Reliable Control Optimization in Aerospace Engineering at Stochastic Stream of Faults
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.198
Abstract: Abstract We consider problems on passive fault-tolerant control of a satellite during its inter-orbital flight and the transition of a vehicle from the trajectory of its passive motion into a circular orbit at failures of… read more here.
Keywords: reliable control; stochastic stream; control optimization; control ... See more keywords
A Multi-Level Control and Optimization Scheme for Islanded PV Based Microgrid: A Control Frame Work
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2019.2897579
Abstract: This paper proposes a multi-level control and optimization scheme, including grid control and node control, for an islanded 48-V PV-based low-voltage dc (LVdc) microgrid that aims to overcome the drawbacks of centralized and decentralized control… read more here.
Keywords: control; scheme; control optimization; level control ... See more keywords
Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2019.2936194
Abstract: This special issue of the IEEE Transactions on Control of Network Systems (TCNS) contains original contributions which identify and solve the emerging challenges in power systems and, more generally, in complex energy networks. Thirty papers… read more here.
Keywords: control optimization; special issue; energy; control ... See more keywords
Models for malaria control optimization—a systematic review
Sign Up to like & getrecommendations! Published in 2024 at "Malaria Journal"
DOI: 10.1186/s12936-024-05118-3
Abstract: Despite advances made in curbing the global malaria burden since the 2000s, progress has stalled, in part due to a plateauing of the financing available to implement needed interventions. In 2020, approximately 3.3 billion USD… read more here.
Keywords: control optimization; analysis; malaria control; models malaria ... See more keywords
A Recurrent Neural Network–Based Proxy Model for Well-Control Optimization with Nonlinear Output Constraints
Sign Up to like & getrecommendations! Published in 2021 at "Spe Journal"
DOI: 10.2118/203980-pa
Abstract: In well-control optimization problems, the goal is to determine the time-varying well settings that maximize an objective function, which is often the net present value (NPV). Various proxy models have been developed to predict NPV… read more here.
Keywords: optimization; control optimization; well control; based proxy ... See more keywords
Imitation-Guided Reinforcement Learning with Adaptive Sampling and Expert Knowledge for Real-Time Well Control Optimization
Sign Up to like & getrecommendations! Published in 2025 at "SPE Journal"
DOI: 10.2118/231172-pa
Abstract: Deep reinforcement learning (DRL) has been increasingly applied to real-time well control optimization but remains hindered by low sampling efficiency and weak early-stage exploration. Even though neural networks excel in learning, they lack search capacity,… read more here.
Keywords: control optimization; real time; well control; reinforcement learning ... See more keywords
Control and Optimization of Interfacial Flows Using Adjoint-Based Techniques
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DOI: 10.3390/fluids5030156
Abstract: The applicability of adjoint-based gradient computation is investigated in the context of interfacial flows. Emphasis is set on the approximation of the transport of a characteristic function in a potential flow by means of an… read more here.
Keywords: adjoint; flows using; adjoint based; control optimization ... See more keywords
Accelerating process control and optimization via machine learning: a review
Sign Up to like & getrecommendations! Published in 2024 at "Reviews in Chemical Engineering"
DOI: 10.48550/arxiv.2412.18529
Abstract: Abstract Process control and optimization have been widely used to solve decision-making problems in chemical engineering applications. However, identifying and tuning the best solution algorithm is challenging and time-consuming. Machine learning tools can be used… read more here.
Keywords: process control; control optimization; machine; machine learning ... See more keywords