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Titlebook: Dynamic Systems with Time Delays: Stability and Control; Ju H. Park,Tae H. Lee,Jun Chen Book 2019 Springer Nature Singapore Pte Ltd. 2019

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se for control purposes in various settings.Describes the la. .This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequaliti
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Sonstige Belastungen durch Brauchwassern of event-triggered linear networked control systems are derived by using Lyapunov functional. These criteria are established in the form of linear matrix inequalities. A simulation example is used to demonstrate the effectiveness of the proposed approach.
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Sonstige Belastungen durch Brauchwasserov functional, new delay-dependent synchronization criteria are established to not only guarantee the synchronization between chaotic systems in transmitter and receiver systems but also recover the original message signals. An example is given to illustrate the validity of the proposed method.
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Event-Triggered Control for Linear Networked Systemsn of event-triggered linear networked control systems are derived by using Lyapunov functional. These criteria are established in the form of linear matrix inequalities. A simulation example is used to demonstrate the effectiveness of the proposed approach.
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Akteure, Interessen, Institutionenmmation) inequalities are employed to estimate integral (or summation) terms. Consequently, more relaxed conditions are derived in the forms of linear matrix inequalities. Several numerical examples are presented to show the effectiveness of the proposed approach.
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Sonstige Belastungen durch Brauchwasserlso obtained. The filter parameters are obtained by solving a set of linear matrix inequalities. Two examples, which includes a longitudinal flight system, are given to show the effectiveness of the proposed method.
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Trinkwasser an Bord von Schiffenssipativity. In addition, by solving a set of linear matrix inequalities (LMIs), a suitable filter is designed. In the case of . filtering, it will be shown that the presented method has better filtering performance than the existing methods. The validity of the developed filter design technique is justified by a simulation example.
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