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检索条件"任意字段=International Conference on Nonlinear Programming and Variational Inequalities"

共 270 条记录，以下是111-120 订阅

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Checking existence of tolerance solutions of interval linear equations via mixed integer progrmming

Checking existence of tolerance solutions of interval linear...

引用

3rd international conference on Manufacturing Science and Engineering (ICMSE 2012)

作者： Wang, Huping Li, Wei Wang, Qin Zhao, Zhili Hangzhou Dianzi Univ Inst Operat Res & Cybernet Hangzhou 310018 Zhejiang Peoples R China China Jiliang Univ Coll Sci Hangzhou 310018 Peoples R China

ISBN: (纸本)9783037853726

An approach to deal with interval linear equations is to reduce the problem into solving several linear (or nonlinear) equations (or inequalities). To obtain characterations of the equations the paper gives a necessary condition of tolerance solutions of interval linear equations by means of nonlinear inequalities. Based on the necessary condition, a sufficience condition for nonexistence of tolerance solutions of the equations is given by use of the well-known Farkas theorem.

关键词： Interval linear equations 0-1 mixed integer programming tolerance solutions Farkas theorem

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Robust Predictive Control for Uncertain Time-delay Systems with nonlinear Disturbance

Robust Predictive Control for Uncertain Time-delay Systems w...

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2nd international conference on Mechatronics and Intelligent Materials (MIM 2012)

作者： Zhao, Jiacheng Su, Chengli Li, Ping Liaoning Shihua Univ Coll Informat & Control Engn Fushun 113001 Liaoning Peoples R China Liaoning Shihua Univ Fushun 113001 Liaoning Peoples R China

ISBN: (纸本)9783037853849

Based on predictive control principle of receding optimization, the infinite time domain "min-max" optimization problems are converted into convex programming problems by Lyapunov stable theory and linear matrix inequality (LMI). The sufficient conditions for the robust stability of the uncertain time-delay system are given. Finally, the simulation results illustrate the effectiveness of the proposed methods.

关键词： Linear matrix inequalities (LMIs) nonlinear uncertainty time-delay

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Positive observation of Takagi-Sugeno systems

Positive observation of Takagi-Sugeno systems

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international conference on Methods and Models in Automation and Robotics (MMAR)

作者： Ines Zaidi Fernando Tadeo Mohamed Chaabane Abdellah Benzaouia Cadi Ayyad University Morocco University of Valladolid Spain University of Sfax Tunisia

This paper presents conditions for design of observers for nonlinear systems represented by a Takagi-Sugeno-type model, whose state variables take only nonnegative values at all times t for any nonnegative initial state (positive systems). The derived observers have a Takagi-Sugeno structure and ensure the nonnegativity of the observed states. The conditions are derived as Linear programming and Linear Matrix inequalities, and tested on a simulated practical problem.

关键词： Educational institutions Observers Takagi-Sugeno model nonlinear systems Linear programming Linear matrix inequalities

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A Filled Function Method for Solving variational Inequality Problems

A Filled Function Method for Solving Variational Inequality ...

引用

international conference on Control Engineering and Communication Technology (ICCECT)

作者： Liuyang Yuan Zhongping Wan Jiawei Chen School of Mathematics and Statistics Wuhan University Wuhan Hubei P.R. China

In this paper a filled function method is suggested for solving finite dimensional variational inequality problems over sets defined by systems of equalities and inequalities. Firstly, based on the Karush-Kuhn-Tucker (KKT) conditions of the variational inequality problems, the original problem is converted into a corresponding constrained optimization problem. Subsequently, a new filled function with one parameter is proposed for solving the constrained optimization problem. Some properties of the filled function are studied and discussed. Finally, an algorithm based on the proposed filled function for solving variational inequality problems is presented. The implementation of the algorithm on several test problems is reported with numerical results.

关键词： Optimization Linear programming Approximation algorithms Equations Educational institutions Minimization Vectors

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nonlinear robust state feedback control of uncertain polynomial discrete-time systems: An integral action approach

Nonlinear robust state feedback control of uncertain polynom...

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international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Shakir Saat Sing Kiong Nguang Jie Wu Guangbo Zeng Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand School of Electrical Power South China University of Technology Guangzhou China

This paper examines the problem of designing a nonlinear robust state feedback controller for uncertain polynomial discrete-time systems. In general, this is a challenging controller design problem due to the fact that the relation between Lyapunov function and the control input is not jointly convex, hence, this problem cannot be solved by a semidefinite programming (SDP). In this paper, a novel approach is proposed, where an integral action is incorporated into the controller design so that a convex solution to the problem can be rendered. Based on the sum of squares (SOS) approach, sufficient conditions for the existence of a nonlinear state feedback controller for polynomial discrete-time systems are given in terms of solvability of polynomial matrix inequalities (PMIs), which can be solved by the recently developed SOS solver. Numerical examples are provided to demonstrate the validity of this integral action approach.

关键词： Polynomials State feedback Symmetric matrices Lyapunov methods Discrete-time systems Linear matrix inequalities Vectors

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On the LVI-based numerical method (E47 algorithm) for solving quadratic programming problems

On the LVI-based numerical method (E47 algorithm) for solvin...

