Receding horizon control of nonlinear systems
Abstract
The receding horizon control strategy provides a relatively simple method for determining feedback control for linear or nonlinear systems; the method is especially useful for the control of slow nonlinear systems, such as chemical batch processes, where it is possible to solve, sequentially, open-loop, fixed-horizon, optimal control problems online. The authors show that receding horizon control stabilizes a wide class of nonlinear systems, extending the results of their previous paper, which require the finite-horizon value function to be continuously differentiable.>
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References 13 · Cited by 40
- Authors
- Michalska, H., & Mayne, D. Q.
- Affiliations
- Imperial College London (GB)
- Venue
- Proceedings of the 28th IEEE Conference on Decision and Control
- Publisher
- IEEE
- Published
- 2003-01-07
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W2128818348
- Cited by
- 40
- References
- 13
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 3 · 2021: 7 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 3 · 2014: 1 · 2013: 4 · 2012: 1
- FWCI
- 0.49
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Conference on Decision and Control (CDC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Keywords
- model predictive control, nonlinear systems, feedback stabilization, optimal control, online control
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