Following the advances in electronics and communications technology in the last three decades, a new paradigm for large-scale dynamic systems emerged. In this paradigm, groups of independent dynamic systems, such as unmanned air vehicles or spacecraft, act as a cooperative unit for a diverse set of applications in remote sensing, exploration, and imaging. These systems have been envisioned to provide highly flexible and reconfigurable structures that use individual autonomy to respond to changing environments and operations. The main aim of this work has been to design methods and algorithms to enable efficient operations for such large-scale dynamic systems when a centralized decision-maker cannot or does not exist. Towards this end, a decentralized optimization method and a coordination algorithm have been developed. This methodology is applied to decentralized coordination problems from the aerospace and the operations research fields.

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