NDLI: Event-based state estimation: an emulation-based approach

Content Provider	IET Digital Library
Author	Trimpe, Sebastian
Abstract	An event-based state estimation approach for reducing communication in a networked control system is proposed. Multiple distributed sensor agents observe a dynamic process and sporadically transmit their measurements to estimator agents over a shared bus network. Local event-triggering protocols ensure that data is transmitted only when necessary to meet a desired estimation accuracy. The event-based design is shown to emulate the performance of a centralised state observer design up to guaranteed bounds, but with reduced communication. The stability results for state estimation are extended to the distributed control system that results when the local estimates are used for feedback control. Results from numerical simulations and hardware experiments illustrate the effectiveness of the proposed approach in reducing network communication.
Starting Page	1684
Ending Page	1693
Page Count	10
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 11, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.1021
Journal	IET Control Theory & Applications
Publisher Date	2017-01-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Centralised State Observer Design Control System Analysis Control System Synthesis Data Transmission Discrete Control System Discrete Time System Discrete-time State Observer Design Distributed Control Distributed Control System Distributed Sensor Emulation-based Approach Estimator Agent Event-based State Estimation Event-triggering Protocol Linear State Observer Design Modelling And Identification Multiple Distributed Sensor Agent Multivariable Control System Network Communication Reduction Networked Control System Shared Bus Network Simulation Stability Stability Analysis Stability in Control Theory Synthesis Method
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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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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