NDLI: Two extensions of topological feedback entropy

Content Provider	Springer Nature Link
Author	Hagihara, Rika Nair, Girish N.
Copyright Year	2013
Abstract	Topological feedback entropy (TFE) measures the intrinsic rate at which a continuous, fully observed, deterministic control system generates information for controlled set-invariance. In this paper we generalise this notion in two directions; one is to continuous, partially observed systems, and the other is to discontinuous, fully observed systems. In each case, we show that the corresponding generalised TFE coincides with the smallest feedback bit rate that allows a form of controlled invariance to be achieved.
Starting Page	473
Ending Page	490
Page Count	18
File Format	PDF
ISSN	09324194
Journal	Mathematics of Control, Signals, and Systems
Volume Number	25
Issue Number	4
e-ISSN	1435568X
Language	English
Publisher	Springer London
Publisher Date	2013-05-17
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Topological entropy Communication-limited control Quantised systems Systems Theory, Control Control, Robotics, Mechatronics Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Applied Mathematics Signal Processing Control and Systems Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Two extensions of topological feedback entropy