引用

2011 IEEE international conference on Automation and Logistics, ICAL 2011

作者： Zhang, Yunong Fu, Senbo Zhang, Zhijun Xiao, Lin Li, Xuezhong School of Information Science and Technology Sun Yat-sen University Guangzhou 510006 China School of Software Sun Yat-sen University Guangzhou 510006 China

ISBN: (纸本)9781457703010

In this paper, a numerical method (termed, E47 algorithm) based on linear variational inequalities (LVI) is presented and investigated to solve quadratic programming (QP) problems which are simultaneously subject to linear equality, inequality and bound constraints. Note that such constrained QP problems can be equivalent to linear variational inequalities and then to piecewise-linear projection equations (PLPE). The E47 algorithm is then adapted to solving the resultant PLPE, and thus the optimal numerical solutions to the QP problems are obtained. In addition, the global linear convergence of such an E47 algorithm is proved. The numerical comparison results between such an E47 algorithm and the active set algorithm are further provided. The efficacy and superiority of the presented E47 algorithm for QP solving are substantiated. © 2011 IEEE.

关键词： Quadratic programming

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A New Method for Solving variational inequalities Problem

A New Method for Solving Variational Inequalities Problem

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international conference on Computer Science and Education (CSE 2011)

作者： Sun, Hai China W Normal Univ Coll Math & Informat Nanchong 637002 Sichuan Peoples R China

In this paper, some properties of the filled function are given without Lipchitz continuity. Further, we propose a new algorithm by filled function method. The implementation of the algorithm on several test problems ... 详细信息

ISBN: (纸本)9783642224171

关键词： nonlinear complementarity variational inequality Algorithm Gap function Monotone mapping

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Minimum-effort redundancy resolution of robot manipulators unified by quadratic programming

Minimum-effort redundancy resolution of robot manipulators u...

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2011 IEEE international conference on Automation and Logistics, ICAL 2011

作者： Li, Kene Zhang, Yunong Guangzhou 510006 China

ISBN: (纸本)9781457703010

This paper presents the latest result that the minimum-effort redundancy resolution of robot manipulators with joint physical limits is unified into a quadratic-programming (QP) problem formulation with different coefficient matrices and vectors defined for different schemes. Such a general QP formulation is subject to equality, inequality and bound constraints, simultaneously. Motivated by the realtime solution to such robotic inverse-kinematics problems, the standard QP optimization routines and primal-dual neural network based on linear variational inequalities (due to its simple piecewise-linear dynamics and higher computational efficiency) are investigated in this paper. The QP-based unification of robots' redundancy resolution is substantiated by a number of computer-simulations of PUMA560, PA10, and planar arms. © 2011 IEEE.

关键词： Quadratic programming

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Task space control of grasped object in the case of multi-robots cooperating system

Task space control of grasped object in the case of multi-ro...

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5th international conference on Integrated Modeling and Analysis in Applied Control and Automation (IMAACA 2011)

作者： Khadraoui, A. Mahfoudi, C. Zaatri, A. Djouani, K. Univ Larbi Ben MHidi Inst Mech Ain Beida Algeria Univ Mentouri Inst Mech Constantine Algeria Univ Paris 12 LISSI Lab Creteil France

ISBN: (纸本)9788890372476

This paper deals with multi-robots grasping problem. We present an optimal force distribution strategy for holding and manipulating objects by multiples manipulators. The force distribution issue is formulated in terms of a nonlinear programming problem under equality and inequality constraints. In particular, the friction constrains are transformed from non linear inequalities into a combination of linear equalities and linear inequalities. As a result, the original nonlinear constrained programming problem is then transformed into a quadratic optimization problem. The dynamical model of multi-robot cooperation has been used for determining force control distribution through proportional derivative (PD) controller. Simulation has been performed and some results are presented and discussed.

关键词： dynamic modeling and control friction constraints grasping Multi-robots cooperation optimal force distribution quadratic programming

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programming Problems with a Large Number of Objective Functions

Programming Problems with a Large Number of Objective Functi...

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international conference on Numerical Methods and Applications

作者： Resteanu, Cornel Trandafir, Romica Natl Inst Res & Dev Informat 8-10 Averescu Ave Bucharest 011455 1 Romania Tech Univ Civil Engn Bucharest 020396 Romania

ISBN: (纸本)9783642184659

The paper treats the Multi-Objective programming problem with a large composite set of (linear and nonlinear) objective functions, the domain of feasible solutions being defined by a set of linear equalities/inequalities representing a large scale problem. One constructs a preferred solution i.e. a non-dominated solution chosen via extending the decision-making framework. A feasible approach, for this class of problems, is to use a solver for the Linear programming problems and a solver for Multiple Attribute Decision Making problems in combination with Parallel and Distributed Computing techniques based on a GRID configuration.

关键词： Multi-Objective programming Large Scale Problems Multiple Attribute Decision Making Parallel and Distributed Computing GRID Nets

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