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共 270 条记录，以下是141-150 订阅

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3rd international Joint conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice

3rd International Joint Conference on Computational Sciences...

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3rd international Joint conference on Computational Sciences and Optimization, CSO 2010: Theoretical Development and Engineering Practice

ISBN: (纸本)9780769540306

The proceedings contain 229 papers. The topics discussed include: SSCM-based simulation of stock market: put bounded rational into social and stock environment;analysis of transient electromagnetic field coupling to shielded twisted-pairs;nonlinear numerical simulation to thermo-elastic-plastic creep constitutive equation for concrete subjected to fire;CFD simulation on dense gas-solid flow for blast furnace slag waste heat recovery;dynamic relocating vehicle resources using a microscopic traffic simulation model for carsharing services;a sufficiency and necessity condition on convergence of ishikawa iterative process for asymptotically pseudocontractive mapping;stochastic-combination search direction method for monotone variational inequality problems;comparison of convergence of the modified and relaxed hybrid steepest-descent methods for variational inequalities under different conditions;and travel time reliability-based optimal path finding.

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Optimal design and control of nonlinear structures and mechanical systems

Optimal design and control of nonlinear structures and mecha...

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1st international conference of Maritime Technology and Engineering (MARTECH)

作者： Cardoso, J. B. Valido, A. J. Moita, P. P. Univ Tecn Lisboa Inst Super Tecn Ctr Marine Technol & Engn CENTEC Lisbon Portugal Inst Politecn Setubal ESTSetibal Setubal Portugal

ISBN: (纸本)9780203105184;9780415628914

This paper presents an optimal structural design system based on a variational theory of design sensitivity analysis for linear and nonlinear structures and mechanical systems. So called flexible systems and structures, as well as design and control variables, are treated within a unified frame. The concept of auxiliary system, the principle of virtual work, and a Lagrangean-Eulerian description of the deformations and design variations, are used to develop the unified view point. Finite element and finite difference methods are used for spatial and time discretization of the sensitivity equations. The iso-parametric concept of the finite element formulation is related to the concept of control volume. The concept of design element is used for the design modeling of the structure and to generate the analysis model from the design model. Structural analysis and optimization codes are combined to create an optimal design capability. Optimality criteria methods and nonlinear programming are applied as optimizers. Numerical applications are performed.

关键词： Structural optimization

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LP-based optimal path planning in acceleration space

LP-based optimal path planning in acceleration space

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2006 IEEE international conference on Robotics and Biomimetics, ROBIO 2006

作者： Zu, Di Han, Jianda Tan, Dalong Graduate School Chinese Academy of Science Beijing China Shenyang Institute of Automation Shenyang China

ISBN: (纸本)1424405718

This paper proposed Acceleration Space Linear programming (ASLP) method for the path planning of target pursuit and obstacles avoidance (TPOA) problem in dynamic and uncertain environment. The acceleration space for TPOA problem is defined and LP algorithm is introduced into it. LP is a powerful tool for optimization but exhibits weakness when there exist nonlinear constraints or objective function. In the proposed acceleration space, the constraints and objective function of TOPA problems are inherently described as linear inequalities that can be directly solved by LP. Also, the complexity in obstacle contour does not increase the computational burden of the ASLP. Simulations are conduced with respect to the TPOA scenario including one moving target and multiple moving obstacles. The results obtained by ASLP are presented and compared with those of artificial potential guided evolution algorithm (APEA). Significant superior is demonstrated in many aspects by the comparison. ©2006 IEEE.

关键词： Linear programming

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DSMSI 2023 CAM - Selected Papers of the 20th international Scientific conference "Dynamical System Modeling and Stability Investigation". conference Proceedings. Volume 2: Computer Applied Mathematics

DSMSI 2023 CAM - Selected Papers of the 20th International S...

