Results 11 to 20 of about 16,805,949 (306)
Learning meaningful controls for fluids [PDF]
ACM Transactions on Graphics, 2021 While modern fluid simulation methods achieve high-quality simulation results, it is still a big challenge to interpret and control motion from visual quantities, such as the advected marker density. These visual quantities play an important role in user interactions: Being familiar and meaningful to humans, these quantities have a strong correlation ...
Mengyu Chu +4 more
openaire +2 more sources
Control of a Quadrotor With Reinforcement Learning [PDF]
IEEE Robotics and Automation Letters, 2017 In this paper, we present a method to control a quadrotor with a neural network trained using reinforcement learning techniques. With reinforcement learning, a common network can be trained to directly map state to actuator command making any predefined control structure obsolete for training. Moreover, we present a new learning algorithm which differs
Hwangbo, Jemin +3 more
openaire +4 more sources
rickstaa/stable-learning-control
, 2023 A framework for training theoretically stable (and robust) Reinforcement Learning control ...
Rick Staa +3 more
core +1 more source
Machine learning and control theory [PDF]
, 2022 We survey in this article the connections between Machine Learning and Control Theory. Control Theory provide useful concepts and tools for Machine Learning. Conversely Machine Learning can be used to solve large control problems. In the first part of the paper, we develop the connections between reinforcement learning and Markov Decision Processes ...
Alain Bensoussan +5 more
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A new adaptive controller of facts-based FMRLC aimed at improving power system stability [PDF]
Serbian Journal of Electrical Engineering, 2008 Various control techniques using Advanced Super-conducting Magnetic Energy Storage (ASMES) aimed at improving power system stability have been proposed. As fuzzy controller has proved its value in some applications, the number of investigations employing
Abdellatif Naceri +2 more
doaj +1 more source
Secure energy efficiency: Power allocation and outage analysis for SWIPT-in-DAS based IoT
ICT Express, 2022 In this paper, we study secure energy efficiency (SEE) for simultaneous wireless information and power transfer (SWIPT) in a distributed antenna system (DAS) based IoT network.
Aaqib Bulla, Shahid M. Shah
doaj +1 more source
Learning Controllers for Industrial Robots [PDF]
Machine Learning, 1996 One of the most significant cost factors in robotics applications is the design and development of real-time robot control software. Control theory helps when linear controllers have to be developed, but it doesn’t sufficiently support the generation of non-linear controllers, although in many cases (such as in compliance control), nonlinear control is
BAROGLIO, Cristina +4 more
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IEEE Access, 2021 A well-designed demand response (DR) program is essential in smart home to optimize energy usage according to user preferences. In this study, we proposed a multiobjective reinforcement learning (MORL) algorithm to design a DR program.
Song-Jen Chen, Wei-Yu Chiu, Wei-Jen Liu
doaj +1 more source
On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control
IFAC-PapersOnLine, 2020 6 pages, 4 figures, 21st IFAC World Congress ...
Poot, M.M., Portegies, Jim, Oomen, Tom
openaire +5 more sources
On the Development of Learning Control for Robotic Manipulators
Robotics, 2017 Learning control for robotic manipulators has been developed over the past decade and to the best of the authors’ knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the ...
Dan Zhang, Bin Wei
doaj +1 more source