Titlebook: Supercomputational Science; R. G. Evans,S. Wilson Book 1990 Plenum Press, New York 1990 Approximation.algorithms.dynamics.supercomputer

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书目名称Supercomputational Science影响因子(影响力)




书目名称Supercomputational Science影响因子(影响力)学科排名




书目名称Supercomputational Science网络公开度




书目名称Supercomputational Science网络公开度学科排名




书目名称Supercomputational Science被引频次




书目名称Supercomputational Science被引频次学科排名




书目名称Supercomputational Science年度引用




书目名称Supercomputational Science年度引用学科排名




书目名称Supercomputational Science读者反馈




书目名称Supercomputational Science读者反馈学科排名

PON

R. G. Evans,S. Wilsonis chapter presents three design methods that have proven to be useful in developing output feedback flight control designs in aerospace applications. The first method is called projective control. This method is used to replicate the eigenstructure of a state feedback controller using static and/or

preservative

R. G. Evansse a modification to improve the latter. Often in practice, it is the transient of a tracking controller that defines feasibility of the selected system. Tracking performance during the first few seconds of operation is often more important than its asymptotic behavior. For linear systems, we can qu

报复

R. G. Evans,S. Wilsonbservable dynamical systems with matched uncertainties. The emphasis is on adaptive controllers that operate based on available output feedback signals (measurements), as opposed to state feedback connections. We assume that the number of the system measured outputs (sensors) is no less than the num

eulogize

禁令

Cerebrovascular

John B. Slaternd outliers.Discusses applications to spectrum sensing, clas.This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number

HEPA-filter

V. R. Saundersnd outliers.Discusses applications to spectrum sensing, clas.This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number

越自我

Lydia Heckt two parts introduce the reader to the theory of static and dynamic neural network structures. These parts can be treated as a quick review of already developed and well-documented neural network architectures, giving an insight into their properties and the possibility of their application in cont

断言

S. Wilsont two parts introduce the reader to the theory of static and dynamic neural network structures. These parts can be treated as a quick review of already developed and well-documented neural network architectures, giving an insight into their properties and the possibility of their application in cont