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Download AsiaSim 2007: Asia Simulation Conference 2007, Seoul, Korea, by Jin Woo Park, Tag-Gon Kim, Yun-Bae Kim PDF

By Jin Woo Park, Tag-Gon Kim, Yun-Bae Kim

This ebook comprises chosen papers of the Asia Simulation convention 2007, held in Seoul, Korea, October 10-12, 2007.

The forty two revised complete papers provided have been rigorously reviewed and chosen from a hundred and twenty submissions; after the convention, the papers went via one other around of revision. The papers are geared up in topical sections on production, Numerical Simulation I, basic software, Agent dependent Simulation, Aero area, approach Dynamics, Numerical Simulation II, net established Simulation, normal Engineering, Logistics Simulation, Simulation and AI, Simulation instruments, Statistical tools, healthiness Care/Education in addition to technique.

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Extra resources for AsiaSim 2007: Asia Simulation Conference 2007, Seoul, Korea, October 10-12, 2007, Proceedings (Communications in Computer and Information Science)

Sample text

In section 5, we conclude with some remarks. 2 MIDP Record Management System (RMS) Memory in handheld devices is being used for implementing applications and storing persistent data to retrieve them later. rms is used for handling data storage where small memory is available in the cell phones and pagers. The Java RMS package for wireless devices consists of two classes, three interfaces and five exceptions [10, 11]. Record store names are case sensitive and can be up to 32 characters in Java RMS.

Although there have been some successful applications of fuzzy logic control, it still has some drawbacks in the design procedure. For example, the fuzzy control rules are often experience-oriented and suitable membership functions should be given by time-consuming trial-and-error procedures. Besides, the dynamic behavior of control system cannot be specified precisely. In recent years, some chaos synchronization based on fuzzy system has been proposed [15]. -W. -G. -B. ): AsiaSim 2007, CCIS 5, pp.

Eq. (7) can also be formulated as n +1 e n +1 = − ∑ c j e j (8) j =1 with the initial condition en +1 (0) = e0( n +1) , and the sliding mode dynamics can be described by the following system of equations: ei = ei +1 ; 1 ≤ i ≤ n n +1 (9) en+1 = − ∑ c j e j j =1 or in a matrix equation form as ⎡ 0 ⎢ 0 ei = ⎢ ⎢ ⎢ ⎣− c1 1 0 0 1 − c2 0 0 ⎤ 0 ⎥⎥ e = Ai e i ; 1 ≤ i ≤ n + 1 ⎥ i ⎥ − cn+1 ⎦ with the initial states being ei (0) = [e0(1) e0( 2) (10) e0( n+1) ] T . The design parameters c j can be determined by choosing the eigenvalues of Ai such that the corresponding characteristic polynomial Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization P(e) = en+1 + 39 n +1 ∑c je j j =1 (11) is Hurwitz.

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