Distributed Optimization for Control

Dear Colleagues,

Distributed control and optimization have become a major concern in recent years due to an increase in industrial applications, such as multivehicle mobility, smart grid operations, and intelligent transportation management. Each agent of a networked system often only has access to its own private local features and only a local perspective of the network topology. Each agent must adopt an optimal strategy in a local sense to attain the overall maximum performance. The interaction of the agents can generate a capability to find the optimal solution that is beyond each agent’s competence. Distributed optimization for control would offer valuable mathematical tools for determining the best control strategies and choices for networked agents.

The current topical collection aims to attract high-quality contributions in distributed control and optimization over networks, decentralized algorithms, and their practical applications.

Topics of interest:

• Distributed control over networks;
• Distributed methods for optimization in networks;
• Distributed optimization algorithms for control;
• Game theory to distributed control;
• Robust distributed optimization;
• Stochastic distributed optimization;
• Computational algorithms for distributed optimization and control;
• New distributed optimization and control techniques in smart grids, transportation, social networks, etc.

Dr. Honglei Xu
Dr. Lingyun Wang
Topic Editors