Titlebook: Distributed Model Predictive Control Made Easy; José M. Maestre,Rudy R. Negenborn Book 2014 Springer Science+Business Media Dordrecht 2014

出价

Condense

Distributed Optimization for MPC of Linear Dynamic Networksre influenced by the control signals of the upstream subsystems with constraints on state and control variables. A distributed gradient-based algorithm is presented for implementing an interior-point method distributively with a network of agents, one for each subsystem.

记忆法

CREEK

出来

slow-wave-sleep

A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based ApproaG) strategy is here proposed to coordinate a set of dynamically decoupled subsystems. The approach results in a receding horizon strategy that requires the computation of mixed-integer optimization programs.

characteristic

骚动

978-94-024-0714-3Springer Science+Business Media Dordrecht 2014

Insulin

EVEN

https://doi.org/10.1057/9780230252998ynamical systems coupled by linear global constraints. The resulting structure is composed of one optimization agent for each system, and another one that has to ensure that the global constraints are fulfilled. The global solution of the problem is found in a finite number of iterations.