Event‐triggered distributed model predictive control with optimal network topology

Abstract

Summary In this paper, we consider a novel iterative DMPC (distributed model predictive control) scheme for linear discrete‐time systems which are connected by network. Every system is dynamically coupled to neighbors. The proposed method can reduce the communication load without degrading performance compared to cooperative DMPC by sensitivity and information topology analysis. The proposed algorithms are applied in a four‐water‐tanks numerical example, and the simulation results show the effectiveness of the proposed algorithms.

Event‐triggered distributed model predictive control scheme for temperature regulation in multi‐zone air conditioning systems with improved indoor thermal preference indicator

“…At every sample time k, calculate and check the event-triggered mechanism (31) for the subsystems; 2. Phase I: if an event (31) occurs in the i-th subsystem Σ i , the DMPC controller C i is activated to solve the quadratic program problem (27) based on the state information exchange among the controllers through communication network, in order to derive the new optimal process input signals u i (k).…”

“…Over the past decades, event‐triggered control mechanism have shown their communication efficiency and promising performance in many areas, where the update of the controllers and the critical information exchange among the controllers will not be performed until some pre‐designed events occur 24‐26 . Though numerous results have been reported for various systems with different dynamics, only very limited attention has been paid to the event‐triggered control mechanism under the DMPC framework in the research domain 27,28 . Moreover, how to design a simple event‐triggered DMPC strategy for multi‐zone A/C system to ensure its tracking performance remains open and challenge, which is of important practical application interests.…”

“…[24][25][26] Though numerous results have been reported for various systems with different dynamics, only very limited attention has been paid to the event-triggered control mechanism under the DMPC framework in the research domain. 27,28 Moreover, how to design a simple event-triggered DMPC strategy for multi-zone A/C system to ensure its tracking performance remains open and challenge, which is of important practical application interests. This motivates the second part of our work, in which an event-triggered DMPC scheme is developed such that the performance of the entire multi-zone A/C system is ensured with less computation and communication load.…”