Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
Multilevel Feedback Control for Interconnected Dynamical Systems Using the Prediction Principle
IEEE Transactions on Systems, Man and Cybernetics, Volume SMC-6, No. 4, Year 1976
Notification
URL copied to clipboard!
Description
A method is developed for providing the optimal feedback gain matrix for high-order linear quadratic problems by a decentralized computational procedure. All the calculations in this approach are done off-line. The resulting gains are optimal for all initial conditions so that the eventual on-line computation is minimal. The method is applicable to both the regulator and the servomechanism problems and is particularly attractive to use for the infinite time case where even the off-line computation is small. A 22nd-order numerical example is used to illustrate the approach. The system here is the practical one of river pollution control based on some data from the river Cam near Cambridge, England. For this case, the optimal feedback matrix is calculated using the new approach. Copyright © 1976 by The Institute of Electrical and Electronics Engineers, Inc.
Authors & Co-Authors
Singh, Madan G.
United Kingdom, Cambridge
St. John's College Cambridge
Hassan, Mohamed Fahim
France, Toulouse
Laboratoire D'analyse et D'architecture Des Systemes
Titli, André
France, Toulouse
Laboratoire D'analyse et D'architecture Des Systemes
Statistics
Citations: 39
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1109/TSMC.1976.5408774
ISSN:
00189472
Research Areas
Environmental