obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula relate not only to the steadily increasing tion for a much wider range of conditions than can be contemplated for the real system power of computers and the rapidly falling costs of hardware, but also to the availability because of operating constraints or safety of appropriate software tools in the form of requirements. Similar factors can apply in simulation languages. Problem-oriented lan other fields, such as biomedical systems guages of this kind assist those who are not engineering. specialists in computational methods to trans System simulation, using digital computers, can relate either to models based on continu late a mathematical description into a simula tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag Continuous system simulation techniques are applied to systems described by sets of differ nostic information when difficulties are encountered. Therefore, a simulation lan ential equations and algebraic equations.
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This book deals very seriously with validation - making the book an outstanding one amongst other good introductions to modelling and simulation ... highly recommended as introduction for students, engineers and scientists. But also the experienced simulationist may find valuable hints for solving certain problems. - EUROSIM Simulation News Europe; The style is fluent, and the book is easy to read as a consequence...The text is intended to the mathematically inclined reader with little or no previous experience in computer simulation, and overall it meets its aims, giving a good perspective on simulation technology and on the range of problems with which modelling and simulation can deal. As such it will be useful both to the undergraduate student and also to the technical manager moving into the simulation field for the first time. - Measurement and Control
The principles of modelling. An introduction to simulation methods. Problem organisation for continuous system simulation. The principles of numerical modelling. Sampled-data models and operator methods. The principles of equation-oriented simulation software. The principles of block diagram-oriented simulation tools. Simple examples using common simulation tools. Internal verification and external validation. Case study I - a two-tank liquid level control system. Case study II - an aircraft automatic landing system. Case study III - respiratory gas-exchange process simulation. Case study IV - a simulation model of active skeletal muscle. Real-time simulation. Current trends in continuous system simulation. Appendices. Index.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula relate not only to the steadily increasing tion for a much wider range of conditions than can be contemplated for the real system power of computers and the rapidly falling costs of hardware, but also to the availability because of operating constraints or safety of appropriate software tools in the form of requirements. Similar factors can apply in simulation languages. Problem-oriented lan other fields, such as biomedical systems guages of this kind assist those who are not engineering. specialists in computational methods to trans System simulation, using digital computers, can relate either to models based on continu late a mathematical description into a simula tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag Continuous system simulation techniques are applied to systems described by sets of differ nostic information when difficulties are encountered. Therefore, a simulation lan ential equations and algebraic equations. 272 pp. Englisch. Codice articolo 9781461360667
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