By Zheng Nong (auth.), Song Lin, Xiong Huang (eds.)

This two-volume set (CCIS a hundred seventy five and CCIS 176) constitutes the refereed lawsuits of the overseas convention on machine schooling, Simulation and Modeling, CSEM 2011, held in Wuhan, China, in June 2011. The 148 revised complete papers awarded in either volumes have been conscientiously reviewed and chosen from a great number of submissions. The papers conceal matters corresponding to multimedia and its software, robotization and automation, mechatronics, desktop schooling, smooth schooling learn, regulate structures, information mining, wisdom administration, picture processing, verbal exchange software program, database know-how, synthetic intelligence, computational intelligence, simulation and modeling, agent dependent simulation, biomedical visualization, machine simulation & modeling, object-oriented simulation, net and protection visualization, imaginative and prescient and visualization, coupling dynamic modeling conception, discretization process , and modeling technique research.

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Additional info for Advanced Research on Computer Education, Simulation and Modeling: International Conference, CESM 2011, Wuhan, China, June 18-19, 2011. Proceedings, Part II

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Then ρ ( x, t ) is given by normalizing a function σ (t , x) that satisfies the following Duncan-Mortensen-Zakai equation m dσ (t , x) = L0σ (t , x)dt + ∑ Liσ (t , x)dyi (t ), σ (0, x) = σ 0 ( x) . (3) i =1 Where L0 = n n ∂f 1 m 1 n ∂2 ∂ − ∑ fi − ∑ i − ∑ hi2 . ∑ 2 2 i =1 ∂xi i =1 ∂xi i =1 ∂xi 2 i =1 (4) and Li is the zero degree differential operator of multiplication by hi i = 1, 2, ⋅⋅⋅, m. From the robust algorithms proposed by Davis [14], it define a new unnormalized density m u (t , x) = exp(−∑ hi ( x) yi (t ))σ (t , x).

References 1. : New results in linear filtering and prediction theory. Trans. ASME Series D, J. Basic Engineering 83(196), 95–108 2. : An innovations approach to least-squares estimation, Part I: Linear filtering in additive white noise. IEEE Transactions on Automatic Control 13, 646–655 (1986) 3. : An innovations approach to least-squares estimation II. IEEE Transactions on Automatic Control 16, 217–226 (1971) 4. : Stochastic differential equations for the nonlinear filtering problem. Osaka Journal of Mathematics 2, 19–40 (1972) 5.

Calculated by PID controller, output turns to Voltage of 0~10V to control the Frequency Converter, and control Auxiliary Fan. 2kW 3kW motor, MM420 drive large power motor. The settings of G110 Frequency Converter as shown in Table 2. 2 PLC 1M QS 3 Gas SensorT 1 A+ Gas SensorT 2 B+ Gas SensorT 3 C+ 24V(DC) 6 EM235 V0 9 M0 10 MM420 U M V W M 3~ Fig. 6. Water storehouse online table control menu Ċ 1XPEHU RI 3DUDPHWHU Table 2. The G110 Frequency Converter Settings 1DPH RI 3DUDPHWHU 6HWWLQJ ,QVWUXFWLRQ 3 5DWHG YROWDJH 9 3 5DWHG HOHFWULFLW\  8LQW $ 3 5DWHG SRZHU  8LQW N: 3 5DWHG IUHTXHQF\  8LQW +] 3 5DWHG UHYROXWLRQ  8LQW UPLQ 3 6RXUFH RI FRPPDQG  ,QSXW IURP ERDUG 3 6HWWLQJ RI EDQGV  $QDORJ 6HWWLQJ 3 )UHTXHQF\ PLQ  8LQW +] ď Saving Energy Control of Auxiliary Fan 39 7 Conclusion Laboratory simulation proves that local-ventilator energy-saving control system composed of PLC, PID controller, frequency converter runs well and has good reliability.

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