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This brief presents the limited-communication distributed model predictive control (LC-DMPC) algorithm for coupled and constrained linear discrete systems. In this framework, the global control problem is divided into a number of coupled subsystems based on a neighbor upstream and downstream structure. According to this structure, a subsystem views the coupling signals from upstream neighbors as measured...
This work introduces a distributed model predictive control algorithm for output feedback coupled and constrained subsystems. The proposed algorithm is based on neighbor communications between the directly coupled agents. Distributed Kalman filters are employed to estimate the local states through local outputs, control actions, and measured disturbances. This is an iterative approach where local...
This work explores the distributed model predictive control scheme. The Neighbor-Communication, Distributed Constrained-Model Predictive Control (NC-DCMPC) framework is suggested where a centralized problem is divided into dynamically coupled subsystems and the local controllers are allowed to communicate with neighbor agents only. The neighbor structure is defined based on the physical interconnections...
Heating, ventilation, and air conditioning (HVAC) systems in large buildings frequently feature physical interactions where the outputs of each dynamic subsystem act as disturbances to other subsystems in its neighborhood. Centralized control of such interconnected systems is usually not practical due to the large communication burden, while decentralized control may achieve the non-optimal performance...
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