Results 41 to 50 of about 1,613,291 (363)
Anesthesia and Analgesia, 2020 We describe an evidence-based approach for optimization of infection control and operating room management during the Coronavirus Disease 2019 (COVID-19) pandemic.
F. Dexter +3 more
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International Journal of Renewable Energy Development, 2023 The large-scale integration of doubly-fed induction generator (DFIG) based wind power plants poses stability challenges for power system operation. This study investigates the transient stability and dynamic performance of a modified 3-machine, 9-bus ...
Khaled Kouider, Abdelkader Bekri
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Distributed Control and Optimization for Autonomous Power Grids
European Control Conference, 2019 The electric power system is currently undergoing a period of unprecedented changes. Environmental and sustainability concerns lead to replacement of a significant share of conventional fossil fuel-based power plants with renewable energy sources.
Florian Dörfler +3 more
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Optimization and Optimal Control [PDF]
, 2003 Extragradient Approach to the Solution of Two Person Non-Zero Sum Games (A Antipin) Nonlinear Phenomena in Economics (S Budnyam) On Some Theory, Methods and Algorithms for Concave Programming (R Enkhbat) Maximum Clique Regularizations (D Fortin & I Tseveendorj) The Role of Optimization in Economics (D W Katzner) A Global Optimization Approach to ...
Panos M Pardalos +2 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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Discrete Dynamics in Nature and Society, 2020 In this paper, we consider a hybrid network model of delayed predator-prey Gompertz systems with impulsive diffusion between two patches, in which the patches represent nodes of the network such that the prey population interacts locally in each patch ...
Li Xiang +4 more
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Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies
Annu. Rev. Control. Robotics Auton. Syst., 2023 Gradient-based methods have been widely used for system design and optimization in diverse application domains. Recently, there has been a renewed interest in studying theoretical properties of these methods in the context of control and reinforcement ...
Bin Hu +5 more
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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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Pedestrian Dead Reckoning Using Pocket-Worn Smartphone
IEEE Access, 2019 Indoor pedestrian dead reckoning (PDR) extends the location-based service (LBS) to environments, where GPS or beacon signals are degraded or unavailable.
Hongyu Zhao +5 more
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IEEE Access, 2021 This paper studies the leader-following consensus problem of discrete-time multi-agent systems with time-varying delays by developing a new cyclic switching scheme.
Hui-Wei Liu, Tao Sun, Chong-Quan Zhong
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