MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems.

Contents:

  • Introduction (Lin Zhang and Chun Zhao)
  • Using Modeling and Simulation and Artificial Intelligence to Improve Complex Adaptive System Engineering (Andrew Talk, Philip Barry and Steven C Doskey)
  • DEVS and MBSE: A Review (Bernard P Zeigler)
  • XDEVS: A Hybrid System Modeling Framework (Kunyu Xie, Lin Zhang, Yuanjun Laili and Xiaohan Wang)
  • An Integrated Intelligent Modeling and Simulation Language for Model-Based Systems Engineering (Lin Zhang, Fei Ye, Kunyu Xie, Pengfei Gu, Xiaohan Wang, Yuanjun Laili, Chun Zhao, Xuesong Zhang, Minjie Chen, Tinggu Lin and Zhen Chen)
  • Modeling for Heterogeneous Objects Based on X Language: A Modeling Method of Algorithm-Hardware (Yue Liu and Chun Zhao)
  • Data-Driven Modeling Method with Reverse Process (Guodong Yi, Lifan Yi, Zaizhao Zhang and Chuihui Li)
  • Simulation-Oriented Model Reuse in Cyber-Physical Systems: A Method Based on Constrained Directed Graph (Wenzheng Liu, Heming Zhang, Chao Tang, Shuangfei Wu and Hongguang Zhu)
  • Model Maturity Towards Modeling and Simulation: Concepts, Index System Framework and Evaluation Method (Lin Zhang, Ying Liu, Yuanjun Laili and Weicun Zhang)
  • FPGA-Based Edge Computing: Task Modeling for Cloud-Edge Collaboration (Chuan Xiao and Chun Zhao)
  • Hybrid Intelligent Modeling Approach for Online Predicting and Simulating Surface Temperature of HVs (Ming Tie, Hong Fang, Jianlin Wang and Weihua Chen)
  • Knowledge-Driven Material Design Platform Based on the Whole-Process Simulation and Modeling (Gongzhuang Peng, Tie Li, Xiang Zhai, Wenzheng Liu and Heming Zhang)
  • A Model Validation Method Based on the Orthogonal Polynomial Transformation and Area Metric (Huan Zhang, Wei Li, Ping Ma and Ming Yang)
  • A Mixed Reality Simulation Evaluation Method for Complex System (Lijun Wang, Yang Xue, Yi Lv, Yufen Wu, Dawei Wang and Shuhong Xu)

Readership: Graduate students, engineers and researchers specializing in the fields of System Engineering.

Key Features:

  • Presentation of new research achievements in MSBSE
  • Providing reference cases for MSBSE
  • The contributors of this book included Dr Andreas Tolk and Prof. Bernard Zeigler who is one of the most esteemed leaders in M&S

"1142809142"
MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems.

Contents:

  • Introduction (Lin Zhang and Chun Zhao)
  • Using Modeling and Simulation and Artificial Intelligence to Improve Complex Adaptive System Engineering (Andrew Talk, Philip Barry and Steven C Doskey)
  • DEVS and MBSE: A Review (Bernard P Zeigler)
  • XDEVS: A Hybrid System Modeling Framework (Kunyu Xie, Lin Zhang, Yuanjun Laili and Xiaohan Wang)
  • An Integrated Intelligent Modeling and Simulation Language for Model-Based Systems Engineering (Lin Zhang, Fei Ye, Kunyu Xie, Pengfei Gu, Xiaohan Wang, Yuanjun Laili, Chun Zhao, Xuesong Zhang, Minjie Chen, Tinggu Lin and Zhen Chen)
  • Modeling for Heterogeneous Objects Based on X Language: A Modeling Method of Algorithm-Hardware (Yue Liu and Chun Zhao)
  • Data-Driven Modeling Method with Reverse Process (Guodong Yi, Lifan Yi, Zaizhao Zhang and Chuihui Li)
  • Simulation-Oriented Model Reuse in Cyber-Physical Systems: A Method Based on Constrained Directed Graph (Wenzheng Liu, Heming Zhang, Chao Tang, Shuangfei Wu and Hongguang Zhu)
  • Model Maturity Towards Modeling and Simulation: Concepts, Index System Framework and Evaluation Method (Lin Zhang, Ying Liu, Yuanjun Laili and Weicun Zhang)
  • FPGA-Based Edge Computing: Task Modeling for Cloud-Edge Collaboration (Chuan Xiao and Chun Zhao)
  • Hybrid Intelligent Modeling Approach for Online Predicting and Simulating Surface Temperature of HVs (Ming Tie, Hong Fang, Jianlin Wang and Weihua Chen)
  • Knowledge-Driven Material Design Platform Based on the Whole-Process Simulation and Modeling (Gongzhuang Peng, Tie Li, Xiang Zhai, Wenzheng Liu and Heming Zhang)
  • A Model Validation Method Based on the Orthogonal Polynomial Transformation and Area Metric (Huan Zhang, Wei Li, Ping Ma and Ming Yang)
  • A Mixed Reality Simulation Evaluation Method for Complex System (Lijun Wang, Yang Xue, Yi Lv, Yufen Wu, Dawei Wang and Shuhong Xu)

