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Produktbild: Klee, H: Simulation of Dynamic Systems with MATLAB and Simul

Klee, H: Simulation of Dynamic Systems with MATLAB and Simul

Fr. 198.00

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.02.2011

Abbildungen

765 black & white illustrations, 68 black & white tables

Verlag

Taylor & Francis

Seitenzahl

815

Maße (L/B/H)

25.7/18.3/4.2 cm

Gewicht

1654 g

Auflage

2 Revised edition

Sprache

Englisch

ISBN

978-1-4398-3673-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.02.2011

Abbildungen

765 black & white illustrations, 68 black & white tables

Verlag

Taylor & Francis

Seitenzahl

815

Maße (L/B/H)

25.7/18.3/4.2 cm

Gewicht

1654 g

Auflage

2 Revised edition

Sprache

Englisch

ISBN

978-1-4398-3673-6

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  • Produktbild: Klee, H: Simulation of Dynamic Systems with MATLAB and Simul
  • Mathematical Modeling Derivation of a Mathematical Model Difference Equations First Look at Discrete-Time Systems Case Study: Population Dynamics (Single Species) Continuous-Time Systems First-Order Systems Second-Order Systems Simulation Diagrams Higher-Order Systems State Variables Nonlinear Systems Case Study: Submarine Depth Control System Elementary Numerical Integration Discrete-Time System Approximation of a Continuous-Time Integrator Euler Integration Trapezoidal Integration Numerical Integration of First-Order and Higher Continuous-Time Systems Improvements to Euler Integration Case Study: Vertical Ascent of a Diver Linear Systems Analysis Laplace Transform Transfer Function Stability of Linear Time Invariant Continuous-Time Systems Frequency Response of LTI Continuous-Time Systems z-Transform z-Domain Transfer Function Stability of LTI Discrete-Time Systems Frequency Response of Discrete-Time Systems Control System Toolbox Case Study: Longitudinal Control of an Aircraft Case Study: Notch Filter for Electrocardiograph Waveform Simulink(R) Building a Simulink(R) Model Simulation of Linear Systems Algebraic Loops More Simulink(R) Blocks Subsystems Discrete-Time Systems MATLAB(R) and Simulink(R) Interface Hybrid Systems: Continuous- and Discrete-Time Components Monte Carlo Simulation Case Study: Pilot Ejection Case Study: Kalman Filtering Intermediate Numerical Integration Runge-Kutta (RK)-One-Step Methods Adaptive Techniques Multistep Methods Stiff Systems Lumped Parameter Approximation of Distributed Parameter Systems Systems with Discontinuities Case Study: Spread of an Epidemic Simulation Tools Steady-State Solver Optimization of Simulink(R) Models Linearization Adding Blocks to the Simulink(R) Library Browser Simulation Acceleration Advanced Numerical Integration Dynamic Errors (Characteristic Roots, Transfer Function) Stability of Numerical Integrators Multirate Integration Real-Time Simulation Additional Methods of Approximating Continuous-Time System Models Case Study: Lego Mindstorms NXT