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检索条件"主题词=Quadratic Programming Problems"
26 条 记 录,以下是1-10 订阅
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quadratic programming problems and Its Solution Techniques With Neural Network Modeling
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OPTIMAL CONTROL APPLICATIONS & METHODS 2025年 第2期46卷 766-774页
作者: Sah, Mintu Kumar Varma, Neha Kumar, Sanjay Lalit Narayan Mithila Univ Univ Dept Math Darbhanga India Amity Univ Patna Amity Sch Engn & Technol Patna India
This paper presents a study on quadratic programming problems (QPP) and introduces a new neural network model with feasibility analysis. The stability analysis of QPP using neural network modeling is also discussed. T... 详细信息
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Optimizing quadratic programming problems with intuitionistic fuzzy parameters using a neural network
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 151卷
作者: Rani, Pooja Mahajan, Sumati Punjab Engn Coll Dept Math Chandigarh 160012 India
The integration of intuitionistic fuzzy theory in optimization problems has significantly enhanced the ability to handle complex, uncertain and imprecise scenarios. Despite these advancements, existing models have not... 详细信息
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An improved multi-task least squares twin support vector machine
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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2025年 第1期93卷 21-41页
作者: Moosaei, Hossein Bazikar, Fatemeh Pardalos, Panos M. M. Jan Evangelista Purkyne Univ Usti Nad Labem Fac Sci Dept Informat Usti Nad Labem Czech Republic Univ Bojnord Dept Math Bojnord Iran Univ Guilan Fac Math Sci Dept Appl Math Rasht Iran Univ Florida Ctr Appl Optimizat Dept Ind & Syst Engn Gainesville FL 32611 USA
In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge across tasks in MTL can improve the performance of learning algorithms... 详细信息
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Quasi-Newton approaches to interior point methods for quadratic problems
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2019年 第1期74卷 93-120页
作者: Gondzio, J. Sobral, F. N. C. Univ Edinburgh Sch Math Edinburgh EH9 3FD Midlothian Scotland Univ Estadual Maringa Dept Math Ave Colombo 5790 BR-87020900 Maringa Parana Brazil
Interior point methods (IPM) rely on the Newton method for solving systems of nonlinear equations. Solving the linear systems which arise from this approach is the most computationally expensive task of an interior po... 详细信息
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Throttle Valve Control of Automotive Engine based on Boundary Model
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IFAC-PapersOnLine 2018年 第13期51卷 143-148页
作者: Sato, K. Sadahiro, T. Yamazaki, M. Iwase, M. Department of Robotics and Mechatronics Tokyo Denki University 5 Senju-Asahicho AdachiTokyo120-8551 Japan Department of Mechanical Engineering National Institute of Technology Sasebo College 1-1 Okishin-machi SaseboNagasaki857-1193 Japan
The purpose of this research is to control the automotive engine inside the boundary between the admissible operation domain and the violated admissible operation domain. “Model Following Control” to follow the driv... 详细信息
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Recursive Subspace-based Predictive Control and Its Application to Fault-tolerant Control
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IFAC-PapersOnLine 2018年 第24期51卷 696-702页
作者: Gao, Jingjing Yang, Xu Li, Linlin Luo, Hao Ding, Steven X. Zhang, Kai Peng, Kaixiang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China School of Astronautics Harbin Institute of Technology Harbin150001 China Institute of Automatic Control and Complex Systems Faculty of Engineering University of Duisburg-Essen Duisburg47057 Germany
This paper investigates the data-driven realization of predictive controllers, and its application to fault-tolerant control. With the aid of subspace identification method, the subspace predictor is first derived in ... 详细信息
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Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP
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IFAC-PapersOnLine 2018年 第18期51卷 399-404页
作者: Suwartadi, Eka Jäschke, Johannes Trondheim7491 Norway
We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for ex... 详细信息
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On a conjugate directions method for solving strictly convex QP problem
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MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2017年 第3期86卷 523-548页
作者: Stachurski, Andrzej Warsaw Univ Technol Inst Control & Computat Engn Nowowiejska 15-19 PL-00665 Warsaw Poland
Problem of solving the strictly convex, quadratic programming problem is studied. The idea of conjugate directions is used. First we assume that we know the set of directions conjugate with respect to the hessian of t... 详细信息
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Eigenvalue analysis of structures with interval parameters using the second-order Taylor series expansion and the DCA for QB
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APPLIED MATHEMATICAL MODELLING 2017年 49卷 680-690页
作者: Li, Qi Qiu, Zhiping Zhang, Xudong Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Peoples R China Beijing Univ Aeronaut & Astronaut Inst Solid Mech Beijing Peoples R China Beijing Aerosp Technol Inst Beijing Peoples R China
When the uncertainties in interval parameters are fairly large, the current analysis methods, which are usually based on the information of the first-order partial derivatives of eigenvalues, may not work well for the... 详细信息
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Low Complexity Distributed Model Predictive Control by Using Contractive Sets
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IFAC-PapersOnLine 2017年 第1期50卷 13164-13169页
作者: Grancharova, Alexandra Olaru, Sorin Department of Industrial Automation University of Chemical Technology and Metallurgy Bul. Kl. Ohridski 8 Sofia1756 Bulgaria Laboratory of Signals and Systems CentraleSupélec-CNRS-Université Paris-Sud Université Paris-Saclay 3 Rue Joliot-Curie Gifsur-Yvette Cedex91192 France
In this paper, an approach to low complexity distributed MPC of linear interconnected systems with coupled dynamics subject to both state and input constraints is proposed. The suggested approach is based on the idea ... 详细信息
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