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Recent Trends in Receding Horizon Control

Title
Recent Trends in Receding Horizon Control
Authors
Kwon, W.H.[Kwon, Wook Hyun]Han, S.[Han, Soo Hee ]
DGIST Authors
Kwon, W.H.[Kwon, Wook Hyun]
Issue Date
2014
Citation
Journal of Institute of Control, Robotics and Systems, 20(3), 235-244
Type
Article
Article Type
Article
Keywords
CalculationsComputationConstraint HandlingEnergy Management SystemsImplementationModel Predictive ControlMPC (Model Predictive Control)Optimal Control SystemsPetrochemical PlantsPredictive Control SystemsReceding Horizon ControlRHC (Receding Horizon Control)Robust
ISSN
1976-5622
Abstract
This article introduces recent trends in RHC (Receding Horizon Control), also known as MPC (Model Predictive Control), that has been well recognized in industry and academy as a systematic approach for optimal design and constraint management. Constrained and robust RHCs will be briefly reviewed with milestone results. Among the diverse developments and achievements of RHCs, implementation issues will be focused on, together with the latest applications. In particular, this article introduces results on how to solve a finite horizon open-loop optimal control problem in an efficient way, together with code generation for real-time execution and easy implementation. Instead of traditional applications such as refineries and petrochemical plants, this article highlights some selected emerging applications, such as energy management systems and mechatronics, that have resulted from state-of-the-art high performance computing power and advanced numerical schemes.
URI
http://hdl.handle.net/20.500.11750/3139
DOI
10.5302/J.ICROS.2014.14.9011
Publisher
Institute of Control, Robotics and Systems
Files:
There are no files associated with this item.
Collection:
Information and Communication EngineeringETC1. Journal Articles


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