Results 21 to 30 of about 1,568,027 (199)
Iterative Learning Control for Load Frequency in Cyber-Attacked Multi-Area Power Systems
IEEE Access, 2023 Sustaining the performance of the power grid at a desired operating point is a challenge in an uncertain environment. As a result of the environment’s dynamic and unpredictable nature, the multi-area-linked power system is impacted by ...
Nezar M. Al-Yazidi +2 more
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Curriculum Design and Sim2Real Transfer for Reinforcement Learning in Robotic Dual-Arm Assembly
MachinesRobotic systems are crucial in modern manufacturing. Complex assembly tasks require the collaboration of multiple robots. Their orchestration is challenging due to tight tolerances and precision requirements.
Konstantin Wrede +5 more
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Optimal control of the vessel motion process at the broadside slip
Trudy Odesskogo Politehničeskogo Universiteta, 2015 The main purpose during the mechanized launching or lifting of a vessel using broadside slip is the uniform velocity motion providing of the object (vessel with launching trolleys) and the guaranteed prevention of emergencies.
Anton A. Omelchuk +2 more
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IEEE Access, 2021 In this paper, a robust and safety distributed formation control with unknown external disturbances is researched. For a multi-quadrotors system, a novel nonsingular terminal sliding mode control strategy is studied to realize the formation control with ...
Wei Shang +4 more
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Adaptive control of nonlinear underwater robotic systems [PDF]
Modeling, Identification and Control, 1991 The problem of controlling underwater mobile robots in 6 degrees of freedom (DOF) is addressed. Uncertainties in the input matrix due to partly known nonlinear thruster characteristics are modeled as multiplicative input uncertainty.
Thor I. Fossen, Svein I. Sagatun
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Adaptive traffic control systems for urban networks [PDF]
Tehnika, 2017 Adaptive traffic control systems represent complex, but powerful tool for improvement of traffic flow conditions in locations or zones where applied. Many traffic agencies, especially those that have a large number of signalized intersections with high ...
Radivojević Danilo +3 more
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Gain control in molecular information processing: Lessons from neuroscience [PDF]
, 2011 Statistical properties of environments experienced by biological signaling systems in the real world change, which necessitate adaptive responses to achieve high fidelity information transmission. One form of such adaptive response is gain control.
Berg H +6 more
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Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems [PDF]
, 2014 (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Li, G, Na, J, Ren, X, Stoten, DP
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GCRL: a graph neural network framework for network connectivity robustness learning
New Journal of PhysicsThe resilience and adaptability of complex networks is crucial in ensuring their functionality against disruptions. Particularly, maintaining network connectivity under various attack scenarios is a key aspect of such resilience.
Yu Zhang +4 more
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Configurational and system requirements for control of large space systems [PDF]
, 1982 Control of large space systems, modeling, and control difficulties are discussed. Ground based analysis of spaceflight data are presented to determine structural dynamics characteristics for the purpose of revising control laws, and to trim the surface ...
Taylor, L. W., Jr.
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