Results 41 to 50 of about 4,363,165 (321)
For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes.
Yurun Wang+5 more
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AbstractThis paper gives a brief historical survey of the development of the theory of the calculus of variations and optimal control, and goes on to review the different approaches to the numerical solution of optimal control problems.
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Discrete Variational Optimal Control
This paper develops numerical methods for optimal control of mechanical systems in the Lagrangian setting. It extends the theory of discrete mechanics to enable the solutions of optimal control problems through the discretization of variational ...
A. Iserles+28 more
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Estimation of travel time reduction for ice-breaking ships when considering ice information data
In light of the recent increase in polar shipping and potential future increase with continued climate change reliable routing in ice-covered waters becomes increasingly important for environmental, economic and safety concerns.
Bernhard Schmitz+3 more
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Optimal and adaptive control of underwater vehicles [PDF]
This article contains a continuous-time optimal and adaptive control scheme for underwater vehicles moving in six degrees of freedom. The control scheme is an extension of the algorithm ofJohansson (1990) and a modification of the algorithm found in ...
Svein I. Sagatun, Rolf Johansson
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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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AbstractIn this paper, we applied the finite differences method to the solution of variational problem of an inverse problem for the Scrödinger equation with a final functional. These types of problems arise in various fields in quantum-mechanical, nuclear physics and modern physics [2, 11].
Yagubov, G, Yildiz, B
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This study explores an obstacle avoidance control approach that takes into account both actuator dead zones and unpredictable disturbances in environments with moving obstacles.
Pengfei Zhang, Yuanpei Ding, Ye Chen
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The increased integration of distributed energy resources (DERs) in the distribution network with intermittent generation profiles will likely make voltage regulation a difficult task.
Jonatan Ralf Axel Klemets+1 more
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A Fast Predictive Control Method for Vehicle Path Tracking Based on a Recurrent Neural Network
The paper introduces a Fast Model Predictive Control (FMPC) approach for vehicle path tracking, addressing the challenge of real-time performance in highly nonlinear systems.
Xialai Wu+3 more
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