增加对不确定因素影响的物体状态矢量评估过程的粗糙度

U. Mamirov
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引用次数: 0

摘要

给出了在不确定因素影响下增加控制对象状态向量评估过程粗糙度的算法。得到了扩展状态向量和观测值的表达式。给出了具有最大秩左右零因子分配的非退化分块矩阵的稳定反演算法。所提出的稳定计算过程使我们能够正则化自适应控制系统中调节器参数估计算法的综合问题,并在参数不确定性条件下改善控制过程的质量指标
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INCREASING THE ROUGHNESS OF THE PROCEDURE FOR EVALUATING A VECTOR OF THE CONDITION OF OBJECTS TO THE INFLUENCE OF UNCERTAINTY FACTORS
Algorithms for increasing the roughness of the procedure for assessing the state vector of control objects to the influence of uncertainty factors are given. Expressions are obtained for extended state vectors and observations. Stable inversion algorithms are given for a nondegenerate block matrix with the allocation of its left and right zero divisors of maximum rank. The presented stable computational procedures allow us to regularize the problem of synthesis of algorithms for estimating the parameters of regulators in adaptive control systems with a customizable model and to improve the quality indicators of control processes under conditions of parametric uncertainty
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