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Distributed nonline...
Distributed nonlinear model predictive control based on contraction theory
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Long, Yushen (författare)
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Liu, Shuai (författare)
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Xie, Lihua (författare)
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- Johansson, Karl Henrik (författare)
- KTH,ACCESS Linnaeus Centre
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(creator_code:org_t)
- 2017-07-18
- 2018
- Engelska.
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Ingår i: International Journal of Robust and Nonlinear Control. - : WILEY. - 1049-8923 .- 1099-1239. ; 28:2, s. 492-503
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- A novel distributed model predictive control algorithm for continuous-time nonlinear systems is proposed in this paper. Contraction theory is used to estimate the prediction error in the algorithm, leading to new feasibility and stability conditions. Compared to existing analysis based on Lipschitz continuity, the proposed approach gives a distributed model predictive control algorithm under less conservative conditions, allowing stronger couplings between subsystems and a larger sampling interval when the subsystems satisfy the specified contraction conditions. A numerical example is given to illustrate the effectiveness and advantage of the proposed approach.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- contraction theory
- distributed control
- model predictive control
- nonlinear systems
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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