 - Elsevier
This paper investigates the problem of event-triggered tracking control for switched
networked nonlinear systems with asymmetric time-varying output constraints. To handle the …