Results 291 to 300 of about 1,613,291 (363)

A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

IEEE Sensors Journal, 2021
Over the past twenty years, numerous research outcomes have been published, related to the design and implementation of soft sensors. In modern industrial processes, various types of soft sensors are used, which play essential roles in process monitoring,
Yuchen Jiang, Shen Yin, Jingwei Dong, O. Kaynak   +3 more
semanticscholar   +1 more source

Power Control and Optimization for Power Loss Reduction Using Deep Learning in Microgrid Systems

Electric power components and systems, 2023
The effective management of microgrids, which incorporate DERs such as generators and batteries, is crucial for ensuring stability and efficiency in the power system. By evenly distributing the load across modules’ capabilities, frequencies, and voltages,
P. Babu, Javanna Latheef, M. Iqbal, S. Priyanka, M. J. Reddy, G. Kumar, Rajaram Ayyasamy, E. Department   +7 more
semanticscholar   +1 more source

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Neural Information Processing Systems, 2023
While large-scale unsupervised language models (LMs) learn broad world knowledge and some reasoning skills, achieving precise control of their behavior is difficult due to the completely unsupervised nature of their training. Existing methods for gaining
Rafael Rafailov, Archit Sharma, E. Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn   +5 more
semanticscholar   +1 more source

Galerkin Optimal Control

Journal of Optimization Theory and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Randy Boucher, Wei Kang 0001, Qi Gong
openaire   +2 more sources

Control and optimization

Mathematical Modelling of the Human Cardiovascular System, 2019
Optimization - Ideas and Background Optimal Control Models Convexity, Linearization, Multipliers Optimality Conditions for Control Problems Worked Examples of Control Problems Algorithms for Control Problems Proof of Pontryagin Theory and Related ...
B. Craven
semanticscholar   +1 more source

A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Structural And Multidisciplinary Optimization, 2022
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision- and policy-making, and more, by comprehensively
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, B. Youn, Michael D. Todd, S. Mahadevan, Chao Hu, Zhen Hu   +9 more
semanticscholar   +1 more source

Optimal control with limited controls

2006 American Control Conference, 2006
We consider a linear discrete-time optimal control problem where the control is limited in terms of the number of times it can be applied. We assume an additive quadratic performance criterion that does not penalize the control directly, and show that for a scalar plant driven by an independent additive Gaussian noise the optimal control is piecewise ...
Orhan C. Imer, Tamer Basar
openaire   +1 more source

Adaptive Control and Optimization of Mobile Manipulation Subject to Input Saturation and Switching Constraints

IEEE Transactions on Automation Science and Engineering, 2019
In this paper, a hierarchical hybrid motion/force control architecture for the manipulation and grasping of mobile manipulators is presented, where the systems are subject to varieties of physical constraints such as Coulomb friction cones, nonholonomic ...
Ting Zhao, Yueyue Liu, Zhijun Li, C. Su, Ying Feng   +4 more
semanticscholar   +1 more source

Optimal Control by Dynamic Controllers

Automation and Remote Control, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabasov, R., Kirillova, F. M., Pavlenok, N. S.   +2 more
openaire   +2 more sources

A Digital Twin-Based Approach for Quality Control and Optimization of Complex Product Assembly

International Conference on Artificial Intelligence and Advanced Manufacturing, 2019
To address the problems caused by low ability of quality analysis and decision-making in the process of complex product assembly, in this paper, we proposed a digital twin-based approach for quality control and optimization of complex product assembly ...
Yuanye Ma, Hang Zhou, Honghong He, Guotao Jiao, Sha Wei   +4 more
semanticscholar   +1 more source