Abstract
An improved technique for decentralized steady-state optimization of coupled systems is presented. Based on the price co-ordination method with an augmented lagrangian, the technique employs local feedback information of real system behaviour and incorporates a facility for regulating the convergence of the infimal level iterations. Contraction mapping and Lipschitz techniques are used to examine the convergence properties of the algorithm whose utility is demonstrated through simulation examples. Both partial and full hierarchical co-ordination methods are examined.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
