Results 31 to 40 of about 22,276,625 (298)
Summary: This paper provides a framework for deriving necessary conditions, in the form of a maximum principle, for minimax optimal control problems. The distinguishing feature of these problems is that the data depends on a vector \(\alpha\) of unknown parameters, and ``optimality'' is defined on a worst case basis, as \(\alpha\) ranges over the ...
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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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INTRODUCTION Classical and Modern Control Optimization Optimal Control Historical Tour About This Book Chapter Overview Problems CALCULUS OF VARIATIONS AND OPTIMAL CONTROL Basic Concepts Optimum of a Function and a Functional The Basic Variational ...
D. Naidu, S. Naidu, R. Dorf
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Optimal control and inverse optimal control by distribution matching [PDF]
Optimal control is a powerful approach to achieve optimal behavior. However, it typically requires a manual specification of a cost function which often contains several objectives, such as reaching goal positions at different time steps or energy efficiency.
Arenz, O., Abdulsamad, H., Neumann, G.
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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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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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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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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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ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
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