Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 2 June 2020Accepted: 16 September 2021Published online: 05 January 2022Keywordseigenvalue problem, domain decomposition, dimension reduction, subspace methodAMS Subject Headings65F15Publication DataISSN (print): 0036-1429ISSN (online): 1095-7170Publisher: Society for Indu...

The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model multi-agent coordination problems that are distributed by nature. While DCOPs assume variables discrete and the environment does not change over time, agents often interact in more dynamic complex environment. To address these limiting assumptions, researchers have proposed Dynamic (D-DCOPs) how dynam...

Part 2 continues the study of optimization techniques for elliptic control problems subject to control and state constraints and is devoted to distributed control. Boundary conditions are of mixed Dirichlet and Neumann type. Necessary conditions of optimality are formally stated in form of a local Pontryagin minimum principle. By introducing suitable discretization schemes, the control problem ...

In this work, we consider output-feedback distributed model predictive control (DMPC) based on state estimation with bounded process disturbances and output measurement noise. Specifically, a scheme observer-enhanced moving horizon (DMHE) is considered for purposes. The DMHE ensures that the estimates of system reach small neighborhood actual values quickly then maintain within neighborhood. Th...

We consider the problem of steering a multiagent system to multiconsensus, namely regime where groups agents agree on given value, which may be different from group group. first address by using distributed proportional controllers that implement additional links in network modeling communication protocol among and introduce procedure for optimal selection them. Both cases single integrators se...