Networked and Distributed Convex Optimization for Design, Estimation, and Verification

摘要

The core research conducted over the period of this grant focused on distributed and networked optimization in a variety of practical settings, including design (such as, for circuits), parameter estimation and fault identification (for integrated vehicle health management), network flow control, control of wireless and sensor networks, methods for general purpose control, and power optimization in processors. The research explored a variety of applications of distributed optimization in which local decisions are coordinated to produce a good overall solution. These problems arise in many areas, such as monitoring the health of a complex system, coordinating the design of a complex system, or fusing together information from disparate sources. The researchers exploited mathematical properties of the underlying problems to be solved (specifically, convexity) to develop effective methods. Following a brief description of the core research conducted during this grant, the report presents a bibliography of 56 archival publications in which Stephen Boyd is a co-author and other achievements realized during the course of the grant: 8 student doctoral dissertations, 4 software programs, honors and awards, and 7 plenary/keynote talks.