A historical perspective of adaptive control and learning

AM Annaswamy, AL Fradkov - Annual Reviews in Control, 2021 - Elsevier
This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

A comprehensive review for industrial applicability of artificial neural networks

MRG Meireles, PEM Almeida… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
This paper presents a comprehensive review of the industrial applications of artificial neural
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …

[图书][B] Cooperative control of multi-agent systems: optimal and adaptive design approaches

FL Lewis, H Zhang, K Hengster-Movric, A Das - 2013 - books.google.com
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control
design methods to multi-agent systems on communication graphs. It develops Riccati design …

Adaptive neural control for robotic manipulators with output constraints and uncertainties

S Zhang, Y Dong, Y Ouyang, Z Yin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …

Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics

H Zhang, FL Lewis - Automatica, 2012 - Elsevier
A practical design method is developed for cooperative tracking control of higher-order
nonlinear systems with a dynamic leader. The communication network is a weighted …

Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function

B Ren, SS Ge, KP Tee, TH Lee - IEEE Transactions on Neural …, 2010 - ieeexplore.ieee.org
In this brief, adaptive neural control is presented for a class of output feedback nonlinear
systems in the presence of unknown functions. The unknown functions are handled via on …

Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance

CP Bechlioulis, GA Rovithakis - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
A novel robust adaptive controller for multi-input multi-output (MIMO) feedback linearizable
nonlinear systems possessing unknown nonlinearities, capable of guaranteeing a …

Adaptive RISE control of hydraulic systems with multilayer neural-networks

Z Yao, J Yao, W Sun - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
This paper focuses on developing an advanced nonlinear controller for hydraulic system to
achieve asymptotic tracking with various disturbances. To accomplish this study, a multilayer …

Adaptive dynamic surface control for formations of autonomous surface vehicles with uncertain dynamics

Z Peng, D Wang, Z Chen, X Hu… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
In this brief, we consider the formation control problem of underactuated autonomous
surface vehicles (ASVs) moving in a leader-follower formation, in the presence of …

Distributed adaptive control for synchronization of unknown nonlinear networked systems

A Das, FL Lewis - Automatica, 2010 - Elsevier
This paper is concerned with synchronization of distributed node dynamics to a prescribed
target or control node dynamics. A design method is presented for adaptive synchronization …