Results 51 to 60 of about 26,525,584 (210)
Model predictive control, MPC, is a model-based control philosophy that select control actions by online optimization of objective functions. Design methods based on MPC have found wide acceptance in industrial process control applications, and have been thoroughly studied by the academia.
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This paper proposes a motor parameter-free predictive current control of synchronous motor drives. In the context of motor parameter-free controls, the distinctive feature proposed in this paper is the use of the discrete space vector modulation ...
Silverio Bolognani +3 more
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Pricing European options : a model-free approach [PDF]
>Magister Scientiae - MScThis paper focuses on the newly revived interest to model free approach in finance. Instead of postulating some probability measure it emerges in a form of an outer-measure.
Nkosi, Siboniso Confrence
core
A Model-Free Online Learning Control for Attitude Tracking of Quadrotors
This paper investigates the problem of attitude tracking in quadrotor unmanned aerial vehicles (UAVs) using a model-free online learning control (MFOLC) scheme.
Lining Tan +3 more
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Model-Free RL or Action Sequences?
The alignment of habits with model-free reinforcement learning (MF RL) is a success story for computational models of decision making, and MF RL has been applied to explain phasic dopamine responses (Schultz et al., 1997), working memory gating (O'Reilly
Adam Morris, Fiery Cushman
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The State of Tobacco Control in Ireland: HSE Tobacco Free Ireland Programme, 2018 [PDF]
Ireland has a strong track record in tobacco control. Progress has been made in tackling harm caused by smoking through a comprehensive range of efforts across pricing, legislation, public education & warnings, and treatment services.
HSE Tobacco Free Ireland Programme +2 more
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The effective operation of model-based control strategies in modern energy systems, characterized by significant complexity, is contingent upon highly accurate large-scale models.
Arman Fathollahi, Björn Andresen
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Model-Free Controller Designs for a Magnetic Micromanipulator
Abstract An optimal model-free controller and a linear controller are designed and applied to a horizontal magnetic micromanipulator for controlling microparticles in a liquid environment. An input–output relation based model for the magnetic micromanipulator is obtained, verified, and used in the analysis of controllers.
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Value constrained model-free continuous control
The naive application of Reinforcement Learning algorithms to continuous control problems -- such as locomotion and manipulation -- often results in policies which rely on high-amplitude, high-frequency control signals, known colloquially as bang-bang control.
Steven Bohez +5 more
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The integration of renewable energy systems into modern buildings is essential for enhancing energy efficiency, reducing carbon footprints, and advancing intelligent energy management.
Panagiotis Michailidis +2 more
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