Readership: Graduate students, engineers and researchers specializing in the fields of System Engineering.

Key Features:

  • Presentation of new research achievements in MSBSE
  • Providing reference cases for MSBSE
  • The contributors of this book included Dr Andreas Tolk and Prof. Bernard Zeigler who is one of the most esteemed leaders in M&S

58.99 In Stock
MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

MODELING AND SIMULATION BASED SYSTEMS ENGINEERING: Theory and Practice

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Overview

Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems.

Contents:

  • Introduction (Lin Zhang and Chun Zhao)
  • Using Modeling and Simulation and Artificial Intelligence to Improve Complex Adaptive System Engineering (Andrew Talk, Philip Barry and Steven C Doskey)
  • DEVS and MBSE: A Review (Bernard P Zeigler)
  • XDEVS: A Hybrid System Modeling Framework (Kunyu Xie, Lin Zhang, Yuanjun Laili and Xiaohan Wang)
  • An Integrated Intelligent Modeling and Simulation Language for Model-Based Systems Engineering (Lin Zhang, Fei Ye, Kunyu Xie, Pengfei Gu, Xiaohan Wang, Yuanjun Laili, Chun Zhao, Xuesong Zhang, Minjie Chen, Tinggu Lin and Zhen Chen)
  • Modeling for Heterogeneous Objects Based on X Language: A Modeling Method of Algorithm-Hardware (Yue Liu and Chun Zhao)
  • Data-Driven Modeling Method with Reverse Process (Guodong Yi, Lifan Yi, Zaizhao Zhang and Chuihui Li)
  • Simulation-Oriented Model Reuse in Cyber-Physical Systems: A Method Based on Constrained Directed Graph (Wenzheng Liu, Heming Zhang, Chao Tang, Shuangfei Wu and Hongguang Zhu)
  • Model Maturity Towards Modeling and Simulation: Concepts, Index System Framework and Evaluation Method (Lin Zhang, Ying Liu, Yuanjun Laili and Weicun Zhang)
  • FPGA-Based Edge Computing: Task Modeling for Cloud-Edge Collaboration (Chuan Xiao and Chun Zhao)
  • Hybrid Intelligent Modeling Approach for Online Predicting and Simulating Surface Temperature of HVs (Ming Tie, Hong Fang, Jianlin Wang and Weihua Chen)
  • Knowledge-Driven Material Design Platform Based on the Whole-Process Simulation and Modeling (Gongzhuang Peng, Tie Li, Xiang Zhai, Wenzheng Liu and Heming Zhang)
  • A Model Validation Method Based on the Orthogonal Polynomial Transformation and Area Metric (Huan Zhang, Wei Li, Ping Ma and Ming Yang)
  • A Mixed Reality Simulation Evaluation Method for Complex System (Lijun Wang, Yang Xue, Yi Lv, Yufen Wu, Dawei Wang and Shuhong Xu)

Readership: Graduate students, engineers and researchers specializing in the fields of System Engineering.

Key Features:

  • Presentation of new research achievements in MSBSE
  • Providing reference cases for MSBSE
  • The contributors of this book included Dr Andreas Tolk and Prof. Bernard Zeigler who is one of the most esteemed leaders in M&S


Product Details

ISBN-13: 9789811260193
Publisher: WSPC
Publication date: 02/02/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 272
File size: 20 MB
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