NDLI: Event-triggered state estimation for stochastic hybrid systems with missing measurements

Content Provider	IET Digital Library
Author	Jin, Zengwang Hu, Yanyan Sun, Changyin
Abstract	This study is concerned with the event-triggered state estimation problem for a class of stochastic hybrid systems with missing measurements in a networked environment. Two independent Markov chains are introduced to, respectively, characterise the stochastic measurement missing and the possible modal (or mode) transition of the system. In consideration of the constrained bandwidth and limited power resources of networked systems, a closed-loop event-triggered mechanism based on the measurement innovation is designed to trigger data transmission only when trigger conditions are satisfied. To keep the exponentially increasing number of full hypothesis sequences in optimal estimation to bounded computational complexity, the interacting multiple model framework is extended to tackle event-triggered sampling with the statistical information implicit in event-triggered conditions sufficiently explored and the possible measurement missing taken into account. A Monte Carlo simulation involving tracking a two-dimensional manoeuvring target with two operational modes is provided to demonstrate the effectiveness and efficiency of the proposed event-triggered hybrid state estimation in the presence of missing measurements.
Starting Page	2551
Ending Page	2561
Page Count	11
ISSN	17518644
Volume Number	12
e-ISSN	17518652
Issue Number	Issue 18, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/12/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.5568
Journal	IET Control Theory & Applications
Publisher Date	2018-10-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Closed Loop System Closed-loop Event-triggered Mechanism Computational Complexity Event-triggered Hybrid State Estimation Markov Chain Markov Processes Missing Measurement Modelling And Identification Monte Carlo Method Monte Carlo Simulation Networked System Optimal Estimation Power ReSource Simulation State Estimation Statistical Analysis Statistical Information Statistics Stochastic Hybrid System Stochastic System Target Tracking Time Varying Control System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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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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