The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Robust distributed model predictive control
Abstract
This paper presents a formulation for distributed model predictive control (DMPC) of systems with coupled constraints. The approach divides the single large planning optimization into smaller sub-problems, each planning only for the controls of a particular subsystem. Relevant plan data is communicated between sub-problems to ensure that all decisions satisfy the coupled constraints. The new algorithm guarantees that all optimizations remain feasible, that the coupled constraints will be satisfied, and that each subsystem will converge to its target, despite the action of unknown but bounded disturbances. Simulation results are presented showing that the new algorithm offers significant reductions in computation time for only a small degradation in performance in comparison with centralized MPC.
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Citations
Cites
Constrained model predictive control: Stability and optimality
Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M. (2000) · Automatica · doi:10.1016/s0005-1098(99)00214-9 · Cited by 8,736
Predictive Control With Constraints
Maciejowski, J. M. (2001) · Cambridge University Engineering Department Publications Database · Cited by 4,368
Predictive control with constraints
Camacho, E. F. (2003) · Automatica · doi:10.1016/s0005-1098(03)00056-6 · Cited by 3,530
Control of systems integrating logic, dynamics, and constraints
Bemporad, A., & Morari, M. (1999) · Automatica · doi:10.1016/s0005-1098(98)00178-2 · Cited by 3,066
Distributed model predictive control
(2002) · IEEE Control Systems · doi:10.1109/37.980246 · Cited by 957
Min-max feedback model predictive control for constrained linear systems
Scokaert, P. O. M., & Mayne, D. Q. (1998) · IEEE Transactions on Automatic Control · doi:10.1109/9.704989 · Cited by 929
Distributed receding horizon control for multi-vehicle formation stabilization
Dunbar, W. B., & Murray, R. M. (2006) · Automatica · doi:10.1016/j.automatica.2005.12.008 · Cited by 757
Systems with persistent disturbances: predictive control with restricted constraints
Chisci, L., Rossiter, J. A., & Zappa, G. (2001) · Automatica · doi:10.1016/s0005-1098(01)00051-6 · Cited by 676
Application of Interior-Point Methods to Model Predictive Control
Rao, C. V., Wright, S. J., & Rawlings, J. B. (1998) · Journal of Optimization Theory and Applications · doi:10.1023/a:1021711402723 · Cited by 536
Decentralized receding horizon control for large scale dynamically decoupled systems
Keviczky, T., Borrelli, F., & Balas, G. J. (2006) · Automatica · doi:10.1016/j.automatica.2006.07.008 · Cited by 424
Metadata
- Authors
- Richards, A., & How, J. P.
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 80
- Issue
- 9
- Pages
- 1517-1531
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W2044197961
- Cited by
- 344
- References
- 20
- FWCI
- 31.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Richards, A., & How, J. P. (2007). Robust distributed model predictive control. International Journal of Control. https://doi.org/10.1080/00207170701491070
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
