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Titlebook: Optimization Techniques IFIP Technical Conference; Novosibirsk, July 1– G. I. Marchuk Book 1975 Springer-Verlag Berlin Heidelberg 1975 math

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书目名称Optimization Techniques IFIP Technical Conference
副标题Novosibirsk, July 1–
编辑G. I. Marchuk
视频video
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Optimization Techniques IFIP Technical Conference; Novosibirsk, July 1– G. I. Marchuk Book 1975 Springer-Verlag Berlin Heidelberg 1975 math
出版日期Book 1975
关键词mathematical programming; optimization; techniques
版次1
doihttps://doi.org/10.1007/978-3-662-38527-2
isbn_softcover978-3-662-37713-0
isbn_ebook978-3-662-38527-2Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1975
The information of publication is updating

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A System of Models of Output Renewalocesses as a whole. For these, inherent are certain specific features which, taken together, make possible their representation and analysis with discrete means, and, in particular, the effectiveness of applying models based on different types of graphs.
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A Problem from the Theory of Observabilitya large amount of information about the motion and the dynamics of objects is postulated. In practice, such information is not always accessible because of technical reasons. Perhaps it is for this reason that the theory of observability and of filtration arose inside the control theory.
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Recursive Solutions to Indirect Sensing Measurement Problems by a Generalized Innovations Approachntifying recursively impulse responses and system parameters by using pseudorandom binary sequences as probing inputs is considered. Further, the problem of interpolation and smoothing by splines is approached by the method developed.
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On Optimality Criteria in Identification Problemsltant solution permits estimation of the model adequacy. The criterion and the model structure are selected individually for each model. For complex systems the large number of plant parameter interrelations and of external disturbances make a completely adequate model non-feasible or undesirable. T
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Identification and Control for Linear Dynamic Systems of Unknown Orderosition principle dominating there, makes it widely accessible when developing control systems for different kind of processes. Monographs [1, 2, 3] are devoted to numerous analysis and synthesis problems concerning these systems. In the following an approach is developed to linear dynamic plants co
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