Results 41 to 50 of about 35,258,269 (345)
Optimal scheduling and control for constrained multi-agent networked control systems [PDF]
, 2022 In this paper, we study optimal control and communication schedule co-design for multi-agent networked control systems, with assuming shared parallel communication channels and uncertain constrained linear time-invariant discrete-time systems.
Falcone, Paolo, +11 more
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Optimal Control of Boolean Control Networks [PDF]
IEEE Transactions on Automatic Control, 2014 In this paper, we address the optimal control problem for Boolean control networks (BCNs). We first consider the problem of finding the input sequences that minimize a given cost function over a finite time horizon. The problem solution is obtained by means of a recursive algorithm that represents the analogue for BCNs of the difference Riccati ...
FORNASINI, ETTORE, VALCHER, MARIA ELENA
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Evolution of a geometric constant along the Ricci flow
Journal of Inequalities and Applications, 2016 In this paper, we establish the first variation formula of the lowest constant λ a b ( g ) $\lambda_{a}^{b}(g)$ along the Ricci flow and the normalized Ricci flow, such that to the following nonlinear equation there exist positive solutions: − Δ u + a u ...
Guangyue Huang, Zhi Li
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Optimal Guidance Command Generation and Tracking for Reusable Launch Vehicle Reentry [PDF]
, 2006 The article of record as published may be located at http://arc.aiaa.orgProceedings of AIAA-Guidance, Navigation, and Control Conference and Exhibit ; Paper no. AIAA-2006-6691, Keystone, Colorado, Aug. 21-24, 2006The objective of this work is to develop
Bollino, Kevin P. +2 more
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Nanomaterials, 2023 The effect of thermally generated equilibrium carrier distribution on the vacancy generation, recombination, and mobility in a semiconductor heterostructure with an undoped quantum well is studied.
Timur S. Shamirzaev +3 more
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A mean-field optimal control formulation of deep learning [PDF]
Research in the Mathematical Sciences, 2018 Recent work linking deep neural networks and dynamical systems opened up new avenues to analyze deep learning. In particular, it is observed that new insights can be obtained by recasting deep learning as an optimal control problem on difference or ...
W. E, Jie-Qun Han, Qianxiao Li
semanticscholar +1 more source
Optimal control in epidemiology
Annals of Operations Research, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O. Sharomi, Tufail Malik
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Convergence of Pseudospectral Discretization of Optimal Control Problems [PDF]
, 2001 The article of record as published may be located at http://ieeexplore.ieee.orgProceedings of the 40th IEEE Conference on Decision and Control ; Orlando, Florida USA, December 2001A generic nonlinear optimal control problem with a Bolza cost functional ...
Fahroo, Fariba, Ross, Michael I.
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SIAM Journal on Control and Optimization, 2005 Summary: This paper provides a framework for deriving necessary conditions, in the form of a maximum principle, for minimax optimal control problems. The distinguishing feature of these problems is that the data depends on a vector \(\alpha\) of unknown parameters, and ``optimality'' is defined on a worst case basis, as \(\alpha\) ranges over the ...
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Journal of Inequalities and Applications, 2017 In this paper, we propose a Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization using the arc-search strategy.
Ximei Yang, Yinkui Zhang
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