Time-Varying Scheme for Non-Centralized Model Predictive Control of Large-scale Systems

Time-Varying Scheme for Non-Centralized Model Predictive Control of Large-scale Systems

Nunez Vicencio, A.A.
Ocampo-Martinez, C.
Maestre, J.M.
De Schutter, B.H.K.

Mechanical, Maritime and Materials Engineering

Delft Center for Systems and Control

2015-08-17

The Non-Centralized Model Predictive Control (NC-MPC) framework refers in this paper to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we propose suitable on-line methods to decide which information is shared and how this information is used between the different local predictive controllers operating in a decentralized, distributed, and/or hierarchical way. Evaluating all the possible structures of the NC-MPC controller leads into a combinatorial optimization problem. Therefore, we also propose heuristic reduction methods, to keep tractable the number of NC-MPC problems to be solved. To show the benefits of the proposed framework, a case study of a set of coupled water tanks is presented.

model predictive control
large-scale systems
non-centralized control
time-varying control topologies
OA-Fund TU Delft

http://resolver.tudelft.nl/uuid:054116d7-7ada-4957-9ab0-dfc49ca6a0bd

Hindawi

1024-123X

https://doi.org/10.1155/2015/560702

Mathematical Problems in Engineering, 2015

Institutional Repository

journal article

(c) 2015 The Author(s)
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.