Internal Models in Control, Bioengineering, and Neuroscience-Reference-Cited by-同舟云学术

Internal Models in Control, Bioengineering, and Neuroscience

Published:2021-11-29 Issue:1 Volume:5 Page:
ISSN:2573-5144
Container-title:Annual Review of Control, Robotics, and Autonomous Systems
language:en
Short-container-title:Annu. Rev. Control Robot. Auton. Syst.

Author:

Bin Michelangelo¹,Huang Jie²,Isidori Alberto³,Marconi Lorenzo⁴,Mischiati Matteo⁵,Sontag Eduardo⁶

Affiliation:

1. Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom;

2. Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong, China;

3. Department of Computer, Control, and Management Engineering, Sapienza Università di Roma, Rome, Italy;

4. Department of Electrical, Electronic, and Information Engineering, University of Bologna, Bologna, Italy;

5. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA;

6. Department of Electrical and Computer Engineering and Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA;

Abstract

Internal models are nowadays customarily used in different domains of science and engineering to describe how living organisms or artificial computational units embed their acquired knowledge about recurring events taking place in the surrounding environment. This article reviews the internal model principle in control theory, bioengineering, and neuroscience, illustrating the fundamental concepts and theoretical developments of the few last decades of research. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Publisher

Annual Reviews

Link

https://www.annualreviews.org/doi/pdf/10.1146/annurev-control-042920-102205

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