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...

Distributed estimation plays an essential role in many networked applications, such as communication, networked control, monitoring and surveillance. Motivated by this, the chapter provides an overview on some of the fundamental aspects of distributed estimation over networks together with an investigation of the computational complexity and communication cost. A phenomenon being observed by a ...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 10 September 2020Accepted: 28 June 2021Published online: 05 October 2021Keywordsdistributed computing, spectral methods, nonconvex optimization, principal component analysis, statisticsAMS Subject Headings62-08, 65F15, 65F55, 68Q87Publication DataISSN (online): 2577-0187P...