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基本説明
From the Foreword: "… a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. … particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced treatment of the subject for researchers and simulation professionals."
Full Description
"... a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. ... particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced treatment of the subject for researchers and simulation professionals."-From the Foreword by Chris Bauer, PhD, PE, CMSP Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice-but explosive growth in the field requires a new learning approach. A response to changes in the field, Simulation of Dynamic Systems with MATLAB (R) and Simulink (R), Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB (R) and Simulink (R)-including access to downloadable M-files and model files-enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study.More universities are offering courses-as well as masters and Ph.D programs-in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.
Contents
Mathematical ModelingDerivation of a Mathematical ModelDifference EquationsFirst Look at Discrete-Time SystemsCase Study: Population Dynamics (Single Species)Continuous-Time SystemsFirst-Order SystemsSecond-Order SystemsSimulation DiagramsHigher-Order SystemsState VariablesNonlinear SystemsCase Study: Submarine Depth Control SystemElementary Numerical IntegrationDiscrete-Time System Approximation of a Continuous-Time IntegratorEuler IntegrationTrapezoidal IntegrationNumerical Integration of First-Order and Higher Continuous-Time SystemsImprovements to Euler IntegrationCase Study: Vertical Ascent of a DiverLinear Systems AnalysisLaplace TransformTransfer FunctionStability of Linear Time Invariant Continuous-Time SystemsFrequency Response of LTI Continuous-Time Systemsz-Transformz-Domain Transfer FunctionStability of LTI Discrete-Time SystemsFrequency Response of Discrete-Time SystemsControl System ToolboxCase Study: Longitudinal Control of an AircraftCase Study: Notch Filter for Electrocardiograph WaveformSimulink (R)Building a Simulink (R) ModelSimulation of Linear SystemsAlgebraic LoopsMore Simulink (R) BlocksSubsystemsDiscrete-Time SystemsMATLAB (R) and Simulink (R) InterfaceHybrid Systems: Continuous- and Discrete-Time ComponentsMonte Carlo SimulationCase Study: Pilot EjectionCase Study: Kalman FilteringIntermediate Numerical IntegrationRunge-Kutta (RK)-One-Step MethodsAdaptive TechniquesMultistep MethodsStiff SystemsLumped Parameter Approximation of Distributed Parameter SystemsSystems with DiscontinuitiesCase Study: Spread of an EpidemicSimulation ToolsSteady-State SolverOptimization of Simulink (R) ModelsLinearizationAdding Blocks to the Simulink (R) Library BrowserSimulation AccelerationAdvanced Numerical IntegrationDynamic Errors (Characteristic Roots, Transfer Function)Stability of Numerical IntegratorsMultirate IntegrationReal-Time SimulationAdditional Methods of Approximating Continuous-Time System ModelsCase Study: Lego Mindstorms NXT
