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" Building software for simulation : "
James Nutaro
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BL
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| Record Number
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657186
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dltt
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| Main Entry
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Nutaro, James
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| Title & Author
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Building software for simulation : : theory and algorithms, with applications in C++ /\ James Nutaro
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| Publication Statement
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Hoboken, N.J. :: Wiley,, c2011
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| Page. NO
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x, 347 p. :: ill. ;; 25 cm
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| ISBN
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9780470414699 (hardback)
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: 0470414693 (hardback)
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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Machine generated contents note: PREFACE. -- 1 INTRODUCTION. -- 1.1 Elements of a Software Architecture. -- 1.2 Systems Concepts as an Architectural Foundation. -- 1.3 Summary. -- 1.4 Organization of the Book. -- 2 FIRST EXAMPLE: SIMULATING A ROBOTIC TANK. -- 2.1 Functional Modeling. -- 2.2 A Robotic Tank. -- 2.2.1 Equations of Motion. -- 2.2.2 Motors, Gearbox, and Tracks. -- 2.2.3 Complete Model of the Tank's Continuous Dynamics. -- 2.2.4 The Computer. -- 2.2.5 Complete Model of the Tank. -- 2.3 Design of the Tank Simulator. -- 2.4 Experiments. -- 2.5 Summary. -- 3 DISCRETE-TIME SYSTEMS. -- 3.1 Atomic Models. -- 3.1.1 Trajectories. -- 3.1.2 The State Transition and Output Function. -- 3.1.3 Two Examples of Atomic, Discrete-Time Models. -- 3.1.4 Systems with Bags for Input and Output. -- 3.1.5 A Simulator for Atomic Models. -- 3.2 Network Models. -- 3.2.1 The Parts of a Network Model. -- 3.2.2 The Resultant of a Network Model. -- 3.2.3 An Example of a Network Model and Its Resultant. -- 3.2.4 Simulating the Resultant. -- 3.3 A Simulator for Discrete-Time Systems. -- 3.4 Mealy/Moore-Type Systems. -- 3.5 Cellular Automata. -- 3.6 Summary. -- 4 DISCRETE-EVENT SYSTEMS. -- 4.1 Atomic Models. -- 4.1.1 Time and Trajectories. -- 4.1.2 The State Transition Function. -- 4.1.3 The Output Function. -- 4.1.4 Legitimate Systems. -- 4.1.5 An Example of an Atomic Model. -- 4.1.6 The Interrupt Handler in the Robotic Tank. -- 4.1.7 Systems with Bags for Input and Output. -- 4.1.8 A Simulator for Atomic Models. -- 4.1.9 Simulating the Interrupt Handler. -- 4.2 Network Models. -- 4.2.1 The Parts of a Network Model. -- 4.2.2 The Resultant of a Network Model. -- 4.2.3 An Example of a Network Model and Its Resultant. -- 4.2.4 Simulating the Resultant. -- 4.3 A Simulator for Discrete-Event Systems. -- 4.3.1 The Event Schedule. -- 4.3.2 The Bag. -- 4.3.3 The Simulation Engine. -- 4.4 The Computer in the Tank. -- 4.5 Cellular Automata Revisited. -- 4.6 Summary. -- 5 HYBRID SYSTEMS. -- 5.1 An Elementary Hybrid System. -- 5.2 Networks of Continuous Systems. -- 5.3 Hybrid Models as Discrete-Event Systems. -- 5.4 Numerical Simulation of Hybrid Systems. -- 5.5 A Simulator for Hybrid Systems. -- 5.6 Interactive Simulation of the Robotic Tank. -- 5.6.1 Correcting the Dynamics of a Turn. -- 5.6.2 A Simplified Model of the Motor. -- 5.6.3 Updating the Display. -- 5.6.4 Implementing the Tank Physics. -- 5.7 Approximating Continuous Interaction Between Hybrid Models. -- 5.8 A Final Comment on Cellular Automata. -- 5.8.1 Differential Automata with Constant Derivatives. -- 5.8.2 Modeling Asynchronous Cellular Automata with Differential Automata. -- 5.8.3 A Homomorphism from Differential Automata to Asynchronous Cellular Automata. -- 5.9 Summary. -- 6 APPLICATIONS. -- 6.1 Control Through a Packet-Switched Network. -- 6.1.1 Model of the Pendulum and Its PID Controller. -- 6.1.2 Integration with an Ethernet Simulator. -- 6.1.3 Experiments. -- 6.2 Frequency Regulation in an Electrical Power System. -- 6.2.1 Generation. -- 6.2.2 Transmission Network and Electrical Loads. -- 6.2.3 Frequency Monitoring and Load Actuation. -- 6.2.4 Software Implementation. -- 6.2.5 Experiments. -- 6.3 Summary. -- 7 THE FUTURE. -- 7.1 Simulation Programming Languages. -- 7.2 Parallel Computing and Discrete-Event Simulation. -- 7.3 The Many Forms of Discrete Systems and Their Simulators. -- 7.4 Other Facets of Modeling and Simulation. -- APPENDIX A DESIGN AND TEST OF SIMULATIONS. -- A.1 Decomposing a Model. -- A.1.1 Bottom-Up Testing. -- A.1.2 Invariants and Assertions. -- A.2 Input and Output Objects. -- A.2.1 Simple Structures. -- A.2.2 Unions. -- A.2.3 Pointers and Hierarchies of Events. -- A.2.4 Mixing Strategies with Model Wrappers. -- A.3 Reducing Execution Time. -- APPENDIX B PARALLEL DISCRETE EVENT SIMULATION. -- B.1 A Conservative Algorithm. -- B.1.1 Lookahead. -- B.1.2 The Algorithm. -- B.2 Implementing the Algorithm with OpenMP. -- B.2.1 Pragmas, Volatiles, and Locks. -- B.2.2 Overview of the Simulator. -- B.2.3 The LogicalProcess. -- B.2.4 The MessageQ. -- B.2.5 The ParSimulator. -- B.3 Demonstration of Gustafson's and Amdahl's Laws. -- APPENDIX C MATHEMATICAL TOPICS. -- C.1 System Homomorphisms. -- C.2 Sinusoidal State-Steady Analysis. -- REFERENCES. -- INDEX
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| Abstract
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"This book offers a concise introduction to the art of building simulation software. It clearly demonstrates the five skills necessary for building simulations of complicated systems: abstractions for simulation dynamic systems; basic simulation algorithms for continuous and discrete event simulations; combining continuous and discrete event simulations into a coherent whole; strategies for testing a simulation; and theoretical foundations of the modeling constructs and simulation algorithms. This is indispensable reading for software programmers, developers, and engineers, and students in related courses"--Provided by publisher
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"This book will be used as an introduction to the design and implementation of simulation software, as a reference for fundamental abstractions that are useful when building object-oriented simulation programs, and as a collection of specific algorithms for simulating dynamic systems"--Provided by publisher
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| Subject
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Computer simulation
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| Subject
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C++ (Computer program language)
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| Dewey Classification
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005.13/3
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| LC Classification
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QA76.9.C65N88 2011
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