Modeling, Simulation and Optimization of Complex Processes HPSC 2015

Proceedings of the Sixth International Conference on High Performance Scientific Computing, March 16-20, 2015, Hanoi, Vietnam
 
 
Springer (Verlag)
  • erschienen am 16. November 2017
  • |
  • IX, 279 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-319-67168-0 (ISBN)
 

This proceedings volume highlights a selection of papers presented at the Sixth International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam on March 16-20, 2015. The conference was jointly organized by the Heidelberg Institute of Theoretical Studies (HITS), the Institute of Mathematics of the Vietnam Academy of Science and Technology (VAST), the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University, and the Vietnam Institute for Advanced Study in Mathematics, Ministry of Education The contributions cover a broad, interdisciplinary spectrum of scientific computing and showcase recent advances in theory, methods, and practical applications. Subjects covered numerical simulation, methods for optimization and control, parallel computing, and software development, as well as the applications of scientific computing in physics, mechanics, biomechanics and robotics, material science, hydrology, biotechnology, medicine, transport, scheduling, and industry.

1st ed. 2017
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • 64
  • |
  • 24 s/w Abbildungen, 64 farbige Abbildungen
  • |
  • 24 schwarz-weiße und 64 farbige Abbildungen, Bibliographie
  • 8,57 MB
978-3-319-67168-0 (9783319671680)
3319671685 (3319671685)
10.1007/978-3-319-67168-0
weitere Ausgaben werden ermittelt
  • Intro
  • Preface
  • Contents
  • Minimum Energy Time Tables for Subway Operation - And Hamiltonian Feedback to Return to Schedule
  • 1 Introduction
  • 2 Subway Optimization
  • 3 Numerical Treatment of Mixed Integer Optimal Control Problems
  • 3.1 Indirect Methods
  • 3.2 Direct Multiple Shooting
  • 4 Numerical Results
  • 5 Implementation in Practice
  • 6 Summary and Conclusions
  • References
  • Dynamically Adaptive Tree Grid Modeling of Flood Inundation Based on Shallow Water Equations
  • 1 Introduction
  • 2 Equations
  • 3 Numerical Scheme
  • 3.1 Finite Volume Formulation
  • 3.2 High Order Scheme
  • 3.3 Friction Force
  • 3.4 Grid Adaptivity Method
  • 3.5 Dynamic Domain Defining Method
  • 4 Results
  • 5 Conclusion
  • References
  • On the Relevance of Common Humanoid Gait Generation Strategies in Human Locomotion: An Inverse Optimal ControlApproach
  • 1 Introduction
  • 2 Inverse Optimal Control
  • 2.1 Bi-Level Formulation
  • 2.2 Direct All-At-Once Strategy
  • 3 The Optimal Control Model
  • 3.1 The Point Mass 3D-SEA-Walker
  • 3.2 Optimization Criteria
  • 4 Numerical Experiments
  • 5 Conclusions
  • References
  • Applying a Patched Mesh Method to Efficiently Solve a Singularly Perturbed Reaction-Diffusion Problem
  • 1 Introduction
  • 2 Solution Decomposition
  • 3 Numerical Scheme
  • 4 The Multigrid Algorithm
  • 5 Numerical Experiments
  • 5.1 Test Problem with uC1,a()
  • 5.2 Test Problem with Additional Compatibility Conditions
  • 6 Conclusions and Further Work
  • References
  • Nonlinear Optimal Control of a Heavy Duty Truck Exhaust Heat Recovery System
  • 1 Introduction
  • 2 Model Description
  • 3 Optimal Control Problem
  • 4 Numerical Results
  • 5 Conclusions
  • References
