NDLI: Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem

Content Provider	IEEE Xplore Digital Library
Author	Speyer, J.L.
Copyright Year	1978
Description	Author affiliation: The University of Texas at Austin (Speyer, J.L.)
Abstract	A decentralized control problem involving K nodes is formulated. At each node are sensors and controls. The object is to share the information of each sensor, processed with a Kalman estimator, with all the other nodes so that the controllers can be computed using the best estimate of the state of the system given the information from all the sensors. The controls are determined so that the expected value of a quadratic performance index is minimized. The problem is formulated as a decentralized control problem without a central supervisor so that the system performance will degrade gracefully under structural perturbations, Therefore, the transmission of data is from each node to every other node: there are ¿i=1 K (i-1) links connecting all nodes. It is shown that if the dimension of the controls at each node l is less than both the dimension of the data at node m and the dimension of the state, then a data vector with dimension of the control at l can be transmitted from m to l. This compression of data transmission is done at the expense of propagating an additional data dependent vector at each node beyond the usual Kalman filter equations.
Starting Page	1126
Ending Page	1131
File Size	384162
Page Count	6
File Format	PDF
DOI	10.1109/CDC.1978.268109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1979-01-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed control Sensor systems State estimation Kalman filters Control systems Performance analysis System performance Degradation Joining processes Data communication
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem

Dynamic model dependency for a decentralized linear-quadratic-Gaussian control problem

Jump Linear Quadratic Gaussian Control in Continuous Time

Estimation from lossy sensor data: jump linear modeling and Kalman filtering

State estimation under bit-rate constraints

IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Kalman Filter Techniques

Networked estimation using a send-on-delta method

Event-Based Measurement Updating Kalman Filter in Network Control Systems

Stochastic Optimal Linear Estimation and Control

Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem

Similar Documents

Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem

Dynamic model dependency for a decentralized linear-quadratic-Gaussian control problem

Jump Linear Quadratic Gaussian Control in Continuous Time

Estimation from lossy sensor data: jump linear modeling and Kalman filtering

State estimation under bit-rate constraints

IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Kalman Filter Techniques

Networked estimation using a send-on-delta method

Event-Based Measurement Updating Kalman Filter in Network Control Systems

Stochastic Optimal Linear Estimation and Control

Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem