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首页> 外文期刊>International Journal of Intelligent Systems and Applications >Identification of Parametrical Restrictions in Staic Systems in Conditions of Uncertainty
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Identification of Parametrical Restrictions in Staic Systems in Conditions of Uncertainty

机译:不确定条件下静态系统中参数约束的识别

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摘要

The approach to an estimation of area of parametrical restrictions (APR) for static linear system on parameters in the conditions of uncertainty is of-fered. For decision-making indicators of domination of an exit of model over an exit of system and the special indicator setting admissible level of errors of domination are used. The case of the representation of area of restrictions in the form of boundaries from below and from above on a modification of parameters of system is considered. The iteration algorithm of identification of restrictions and decision-making is offered. The adaptive algorithm of an estimation of boundaries of area of parametrical restrictions is synthesized. Procedure of estimation APR on the basis of the analysis of a field of secants of system is described. Method development on a case of representation APR in the form of restriction on norm of a modification of parameters of system is given. Various forms of vectorial norms and algorithms of construction of area of parametrical restrictions corresponding to them are considered.
机译:在不确定性条件下,提供了一种基于参数的静态线性系统参数约束面积(APR)估计方法。对于决策模型,模型的出口在系统出口上处于支配地位,并且使用特殊的指标设置来控制支配误差水平。考虑在系统参数的修改中从下方和从上方以边界形式表示限制区域的情况。提供了约束识别和决策的迭代算法。合成了参数约束区域边界估计的自适应算法。描述了基于系统割线领域的分析来估计APR的过程。以限制系统参数修改范数的形式表示APR的情况下的方法开发。考虑了各种形式的矢量规范以及与之对应的构造参数约束区域的算法。

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