Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Distributed consensus filtering in sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Distributed consensus algorithms in sensor networks: quantized data and random link failures
IEEE Transactions on Signal Processing
Automatica (Journal of IFAC)
Brief paper: Formation control using range-only measurements
Automatica (Journal of IFAC)
Hi-index | 22.14 |
This paper presents a theoretical framework to design and analyze the consensus of a sampled-data multi-agent networking system via model predictive control (MPC). We introduce a distributed MPC weighted-average consensus protocol for a continuous-time multi-agent network in the sampled-data setting, and prove such a sampled-data multi-agent system asymptotically reaches the weighted-average consensus via the distributed MPC protocol with both fixed and switching network topologies. Numerical examples verify the effectiveness of the distributed MPC consensus protocol, which is beneficial to the convergence of consensus and the feasible range of the sampling interval.