Journal of Robotics, Networking and Artificial Life

Volume 3, Issue 4, March 2017, Pages 249 - 252

Targeting Chaos System via Minimum Principle Control

Authors
Yunzhong Song, Ziyi Fu, Fuzhong Wang
Corresponding Author
Yunzhong Song
Available Online 1 March 2017.
DOI
10.2991/jrnal.2017.3.4.8How to use a DOI?
Keywords
chaos system, Minimum Principle Control (MPC), Hamiltonian function, switching control
Abstract

Chaos targeting via Minimum Principle Control (MPC) was suggested here, to be unique, the targeting via MPC can not only stabilize all the non-stable equilibrium when the control was introduced in the first or the second equation, but also does the extra added control in the third equation, with the cost of switching control direction.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
3 - 4
Pages
249 - 252
Publication Date
2017/03/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.3.4.8How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yunzhong Song
AU  - Ziyi Fu
AU  - Fuzhong Wang
PY  - 2017
DA  - 2017/03/01
TI  - Targeting Chaos System via Minimum Principle Control
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 249
EP  - 252
VL  - 3
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.3.4.8
DO  - 10.2991/jrnal.2017.3.4.8
ID  - Song2017
ER  -