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Modelling and Simulation of Integrated Systems in Engineering

Name: Modelling and Simulation of Integrated Systems in Engineering
Author: D Murray-Smith
ISBN: 9780857096050

by D Murray-Smith

May 2012

Intermediate to advanced

372 pages

7h 41m

English

Woodhead Publishing

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Cover image
Title page
Table of Contents
Copyright
List of figures
List of tables
List of abbreviations
Acknowledgements
Preface
About the author

Chapter 1: The principles of system modelling
Abstract:1.1 General issues in the development and application of models1.2 Classes of model for engineering applications1.3 Questions of model quality1.4 Methods of experimental modelling1.5 Model reuse and generic models1.6 Modelling within the procurement process
Chapter 2: Integrated systems and their significance for system modelling
Abstract:2.1 An introduction to integrated systems2.2 Sequential and concurrent design procedures
Chapter 3: Problem organisation
Abstract:3.1 Model organisation for engineering systems design3.2 The physical component layer3.3 The physical concept layer3.4 The mathematical description layer3.5 Software for modelling and simulation3.6 New developments in the modelling and simulation of micro-and nano-mechanical systems
Chapter 4: Inverse simulation for system modelling and design
Abstract:4.1 An introduction to inverse modelling and inverse simulation4.2 Methods of inverse simulation4.3 Example: inverse simulation applied to a linear model4.4 Case study: an application involving a nonlinear unmanned underwater vehicle (UUV) system model4.5 Discussion
Chapter 5: Methods and applications of parameter sensitivity analysis
Abstract:5.1 Fundamental concepts of parameter sensitivity analysis5.2 The sensitivity function5.3 Methods of sensitivity analysis involving repeated solutions5.4 Methods of sensitivity analysis involving sensitivity models5.5 Case study: sensitivity analysis applied to the unmanned underwater vehicle (UUV) model5.6 Sensitivity analysis using bond graphs5.7 Sensitivity analysis in inverse simulation
Chapter 6: Experimental modelling: system identification, parameter estimation and model optimisation techniques
Abstract:6.1 The use of system identification and optimisation techniques in the development of physically based dynamic models6.2 Applications of conventional methods of system identification and parameter estimation to physically based models6.3 System identification and parameter estimation applied to helicopter flight mechanics models6.4 Some selected methods of local and global parameter optimisation6.5 Genetic programming (GP) for model structure estimation6.6 Some practical issues in global parameter optimisation6.7 Further examples of system identification, parameter estimation and model optimisation techniques in integrated systems applications
Chapter 7: Issues of model quality and the validation of dynamic models
Abstract:7.1 An introduction to the issues of model quality and validation7.2 Model quality concepts, model uncertainties and modelling errors7.3 Model testing, verification and validation7.4 Issues of model validation and model quality in typical applications7.5 Issues of model quality in model reduction7.6 Discussion
Chapter 8: Real-time simulation, virtual prototyping and partial-system testing
Abstract:8.1 Virtual prototyping through simulation8.2 Real-time simulation methods8.3 Hardware-in-the-loop simulation8.4 Multi-rate simulation techniques8.5 Some new developments in real-time simulation
Chapter 9: Model management
Abstract:9.1 Issues of model management9.2 Tools for model management9.3 Multi-formalism in simulation and modelling9.4 Generic models9.5 Validation of library sub-models and generic models9.6 Educational issues
Chapter 10: Further discussion
Abstract:10.1 A summary of some strategic issues in the modelling and simulation of integrated systems10.2 Research and development work on modelling and simulation methods for integrated system applications
Appendix A1: models of an unmanned underwater vehicle (UUV)
Appendix A2: numerical methods for the solution of ordinary differential equations
Index

Content preview from Modelling and Simulation of Integrated Systems in Engineering

Index

Page numbers in italic indicate sources of further information

0-9 and, Symbols

20-sim simulation software, xxv, 51, 73, 74, 82, 274, 275, 287

acslX simulation software, xxiii, 72, 74, 85

Activated sludge model, 175, 196, 209

Actuator, 9, 24, 44, 54, 88, 90, 91, 114, 122, 159, 244, 293

Aeronautical engineering, 2, 20, 91, 92, 209

Aircraft

flight control, 2, 20, 32, 179, 210, 264

flight mechanics, 236–42

fly-by-wire, 2, 20, 179, 210

model, 52, 87, 181, 249–51

Algebraic (implicit) loop, 62, 63

Amplitude limits, 90, 91, 95, 159, 254

Analogue computer, 98, 99, 127, 272

Analogue-to-digital converter, 7, 68, 69, 70, 71, 271

Analogy

physical, 39, 41, 42, 45, 47, 253

signal, 41–2

component, 41, 42–5

connection, 41, 45–7

Annealing schedule, ...

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Modelling and Simulation of Integrated Systems in Engineering

by D Murray-Smith

Index

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