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Titlebook: AsiaSim 2007; Asia Simulation Conf Jin-Woo Park,Tag- Gon Kim,Yun-Bae Kim Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007

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https://doi.org/10.1007/978-3-322-94306-4per. An effective adaptive sliding mode controller is derived to achieve chaos synchronization even when the parameters of the drive and response FHN neurons are fully unknown. An illustrative example is presented for the purpose of verification and illustration.
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,Grundgleichungen der Elastizitätstheorie,ment. A sufficient condition such that this kind of system is asymptotically stable is derived. Furthermore, it is proved that every A-stable BDF method preserves the stable properties of exact solutions for the second order delay differential equations. Finally, some numerical experiments are given to demonstrate the main conclusions.
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Dynamic Control of a Simulator Servo System Using CMAC Controller RBF Identifier-Basedidentifier-based is presented. The controller consists of the RBF identifier, the single neuron PID controller and the CMAC feedforward controller. The RBF neural network is used to identify the model of the plant and adjust the single neuron PID controller’s parameter. The suitable parameter of the
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A Strict LMI Condition for ESPR Property of Continuous-Time Descriptor Systemsscriptor systems is addressed. Compared with existing nonstrict LMI conditions, the proposed conditions are expressed in terms of definite LMIs with no equality constraint, which are more tractable and reliable in numerical computation. A numerical example is demonstrated to verify the theoretical r
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Simulation-Based Procedure for Bottleneck Identificationtarts by running simulation model of existing system to collect data of the utilization of each machine/process and the time between arrivals and departures of each machine/process. Three factors, the machine/process utilization, the process utilization factor (.) and the product bottleneck rate (Rb
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