Fast gradient‐based distributed optimisation approach for model predictive control and application in four‐tank benchmark-Reference-Cited by-同舟云学术

Fast gradient‐based distributed optimisation approach for model predictive control and application in four‐tank benchmark

Published:2015-06 Issue:10 Volume:9 Page:1579-1586
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhou Xiaojun¹,Li Chaojie²,Huang Tingwen³,Xiao Mingqing⁴

Affiliation:

1. School of Information Science and Engineering, Central South UniversityChangsha410083People's Republic of China

2. School of Electrical and Computer Engineering, RMIT UniversityMelbourneVIC3000Australia

3. Texas A & M University at QatarDoha5825Qatar

4. Department of MathematicsSouthern Illinois UniversityCarbondaleIllinois62901USA

Funder

Qatar National Research Fund

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0549

Reference22 articles.

1. Constrained model predictive control: Stability and optimality

2. Distributed MPC Strategies With Application to Power System Automatic Generation Control

3. Decentralized receding horizon control for large scale dynamically decoupled systems

4. Traffic Management for Automated Highway Systems Using Model-Based Predictive Control

5. Distributed model predictive control of constrained nonlinear systems with communication delays

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