This book provides an introduction for students, engineers and scientists to modern methods for computer simulation of systems involving continuous variables. Professor Murray-Smith draws on his many years of experience in teaching and applying continuous system simulation in engineering and biomedical applications to show his readers both the theory and practice of these techniques. His approach is practical throughout, placing particular emphasis on the use of simulation languages and other software tools widely used in the field. A simple simulation language is provided in disc with the book and used with examples and case studies from control, aeronautical and biomedical engineering to give readers hands-on experience. Commercially available software is also described and applied, and model validation and real time simulation techniques and applications are covered in detail. This book should be of interest to engineers and scientists in most processing and manufacturing industry, and most areas of engineering and physical science.

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.