Academic literature on the topic 'Simulation of dynamic systems'

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Journal articles on the topic "Simulation of dynamic systems"

1

Alzbutas, R., and V. Janilionis. "THE SIMULATION OF DYNAMIC SYSTEMS USING COMBINED MODELLING." Mathematical Modelling and Analysis 5, no. 1 (2000): 7–17. http://dx.doi.org/10.3846/13926292.2000.9637123.

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The new approach to the problems of dynamic systems simulation is proposed. The analytical and imitation modelling of non‐linear complex dynamic systems which comprise simulation of continuous and discrete processes with constant and variable parameters, are investigated. The aggregate mathematical modelling scheme [1] and the method of control sequences for discrete systems specification and simulation are used as well as the dynamic mathematical modelling scheme for continuous process formalization and modelling. According to them the investigated systems are presented as the set of interact
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2

Rükgauer, A., and W. Schiehlen. "Simulation of modular dynamic systems." Mathematics and Computers in Simulation 46, no. 5-6 (1998): 535–42. http://dx.doi.org/10.1016/s0378-4754(98)00082-2.

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3

Toby, Sidney, and Frina S. Toby. "The Simulation of Dynamic Systems." Journal of Chemical Education 76, no. 11 (1999): 1584. http://dx.doi.org/10.1021/ed076p1584.

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4

Alzbutas, Robertas, and Vytautas Janilionis. "Dynamic systems simulation using APL2." ACM SIGAPL APL Quote Quad 29, no. 2 (1998): 20–25. http://dx.doi.org/10.1145/379277.312699.

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5

Nishitani, Hirokazu, Eiichi Kunugita, Yuan-Chen Wan, and Masahiro Kujime. "Dynamic simulation of large systems." KAGAKU KOGAKU RONBUNSHU 17, no. 1 (1991): 149–56. http://dx.doi.org/10.1252/kakoronbunshu.17.149.

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6

Skelton, Robert E., Fa Ming Li, and Mauricio de Oliveira. "Optimal Simulation for Large Dynamic Systems." Advances in Science and Technology 56 (September 2008): 147–53. http://dx.doi.org/10.4028/www.scientific.net/ast.56.147.

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Like most engineering design problems, simulation design for large dynamic systems should seek a trade- o® between performance and cost. Here the perfor- mance is de¯ned by simulation accuracy; and the cost is related to computational resource, measured by the total wordlength. The simulation accuracy depends on model complexity, model realization and computational implementation. The optimal simula- tion problem is to determine all these factors to en- sure desired accuracy with available computational resource. When computational cost is the primary concern, one can minimize the computationa
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7

Bhatti, Muhammad Akram, Li Chang Xi ., and Ye lin . "Modeling and Simulation of Dynamic Systems." Journal of Applied Sciences 6, no. 4 (2006): 950–54. http://dx.doi.org/10.3923/jas.2006.950.954.

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8

Deckmann, S. M., V. F. da Costa, and D. A. Alves. "Dynamic Simulation for Interconnected Power Systems." IFAC Proceedings Volumes 18, no. 7 (1985): 261–68. http://dx.doi.org/10.1016/s1474-6670(17)60444-0.

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9

Lubachevsky, Boris D. "Fast simulation of multicomponent dynamic systems." Bell Labs Technical Journal 5, no. 2 (2002): 134–56. http://dx.doi.org/10.1002/bltj.2227.

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10

Rosenberg, Ronald C., Joseph Whitesell, and John Reid. "Extendible simulation software for dynamic systems." SIMULATION 58, no. 3 (1992): 175–83. http://dx.doi.org/10.1177/003754979205800307.

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