  • The Effect of Hessian Evaluations in the Global Optimization aBB Method
  • 1 Introduction
  • 1.1 Convex Underestimators
  • 1.2 Interval Computation
  • 2 Symbolic Computation of a
  • 3 Computational Studies
  • 4 Further Improvements
  • 5 Conclusion
  • References
  • Structure of Optimal Samples in Continuous Nonlinear Experimental Design for Parameter Estimation
  • 1 Introduction
  • 2 Formulation of the Continuous Experimental Design Problem
  • 3 Reduction to Finite Support Designs
  • 4 Size of Support for Optimal Designs
  • 5 Applications to OED for IVPs with Inputs
  • 6 Constructing Optimal Designs with Finite Support
  • 7 Examples
  • 8 Conclusion
  • References
  • Discovering Singular Points in DAE Models
  • 1 Introduction
  • 2 Quasilinear Index-1 DAEs
  • 3 Linear Index-2 DAEs
  • 4 Conclusion
  • References
  • pySLEQP: A Sequential Linear Quadratic Programming Method Implemented in Python
  • 1 Introduction
  • 2 Sequential Linear Equality Constrained Quadratic Programming
  • 2.1 Estimation of the Active Set
  • 2.2 Cauchy Step and Estimation of Lagrange Multipliers
  • 2.3 Computation of a Newton-Type Step
  • 2.4 Miscellaneous Topics
  • 3 Prototype Implementation in Python
  • 4 Performance of pySLEQP on a Benchmark Collection
  • 4.1 Performance on CUTEst
  • 4.2 Comparison on CUTEr
  • 5 Summary and Conclusions
  • References
  • Aiming for Maximum Tracking Accuracy in Repetitive ControlSystems
  • 1 Repetitive Control
  • 2 Formulations to Handle Special Objectives
  • 3 Speed of Learning
  • 4 Robustness to Parameter Uncertainty
  • 5 Prescribing a Frequency Cutoff
  • 6 Frequency Cutoff Dictated by High Frequency Model Error
  • 7 Incrementally Raising the Cutoff Using Adaptive Frequency Model Updates
  • References
  • Multiphysics Modeling of Pollutant Uptake by Mangroves
  • 1 Introduction
  • 2 Methodology
  • 2.1 Governing Equations
  • 2.2 Geometry and Meshing
  • 2.3 Boundary Conditions
  • 3 Simulation Results and Discussion
  • 3.1 Infiltration at the Soil Upper Boundary
  • 3.2 Infiltration Under Periodic Inundations
  • 4 Conclusions
  • References
  • On Travel Time Functions for Mixed Traffic Systems Dominated by Motorcycles
  • 1 Introduction
  • 2 Review of Travel Time Functions
  • 3 BPR Function in an MTSDM
  • 3.1 Link Capacity in Motorcycle Unit
  • 3.2 Parameter Setting for the BPR Function
  • 4 Computational Results
  • 5 Conclusion
  • References
  • Coupled Unsteady Fluid Dynamics and Aero-Acoustics Simulations of a Realistic Car Mirror: A Comparison of Cloud and High Performance Computing
  • 1 Introduction
  • 2 Solver Specifications
  • 2.1 Governing Equations
  • 2.2 Parallelisation and Grid-Related Information
  • 2.3 Acoustical Approaches
  • 2.3.1 Hybrid Coupling of Type 2a: Integral Approach
  • 2.3.2 Hybrid Coupling of Type 2b: Field-Wise Approach
  • 2.3.3 Summary Hybrid Coupling
  • 3 Simulation Architectures
  • 4 Simulations and Simulation Times
  • 4.1 Investigation of Different Architectures
  • 4.2 Car Mirror
  • 5 Conclusions
  • References
  • An All-Interaction Matrix Approach to Linear and Bilinear System Identification
  • 1 Introduction
  • 2 The System Markov Parameters in Context
  • 3 Origin of the Interaction Matrix
  • 4 Relationship to ARX and ARMAX Models
  • 5 A Generalized Interaction Matrix
  • 6 System Identification in the Presence of Periodic Disturbances
  • 7 Interaction Matrices for a Bilinear Model
