A computational algorithm for decentralized minimum-energy control of large scale systems

This paper describes an algorithm based on the interaction prediction principle for computing decentralized minimum-energy control of linear systems with prescribed initial and final states. The technique is noniterative at the infimal level, and utilizes a reinjection type coordinator with constant averaging. Results are summarized for computational experiments comparing the effects of subsystem interactions and averaging on convergence.