Modelling, Simulation and Optimization
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Modelling, Simulation and Optimization

  1. 720 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Modelling, Simulation and Optimization

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About This Book

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others.We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation.

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Yes, you can access Modelling, Simulation and Optimization by Gregorio Romero Rey, Luisa Martinez Muneta in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2010
ISBN
9789535145646
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Modelling Simulation and Optimization
  2. Contents
  3. Preface
  4. 1. Three-dimensional diagnosis and visualization supports in orthodontics based on Reverse Engineering and Solid Free-form Fabrication techniques
  5. 2. Computational Fluid Dynamics simulations:an approach to evaluate cardiovascular dysfunction
  6. 3. Asymmetrical Bipedal Modeling for Biomechanical Sit-to-Stand Movement
  7. 4. Virtual Human Hand:Autonomous Grasping Strategy
  8. 5. Intermodulation Interference Modelling for Low Earth Orbiting Satellite Ground Stations
  9. 6. Inverse Synthetic Aperture Radar Simulators as Software-defined Countermeasure Systems: Security by Obfuscation and Deception for Electronic & Computer Networks Warfare
  10. 7. Distance evaluation between vehicle trajectories and risk indicator
  11. 8. Optimization problems for controlled mechanical systems: Bridging the gap between theory and application
  12. 9.Modelling and Simulation of the Shape Optimization Problems
  13. 10. Simulation of the Impact of the Plough Body Parameters, Soil Properties and Working Modeson the Ploughing Resistance
  14. 11. Modelling the interoperability and the use of control equipment in an electrical substation
  15. 12. Study about controlling and optimizing the power quality in case of nonlinear power loads
  16. 13. sing adaptive filters in controlling of electricalresistance furnace temperature based on a realtime identification method
  17. 14. Simulation of On-Board Supercapacitor Energy Storage System for Tatra T3A Type Tramcars
  18. 15. Modelling and Simulating Chip Design Processes
  19. 16. Advanced Numerical Methodsfor non-Premixed Flames
  20. 17. Optimization of Full ECF Bleaching Sequences Using Novel Models
  21. 18. A Lattice Gas Approach to the Mexico City Wind Field Estimation Problem
  22. 19. A CFD Study of Passive Solar Shading
  23. 20. Improvement of Production Lines using aStochastic Approach
  24. 21. Modelling and Simulation of an Automated Warehouse for the Comparisonof Storage Strategies
  25. 22. Swarm Intelligence for Optimization in theUrban Water Industry
  26. 23. Modelling and Simulating Large Scale Vehicular Networks for Smart Context-awareTelematic Applications
  27. 24. Using Modelling and Simulation to Evaluate Network Services in Maritime Networks
  28. 25. Modelling, Simulating and Autonomous Planning for Urban Search and Rescue
  29. 26. APPLICATIONS OF SOFT COMPUTIONG IN ENGINEERING PROBLEMS
  30. 27. Forecasting Chaotic and Non-Linear Time Serieswith Artificial Intelligence and Statistical Measures
  31. 28. Fuzzy Pattern Modelling of Data Inherent Structures Based on Aggregation of Data with heterogeneous Fuzziness
  32. 29. Efforts in Agent-based Simulation of Human Panic Behaviour: Reference Model,Potential, Prospects
  33. 30. Effective agent-based geosimulation development using PLAMAGS