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20th international Scientific conference on Dynamical System Modeling and Stability Investigation, DSMSI 2023

The proceedings contain 14 papers. The topics discussed include: use of convolutional neural networks for identifying additional features on a digital image of human face;diversification of stock portfolio structure under market restrictions;a mobile facial recognition system based on a set of raspberry technical tools;the regularized operator extrapolation algorithm for variational inequalities;text classification using term co-occurrence matrixod;medical card information system for data analysis from fitness bracelets;quantile-based statistical techniques for anomaly detection;machine learning for remote monitoring of agricultural fields with explosive tunnels;example of chaotic behavior in systems of ordinary differential equations arising in modeling of gene regulatory networks;and a nonlinear autonomous boundary value problem for a non-degenerate differential-algebraic system.

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Stability analysis and H∞ decentralized control for discrete-time nonlinear large-scale systems via fuzzy control approach

Stability analysis and H∞ decentralized control for discret...

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6th international conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Ou, Ou Hui, Qin Zhang, Hongbin College of Information Engineering Chengdu University of Technology Chengdu 610059 China School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9780769537351

This paper is concerned with stability analysis and H∞ decentralized control of discrete-time nonlinear large-scale systems via fuzzy control approach. Each of them consists J interconnected discrete-time nonlinear subsystems. First, the discrete-time nonlinear large-scale system is represented by an equivalent Takagi-Sugeno discrete-time fuzzy large-scale model. Next, based on this fuzzy large-scale model, a sufficient condition on stability of the discrete-time non-linear large-scale system is proposed. Furthermore, H∞ disturbance attenuation performance is analyzed and a state feedback decentralized fuzzy control scheme is developed to override the external disturbances such that the H∞ disturbance attenuation performance is achieved and the stability of the discrete-time nonlinear large-scale systems is also guaranteed. All these results are characterized in terms of a linear matrix inequalities (LMIs), which can be solved efficiently in practice by convex programming technique. The design method is illustrated by application to the problem of balancing double-inverted pendulums system. © 2009 IEEE.

关键词： Fuzzy control

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The minimax design of digital all-pass filters with prescribed pole radius constraint using semidefinite programming (SDP)

The minimax design of digital all-pass filters with prescrib...

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2003 IEEE international conference on Accoustics, Speech, and Signal Processing

作者： Pun, Carson K.S. Chan, S.C. Department of Electrical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong

This paper proposes a new method for designing digital all-pass filters with a minimax design criterion using semidefinite programming (SDP). The frequency specification is first formulated as a set of linear matrix inequalities (LMI), which is a bilinear function of the filter coefficients and the ripple to be minimized. Unlike other all-pass filter design methods, additional linear constraints can be readily incorporated. The overall design problem turns out to be a quasi-convex constrained optimization problem (solved using the SDP) and it can be solved through a series of convex optimization sub-problems and the bisection search algorithm. The convergence of the algorithm is guaranteed. nonlinear constraints such as the pole radius constraint of the filters can also formulated as LMIs using the Rouche's theorem. It was found that the pole radius constraint allows an additional tradeoff between the approximation error and the stability margin in finite wordlength implementation. The effectiveness of the proposed method is demonstrated by several design examples.

关键词： Constraint theory

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Reduced-order output feedback control design with specSDP, a code for linear / nonlinear SDP problems

Reduced-order output feedback control design with specSDP, a...

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5th international conference on Control and Automation, ICCA'05

作者： Thevenet, Jean-Baptiste Apkarian, Pierre Noll, Dominikus MIP Université Paul Sabatier 118 route de Narbonne 31062 Toulouse France ONERA-CERT Control System Department 2 Av. Edouard Belin 31055 Toulouse France

ISBN: (纸本)0780391381

Optimization problems with bilinear matrix inequalities (BMI) constraints arise frequently in automatic control and are difficult to solve due to the inherent non-convexity. The purpose of this paper is to give an overview of the spectral SDP (semidefinite programming) method already presented in [13], along with practical information on how to basically use specSDP, a software designed to solve LMI / BMI-constrained optimization problems, with a linear or quadratic objective function. specSDP is a Fortran code, interfaced with Matlab. It is tested here against several examples of reduced order control problems from the benchmark collection COMPlib [10]. © 2005 IEEE.

关键词： Feedback control

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High-Probability Convergence for Composite and Distributed Stochastic Minimization and variational inequalities with Heavy-Tailed Noise 41

High-Probability Convergence for Composite and Distributed S...

