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pro vyhledávání: '"Chanfreut P"'
In this paper, we introduce a nonlinear distributed model predictive control (DMPC) algorithm, which allows for dissimilar and time-varying control horizons among agents, thereby addressing a common limitation in current DMPC schemes. We consider coo
Externí odkaz:
http://arxiv.org/abs/2410.10428
This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the temperatur
Externí odkaz:
http://arxiv.org/abs/2305.02821
This paper presents a cloud-based learning model predictive controller that integrates three interacting components: a set of agents, which must learn to perform a finite set of tasks with the minimum possible local cost; a coordinator, which assigns
Externí odkaz:
http://arxiv.org/abs/2211.16633
In this paper a coalitional control and observation scheme is presented in which the coalitions are changed online by enabling and disabling communication links. Transitions between coalitions are made to best balance overall system performance and c
Externí odkaz:
http://arxiv.org/abs/2104.03787
Publikováno v:
In Heliyon 15 February 2024 10(3)
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e24762- (2024)
In this article, we present an enhanced version of Cutler's deconvolution method to address the limitations of the original algorithm in estimating realistic input and output parameters. Cutler's method, based on orthogonal polynomials, suffers from
Externí odkaz:
https://doaj.org/article/4784b6e77873495aa5ee2be9532512b0
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Publikováno v:
In Journal of Process Control March 2023 123:64-75
Publikováno v:
In IFAC PapersOnLine 2023 56(2):8518-8523
Publikováno v:
In European Journal of Control November 2022 68