  • 8 Interaction Matrices in Bilinear System Identification
  • 9 Conclusions
  • References
  • Optimal Energy Control of Hybrid Vehicles
  • 1 Introduction
  • 2 System Modeling
  • 2.1 Vehicle and Powertrain Dynamics
  • 2.2 Configuration and Hybridization
  • 2.3 Electric Machine
  • 2.4 Battery
  • 3 Optimal Control Problem
  • 4 Numerical Solution
  • 5 Conclusion and Perspectives
  • References
  • Optimal Operation of an Evaporation Process
  • 1 Introduction
  • 2 The Industrial Evaporation System
  • 2.1 Mathematical Model
  • 2.2 Experimental Customization
  • 3 Optimal Operation
  • 4 Results
  • 5 Conclusions
  • References
  • High Performance Computing for Cognition-Guided Cardiac Surgery: Soft Tissue Simulation for Mitral Valve Reconstruction in Knowledge-Based Surgery Assistance
  • 1 Introduction
  • 2 Modeling and Simulating the Behavior of the Mitral Valve
  • 2.1 Short Overview: Anatomy of Heart and MV
  • 2.2 Basics of Elasticity Theory for Modeling the MV Behavior
  • 2.3 Numerical Solution of the Contact Elasticity Problem for the MV Using the Finite Element Method
  • 3 Implementation and Interfaces of the MVR Simulation
  • 4 Numerical Experiments
  • 5 Discussion, Conclusion and Outlook
  • References
  • Two FPTAS for the Constrained Shortest Path Problem Applied to Hybrid Vehicle Routing
  • 1 Introduction
  • 2 Related Work
  • 3 Preliminaries
  • 4 Cycles in Shortest Paths
  • 5 Complexity Considerations
  • 6 Constructing an FPTAS
  • 7 A More Practical Approach
  • 8 Conclusions and Future Work
  • References
  • Simultaneous Parameter and Input Estimation of a Respiratory Mechanics Model
  • 1 Introduction
  • 2 Description of the Estimation Problem
  • 2.1 Mathematical Model of Respiratory Mechanics
  • 2.2 Problem Statement
  • 2.3 Main Challenges
  • 3 Approach
  • 3.1 Constrained Optimization (CO)
  • 3.2 Parametric Optimization (PO)
  • 4 Experimental Results
  • 5 Discussion
  • 6 Conclusion
  • References
  • Generalized Framework of OKID for Linear State-Space Model Identification
  • 1 Introduction
  • 2 Problem Statement
  • 3 State Observers
  • 3.1 Linear-Time-Invariant (LTI) Observers
  • 3.2 Kalman Filter in Predictor Form
  • 3.3 Kalman Filter in Innovation Form
  • 3.4 Deadbeat Observer
  • 4 Observer/Kalman Filter Identification
  • 4.1 OKID Equation
  • 4.2 Identification of the Observer/Kalman Filter
  • 5 OKID Framework
  • 5.1 Overview
  • 5.2 Discussion
  • 6 Further Extensions
  • References
  • Variational-Monolithic ALE Fluid-Structure Interaction: Comparison of Computational Cost and Mesh Regularity Using Different Mesh Motion Techniques
  • 1 Introduction
  • 2 The Coupled FSI Problem in the Reference Domain
  • 2.1 Notation and Spaces
  • 2.2 The ALE Mapping
  • 2.3 Interface Coupling Conditions on Gi
  • 2.4 Mesh Motion Models
  • 2.5 A Variational-Monolithic FSI-Formulation Using ALEfx
  • 3 Discretization and Solution Algorithm
  • 4 Numerical Test: The FSI-2 Benchmark [10]
  • 5 Conclusions
  • References
  • Parallel Multiphysics Simulations Using OpenPALM with Application to Hydro-Biogeochemistry Coupling
  • 1 Introduction
  • 2 Hydro-Biogeochemistry Coupling
  • 2.1 Biogeochemistry
  • 2.2 Hydrology Problem Formulation
  • 2.3 Discretization
  • 2.4 Simulation with OpenPALM
  • 3 Numerical Experiments
  • 4 Conclusion
  • References
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