Decentralized optimal control with application to dynamic routing in computer communication networks
Document Type
Dissertation
Date of Award
Spring 12-31-1983
Degree Name
Doctor of Engineering Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Marshall Chuan Yung Kuo
Second Advisor
Robert De Lucia
Third Advisor
Stanley S. Reisman
Fourth Advisor
Roy A. Plastock
Abstract
This research considers the dynamic routing problem of computer communication networks in the framework of decentralized control theory. The routing dynamics are modeled in terms of a state equation with multiple controllers. Routing, or control of message flow, is formulated as an optimal control problem with multiple decision makers. Each decision maker may have access to different set of information and work cooperatively to optimize a common system performance index.
Necessary and sufficient conditions for optimality are derived for a system with a deterministic and a stochastic traffic patterns under a linear information structure and a quadratic performance index. The resultant control strategies are examined with two extreme information cases: (1) complete information where all state information are available to every local controller through measurement or perfect communication, and (2) partial information where there is no communication among controllers. A three node network is used as a numerical example to interpret the results.
Recommended Citation
Wang, Ning, "Decentralized optimal control with application to dynamic routing in computer communication networks" (1983). Dissertations. 1199.
https://digitalcommons.njit.edu/dissertations/1199
