In recent years there has been an increasing need of advanced techniques for control and optimization of complex large-scale dynamical systems. Fortunately, along with the increase of complexity there have been great technological advances in the fields of communication networks and embedded computer technology. The natural approach to control such complex systems is therefore to distribute the computational burdain among different agents that, through approrpiate communication cooperatively achieve system-wide goals.
Our research focuses on the investigation of the theorethical tools necessary for decentralized control and optimization in the following fields:
Related Applications:We are motivated by applications in etherogeneus fields: