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Xia Wang - One of the best experts on this subject based on the ideXlab platform.

  • the multi attribute grey target decision method for attribute value within three Parameter Interval grey number
    Applied Mathematical Modelling, 2012
    Co-Authors: Dang Luo, Xia Wang
    Abstract:

    Abstract Based on the grey system theory and methods, the grey-target decision-making problem is discussed, in which the attribute values are grey numbers and the maximum probability of the value of grey number is known. Firstly, the optimal effect vector is the positive bull’s-eye and positive bull’s-eye distance of each scheme is defined. Subjectively or objectively weighting method is integrated to determine the index weight and integrated optimization model of index weight is established. Finally, the critical effect vector is the negative bull’s-eye and negative bull’s-eye distance of each scheme is defined, then relative bull’s-eye distance and comprehensive the bull’s-eye distance of grey target decision-making are given. An example is also presented to illustrate the usefulness and effectiveness of the methods obtained in this paper and provides a new idea for grey target decision-making method research.

Dang Luo - One of the best experts on this subject based on the ideXlab platform.

  • the multi attribute grey target decision method for attribute value within three Parameter Interval grey number
    Applied Mathematical Modelling, 2012
    Co-Authors: Dang Luo, Xia Wang
    Abstract:

    Abstract Based on the grey system theory and methods, the grey-target decision-making problem is discussed, in which the attribute values are grey numbers and the maximum probability of the value of grey number is known. Firstly, the optimal effect vector is the positive bull’s-eye and positive bull’s-eye distance of each scheme is defined. Subjectively or objectively weighting method is integrated to determine the index weight and integrated optimization model of index weight is established. Finally, the critical effect vector is the negative bull’s-eye and negative bull’s-eye distance of each scheme is defined, then relative bull’s-eye distance and comprehensive the bull’s-eye distance of grey target decision-making are given. An example is also presented to illustrate the usefulness and effectiveness of the methods obtained in this paper and provides a new idea for grey target decision-making method research.

  • decision making methods with three Parameter Interval grey number
    Systems Engineering - Theory & Practice, 2009
    Co-Authors: Dang Luo
    Abstract:

    Abstract Based on grey system theory, the decision-making problem is discussed, in which the attribute values are Interval grey numbers and maximum probability of the value of grey number is known. Firstly, three-Parameter Interval grey number is defined, and the method of three-Parameters grey Interval incidence degree is presented by using the characteristic of this kind of grey number and the advantage of classical grey incidence decision making. Secondly, considering the proximity and comparability of space position and geometry shape among every scheme's effect-evaluation vector, ideal project, and critical project, we construct the three-Parameter grey Interval slope incidence coefficient formula. Integrated with the above, the three-Parameter grey Interval incidence coefficient formula, the method of the grey Interval synthesis close degree is given. Finally, by using the analytical technique of the expectation value of three-Parameter Interval grey numbers and projecting pursuit algorithm, the projection attribute function method is introduced. In addition, the corresponding algorithms of the above three methods are given. An example is used to demonstrate the rationality and validity of the proposed decision-making algorithms. A new approach is provided for the grey decision-making theory and its application.

Boutaib Dahhou - One of the best experts on this subject based on the ideXlab platform.

  • Faults isolation in intensified continuous HEX reactor with Parameter uncertainties
    2015
    Co-Authors: Mei Zhang, Boutaib Dahhou, Michel Cabassud
    Abstract:

    This paper deals with sensor and process fault detection , isolation (FDI) and identification of an intensified heat-exchanger/reactor. Extended high gain observers are adopted for identifying sensor faults and guaranteeing accurate dynamics since they can simultaneously estimate both states and uncertain Parameters. Uncertain Parameters involve overall heat transfer coefficient in this paper. Meanwhile, in the proposed algorithm, an extended high gain observer is fed by only one measurement. In this way, observers are allowed to act as soft sensors to yield healthy virtual measures for faulty physical sensors. Then, healthy measurements , together with a bank of Parameter Interval filters are processed, aimed at isolating process faults and identifying faulty values. Effectiveness of the proposed approach is demonstrated on an intensified heat-exchanger/ reactor developed by the

  • Multi-Parameters fault isolation using vertex algorithm
    2013
    Co-Authors: Boutaib Dahhou, Zhe Wang
    Abstract:

    Parameter Interval calculation has been used for fault isolation, but the verification of multi-Parameter Interval is difficult for multi-Parameter fault. To check a multi-Parameter Interval whether contains the Parameter vector value of the faulty system, the vertex algorithm can be used when the isotonic condition is satisfied, and then the calculation is greatly simplified. For the systems which does not satisfy isotonic condition, the vertex algorithm can also be used by means of observer technique when the required system states are measurable. This paper presents the fault isolation method using vertex algorithm for multi-Parameter fault.

  • Study on the Parameters estimation based on Interval observer
    2012
    Co-Authors: Zhe Wang, Boutaib Dahhou
    Abstract:

    The method using Interval observers to estimate Parameters have been verified in linear system and simple nonlinear cooperative system (elements of Jacobian matrix on the non-diagonal are non-negative). We can see the concept about cooperative system in references, but it has some limitations for reality system. This paper tries to use Interval observer method for more general nonlinear system which is not a cooperative system. The Jacobian matrix of the observer can meet the condition of cooperative system by properly choosing the gain of the observer, hence the observer becomes a monotonic observer. By using this method, one can determine whether the Parameter Interval contains the value of the system Parameter. The feasibility of this idea is illustrated by the simulation example using a nonlinear dynamic system model.

  • Sensor and Actuator Fault Isolation Using Parameter Interval based Method for Nonlinear Dynamic Systems
    2010
    Co-Authors: Boutaib Dahhou, Gilles Roux, Jing Yang, Cuixia Zhang
    Abstract:

    Fault isolation problem for sensor and actuator in nonlinear dynamic systems is studied. Parameter Interval based fault isolation method has fast isolation speed and fits many kinds of nonlinear dynamic systems. This method is extended to the isolation of sensor fault and actuator fault. The example shows good performance.

  • Nonlinear dynamic system sensor fault isolation using Parameter Interval based method
    2010
    Co-Authors: Boutaib Dahhou, Cuixa Zhang
    Abstract:

    Parameter Interval based fault isolation method has fast isolation speed and fits many kinds of nonlinear dynamic systems. In this paper, this method is extended to sensor fault isolation problem for nonlinear dynamic systems. The example shows good performance of this method for sensor fault isolation.

Boutaieb Dahhou - One of the best experts on this subject based on the ideXlab platform.

Zetao Li - One of the best experts on this subject based on the ideXlab platform.