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41st international conference on Machine Learning, ICML 2024

作者： Gorbunov, Eduard Sadiev, Abdurakhmon Danilova, Marina Horváth, Samuel Gidel, Gauthier Dvurechensky, Pavel Gasnikov, Alexander Richtárik, Peter Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates King Abdullah University of Science and Technology Saudi Arabia Moscow Institute of Physics and Technology Russia Université de Montréal Mila Canada Canada CIFAR AI Canada Weierstrass Institute for Applied Analysis and Stochastics Germany University Innopolis Russia Ivannikov Institute for System Programming RAS Russia Skolkovo Institute of Science and Technology Russia

High-probability analysis of stochastic first-order optimization methods under mild assumptions on the noise has been gaining a lot of attention in recent years. Typically, gradient clipping is one of the key algorithmic ingredients to derive good high-probability guarantees when the noise is heavy-tailed. However, if implemented naïvely, clipping can spoil the convergence of the popular methods for composite and distributed optimization (Prox-SGD/Parallel SGD) even in the absence of any noise. Due to this reason, many works on high-probability analysis consider only unconstrained non-distributed problems, and the existing results for composite/distributed problems do not include some important special cases (like strongly convex problems) and are not optimal. To address this issue, we propose new stochastic methods for composite and distributed optimization based on the clipping of stochastic gradient differences and prove tight high-probability convergence results (including nearly optimal ones) for the new methods. In addition, we also develop new methods for composite and distributed variational inequalities and analyze the high-probability convergence of these methods. Copyright 2024 by the author(s)

关键词： Stochastic systems

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Learning and propagating lagrangian variable bounds for mixed-integer nonlinear programming

Learning and propagating lagrangian variable bounds for mixe...

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10th international conference on the Integration of Artificial Intelligence and Operations Research Techniques in Constraint programming, CPAIOR 2013

作者： Gleixner, Ambros M. Weltge, Stefan Zuse Institute Berlin Takustr. 7 14195 Berlin Germany Otto-von-Guericke-Universität Magdeburg Universitätsplatz 2 39106 Magdeburg Germany

ISBN: (纸本)9783642381706

Optimization-based bound tightening (OBBT) is a domain reduction technique commonly used in nonconvex mixed-integer nonlinear programming that solves a sequence of auxiliary linear programs. Each variable is minimized and maximized to obtain the tightest bounds valid for a global linear relaxation. This paper shows how the dual solutions of the auxiliary linear programs can be used to learn what we call Lagrangian variable bound constraints. These are linear inequalities that explain OBBT's domain reductions in terms of the bounds on other variables and the objective value of the incumbent solution. Within a spatial branch-and-bound algorithm, they can be learnt a priori (during OBBT at the root node) and propagated within the search tree at very low computational cost. Experiments with an implementation inside the MINLP solver SCIP show that this reduces the number of branch-and-bound nodes and speeds up solution times. © Springer-Verlag 2013.

关键词： Branch and bound method

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Bi-criteria joint torque minimization of redundant robot arms using LVI-based primal-dial neural network

Bi-criteria joint torque minimization of redundant robot arm...

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7th international conference on Machine Learning and Cybernetics

作者： Zhang, Yu-Nong Zhang, Lei Cai, Bing-Huang Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510275 Guangdong Peoples R China Sun Yat Sen Univ Sch Software Guangzhou 510275 Guangdong Peoples R China

ISBN: (纸本)9781424420957

To diminish the discontinuity and divergence or infinitynorm torque minimization scheme, a bi-criteria weighting scheme is proposed for online redundancy resolution or redundant robot arms. Such a scheme can easily be reformulated into a quadratic program (QP) subject to equality, inequality and bound constraints, To solve this QP problem online, a primal-dual dynamical-sytem solver is further presented based on linear variational inequalities (LVI). Compared to previous research work, the adopted QP-solver has simple piecewise-linear dynamics, and does not entail real-time matrix. inversion. Computer simulations are performed based on a PUMA560 manipulator to verify the performance and effectiveness or Lite propose torque-optimization method.

关键词： bi-criteria torque minimization (BCTM) quadratic programming (QP) LVI-based primal-dual neural network joint physical limits PUMA560 manipulator

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