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Numerical Computing with Simulink


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Table of Contents

List of figures; List of tables; Preface; 1, Introduction to Simulink; 2. Linear differential equations, matrix algebra and control systems; 3. Nonlinear differential equations; 4. Digital signal processing in Simulink; 5. Random numbers, white noise and stochastic processes; 6. Modeling a partial differential equation in Simulink; 7. Stateflow - a tool for creating and coding state diagrams, complex logic, event driven actions and finite state machines; 8. Physical modeling - SimPowerSystems and SimMechanics; 9. Putting everything together: using Simulink in a system design process; 10. Conclusion - thoughts about broad based knowledge; Bibliography; Index.

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A tour of the Simulink (R) environment that shows how to develop and test a system model.

About the Author

Richard J. Gran is CEO of The Mathematical Analysis Company, a group of affiliates headquartered in Norfolk, Massachusetts, that develop mathematical models and simulations of complex engineering systems.

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