Results 51 to 60 of about 953,075 (309)
Scholarpedia, 2008 Optimal control is the process of determining control and state trajectories for a dynamic system over a period of time to minimise a performance index.
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, 2018 This paper introduces GEKKO as an optimization suite for Python. GEKKO specializes in dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic equations (DAE) problems.
Daniel C. Hill +3 more
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Advanced targeting cost function design for evolutionary optimization of control of logistic equation [PDF]
, 2011 This research deals with the optimization of the control of chaos by means of evolutionary algorithms. This work is aimed on an explanation of how to use evolutionary algorithms (EAs) and how to properly define the advanced targeting cost function (CF ...
Zelinka, Ivan +3 more
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IoT FOR PREDICTIVE MAINTENANCE OF CRITICAL MEDICAL EQUIPMENT IN A HOSPITAL STRUCTURE
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaPredictive maintenance (PdM) allows the prediction of early failures of medical equipment before they occur. It helps to diagnose the defaults of critical equipment in a hospital structure, namely MRI.
Maroua Guissi +3 more
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Deception in Optimal Control [PDF]
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018 In this paper, we consider an adversarial scenario where one agent seeks to achieve an objective and its adversary seeks to learn the agent's intentions and prevent the agent from achieving its objective. The agent has an incentive to try to deceive the adversary about its intentions, while at the same time working to achieve its objective. The primary
Melkior Ornik, Ufuk Topcu
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The novel application of optimization and charge blended energy management control for component downsizing within a plug-in hybrid electric vehicle [PDF]
, 2012 The adoption of Plug-in Hybrid Electric Vehicles (PHEVs) is widely seen as an interim solution for the decarbonization of the transport sector. Within a PHEV, determining the required energy storage capacity of the battery remains one of the primary ...
James Marco +5 more
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Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography
Sensors, 2023 Wearable exoskeletons can help people with mobility impairments by improving their rehabilitation. As electromyography (EMG) signals occur before movement, they can be used as input signals for the exoskeletons to predict the body’s movement intention ...
Hongyu Zhao +7 more
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Selected Reports of the Group on Simulation, Optimization and Control, 1973-1983
, 2023 The Group on Simulation, Optimization and Control (G-SOC) operated from 1973 to 1983. Co-ordinated by John W. Bandler, its members came from the Departments of Electrical Engineering and Chemical Engineering. Faculty members of G-SOC included Dr.
Bandler, John
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Engineering, 2019 Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene process by improving the performance and the efficiency of reuse of information and knowledge—two critical elements in polyethylene smart manufacturing.
Weimin Zhong +5 more
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Colorimetric Sensing with Gold Nanoparticles on Electrowetting-Based Digital Microfluidics
Micromachines, 2021 Digital microfluidic (DMF) has been a unique tool for manipulating micro-droplets with high flexibility and accuracy. To extend the application of DMF for automatic and in-site detection, it is promising to introduce colorimetric sensing based on gold ...
Zhen Gu +7 more
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