Invited Session 3

Distributed Sensing, Learning and Coordination of Multi-Agent Systems

Submission code: n14ru 

Xianwei Li, Yang Tang

I. Abstract

This invited session focuses on distributed sensing, learning and coordination of multi-agent systems. A particular focus is put on those investigations with theoretic importance in distributed control, optimization and coordination, and practical considerations of dynamic constraints, system uncertainties and control performances. A secondary goal of the session is to provide a cross-section between

theory and practice about coordination of multi-agent systems. Practical application scenarios entail the simplicity and efficiency of control methods. Overall, this session focuses, broadly, on control- and systems-theoretic studies of coordination and teaming of multi-agent system. The application of multi-agent system is broad and potential in many current and emerging areas.

II. Key Words

Multi-agent systems; Cooperative control; Consensus algorithms

III. Proposal

Coordination and teaming of multi-agent systems have received considerable attention in the past decade. By appropriately designing a control protocol, a group of interconnected autonomous agents can be coordinated to produce many benefits. Nowadays multi-agent systems can find various potential and emerging applications in many areas such as multi-robot coordination, smart grid cheduling, collective behaviors emergence, distributed optimization and so on. A common feature in most applications is the fact that each agent only has limited communication and computation capabilities, which entails the design and implementation of control protocols in a distributed/decentralized manner. Thus, traditional control theory focusing on centralized control of lumped systems is not inapplicable for multi-agent systems in this context.

This invited session is devoted to state-of-the-art investigations about coordination and teaming of multi-agent systems in both theoretic and applied developments. It will deal with analysis and design challenges resulting from the consideration of new system dynamics, new network characteristics, new control protocols and/or new applications. It will create a forum and medium for re- searchers and engineers from all related areas to present their ideas, developments and findings on coordination of multi-agent systems.

The topics of this session include, but not limited to,

Consensus of multi-agent systems

Synchronization of complex networks

Distributed optimization on networks

Formation control of multi-agent systems

Distributed estimation/filtering of sensor networks

Distributed sampled-data control

Event-based strategies in multi-agent systems

Distributed predictive control

Distributed adaptive control

Distributed learning of multi-agent systems

Controllability/observability of multi-agent systems

Distributed dispatch of smart grids

Distributed coordination of multi-robots

Spreading mechanisms of opinion dynamics


Xianwei LI Shanghai Jiao Tong University, Shanghai 200240, China

Yang TANG East China University of Science and Technology, Shanghai 200237, China