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Table of Contents
Intro
Preface
Organization
Contents - Part I
Contents - Part II
Modeling Theory and Methodology
Research on Reuse and Reconstruction of Multi-resolution Simulation Model
1 Introduction
2 Related Works
3 Methodology
3.1 Maxsim Simulation System and Model Analysis
3.2 Analysis of Mozi Joint Operation Deduction System
3.3 Analysis of Mo Subsystem Model Based on Maxsim Model
4 Effect Model Reconstruction Based on Machine Learning
4.1 Overall Idea of Model Reconstruction Based on Machine Learning
4.2 Research on Model Reconstruction Method Based on Neural Network
4.3 Introduction of Model Reconstruction Based on Neural Network
5 Prototype System and Typical Application Case Verification
5.1 Background of Case
5.2 Validation Process of Case
5.3 Analysis of Case Validation Results
6 Conclusion and Future Works
References
Simulation Experiment Factor Screening Method Based on Combinatorial Optimization
1 Introduction
2 Experimental Factor Screening Problem Description and Optimization Method Selection
2.1 Experimental Factor Screening Mathematical Description
2.2 Optimization Algorithm Selection
3 A Method for Evaluating the Importance of Experimental Factor Subsets
3.1 Support Vector Machine Model Derivation
3.2 Support Vector Machine Model Solving
4 Factor Screening Method and Validation
4.1 Factor Screening Method
4.2 Case Study
5 Conclusion
References
Development of a Generic Mesh Converter for Numerical Simulations
1 Introduction
2 Diversity in Commonly Used Mesh Models
2.1 Formats of Mesh Data
2.2 Representation Capability of Mesh Models
3 Design of the Neutral Mesh Model
3.1 Representation of Mesh Entities
3.2 Mesh Data Structure
4 Implementation of the Mesh Model and Conversion Interfaces
5 Validation
5.1 Conversion Correctness
5.2 Conversion Scalability
5.3 Conversion Comparison with Hypermesh
6 Concluding Remarks
References
Design and Development of a Simulation Model Validation Tool
1 Introduction
2 Simulation Model Validation Tool
2.1 Main Functions
2.2 Architectural Design
2.3 Main Interfaces
2.4 Workflow
3 Case Study
3.1 Model and Data
3.2 Validation of Static Performance Parameters
3.3 Validation of Dynamic Performance Parameters
4 Conclusions
References
Research on Graphical Modeling and Simulation Method of Control System Based on Python
1 Introduction
2 Hierarchical Model System Design of Control System
2.1 Basic Models
2.2 Professional Models
2.3 Models for Extension
3 Description and Parsing of Directed Graph Models of Control Systems
3.1 Parsing of Directed Graphs of Control Systems
3.2 Control System Based on Directed Acyclic Graph Model Description
3.3 Control System Based on Directed Cyclic Graph Description
4 Modeling and Simulation of Control Systems
Preface
Organization
Contents - Part I
Contents - Part II
Modeling Theory and Methodology
Research on Reuse and Reconstruction of Multi-resolution Simulation Model
1 Introduction
2 Related Works
3 Methodology
3.1 Maxsim Simulation System and Model Analysis
3.2 Analysis of Mozi Joint Operation Deduction System
3.3 Analysis of Mo Subsystem Model Based on Maxsim Model
4 Effect Model Reconstruction Based on Machine Learning
4.1 Overall Idea of Model Reconstruction Based on Machine Learning
4.2 Research on Model Reconstruction Method Based on Neural Network
4.3 Introduction of Model Reconstruction Based on Neural Network
5 Prototype System and Typical Application Case Verification
5.1 Background of Case
5.2 Validation Process of Case
5.3 Analysis of Case Validation Results
6 Conclusion and Future Works
References
Simulation Experiment Factor Screening Method Based on Combinatorial Optimization
1 Introduction
2 Experimental Factor Screening Problem Description and Optimization Method Selection
2.1 Experimental Factor Screening Mathematical Description
2.2 Optimization Algorithm Selection
3 A Method for Evaluating the Importance of Experimental Factor Subsets
3.1 Support Vector Machine Model Derivation
3.2 Support Vector Machine Model Solving
4 Factor Screening Method and Validation
4.1 Factor Screening Method
4.2 Case Study
5 Conclusion
References
Development of a Generic Mesh Converter for Numerical Simulations
1 Introduction
2 Diversity in Commonly Used Mesh Models
2.1 Formats of Mesh Data
2.2 Representation Capability of Mesh Models
3 Design of the Neutral Mesh Model
3.1 Representation of Mesh Entities
3.2 Mesh Data Structure
4 Implementation of the Mesh Model and Conversion Interfaces
5 Validation
5.1 Conversion Correctness
5.2 Conversion Scalability
5.3 Conversion Comparison with Hypermesh
6 Concluding Remarks
References
Design and Development of a Simulation Model Validation Tool
1 Introduction
2 Simulation Model Validation Tool
2.1 Main Functions
2.2 Architectural Design
2.3 Main Interfaces
2.4 Workflow
3 Case Study
3.1 Model and Data
3.2 Validation of Static Performance Parameters
3.3 Validation of Dynamic Performance Parameters
4 Conclusions
References
Research on Graphical Modeling and Simulation Method of Control System Based on Python
1 Introduction
2 Hierarchical Model System Design of Control System
2.1 Basic Models
2.2 Professional Models
2.3 Models for Extension
3 Description and Parsing of Directed Graph Models of Control Systems
3.1 Parsing of Directed Graphs of Control Systems
3.2 Control System Based on Directed Acyclic Graph Model Description
3.3 Control System Based on Directed Cyclic Graph Description
4 Modeling and Simulation of Control Systems