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 …

Adaptive motion control of rigid robots: A tutorial

R Ortega, MW Spong - Automatica, 1989 - Elsevier
In this paper we give a tutorial account of several of the most recent adaptive control results
for rigid robot manipulators. Our intent is to lend some perspective to the growing list of …

[图书][B] Adaptive control: stability, convergence and robustness

S Sastry, M Bodson - 2011 - books.google.com
With a focus on linear, continuous time, single-input, single-output systems, this volume
surveys the major results and techniques of analysis in the field of adaptive control. The …

Adaptive control

KJ Åström - Mathematical System Theory: The Influence of RE …, 1995 - Springer
This paper gives an overview of some ideas in adaptive control that originate from a paper
published by Kalman in 1958. The key ideas are given using quotes from Kalman's paper. It …

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems

Z Hou, S Jin - IEEE transactions on neural networks, 2011 - ieeexplore.ieee.org
In this paper, a data-driven model-free adaptive control (MFAC) approach is proposed
based on a new dynamic linearization technique (DLT) with a novel concept called pseudo …

A survey of models, analysis tools and compensation methods for the control of machines with friction

B Armstrong-Hélouvry, P Dupont, CC De Wit - Automatica, 1994 - Elsevier
While considerable progress has been made in friction compensation, this is, apparently, the
first survey on the topic. In particular, it is the first to bring to the attention of the controls …

[图书][B] Evolutionary computation: the fossil record

DB Fogel - 1998 - books.google.com
Featuring copious introductory material by distinguished scientist Dr. David B. Fogel, this
formidable collection of 30 landmark papers spans the entire history of evolutionary …

A novel data-driven control approach for a class of discrete-time nonlinear systems

Z Hou, S Jin - IEEE Transactions on Control Systems …, 2010 - ieeexplore.ieee.org
In this work, a novel data-driven control approach, model-free adaptive control, is presented
based on a new dynamic linearization technique for a class of discrete-time single-input and …

High‐gain observers in nonlinear feedback control

HK Khalil, L Praly - … Journal of Robust and Nonlinear Control, 2014 - Wiley Online Library
In this document, we present the main ideas and results concerning high‐gain observers
and some of their applications in control. The introduction gives a brief history of the topic …

[图书][B] Recurrent neural networks for prediction: learning algorithms, architectures and stability

DP Mandic, J Chambers - 2001 - dl.acm.org
From the Publisher: From mobile communications to robotics to space technology to medical
instrumentation, new technologies are demanding increasingly complex methods of digital …