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1.

Book
Book
1. From gravity to thermal gauge theories : the AdS/CFT correspondence
Eleftherios Papantonopoulos, editor
Published: Berlin : Springer, c2011  xviii, 425 p. ; 24 cm
Series: Lecture notes in physics ; 828
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Table of Contents: Read more
Introduction to the AdS/CFT Correspondence / Part I：
Introduction to Anti de Sitter Black Holes / 1：
Spacetimes of Constant Curvature / 1.1：
Spaces of Maximal Symmetry and Constant Curvature / 1.1.1：
Flat Spacetime / 1.1.2：
Anti de Sitter Spacetime / 1.1.3：
Static Black Holes / 1.2：
Basic Properties / 1.2.1：
Thermodynamics / 1.2.2：
Beyond Static Black Holes / 1.3：
References
Perturbations of Anti de Sitter Black Holes / 2：
Introduction / 2.1：
Perturbations / 2.2：
Scalar Perturbations / 2.2.1：
Gravitational Perturbations / 2.2.2：
Electromagnetic Perturbations / 2.2.3：
Hydrodynamics / 2.3：
Vector Perturbations / 2.3.1：
Tensor Perturbations / 2.3.2：
Hydrodynamics on the AdS boundary / 2.3.4：
Conformal Soliton Flow / 2.3.5：
Phase Transitions / 2.4：
K = 0 / 2.4.1：
K = -1 / 2.4.2：
Conclusion / 2.5：
CFTs / 3：
Conformal Algebra / 3.2.1：
Local Field Operators / 3.2.2：
Conformal Correlators / 3.2.3：
AdS/CFT Correspondence / 3.3：
AdS Geometry / 3.3.1：
Partition Function / 3.3.2：
Semi-classical Gravity Limit / 3.3.3：
Large N / 3.4：
SYM from D-Branes / 3.5：
D3-Brane Near Horizon Geometry / 3.5.2：
Strong/Weak Duality / 3.5.3：
Extensions / 3.6：
Holography and the AdS/CFT Correspondence / Part II：
Improved Holographic QCD / 4：
The 5D Model / 4.1：
Scheme Dependence / 4.3：
The Potential and the Parameters of the Model / 4.4：
The Normalization of the Coupling Constant ? / 4.4.1：
The AdS Scale l / 4.4.2：
The UV Expansion Coefficients of V(?) / 4.4.3：
The String Length / 4.4.4：
Integration Constants / 4.4.6：
Latent Heat and Equation of State / 4.5：
Glueball Spectrum / 4.5.2：
Critical Temperature / 4.5.3：
String Tension / 4.5.4：
CP-odd Sector / 4.5.5：
Coupling Normalization / 4.5.6：
Bulk Viscosity / 4.6：
The Holographic Computation / 4.6.1：
The Adiabatic Approximation / 4.6.2：
Buchel's Bound / 4.6.4：
The Drag Force on Strings and Heavy Quarks / 4.7：
The Drag Force / 4.7.1：
The Relativistic Asymptotics / 4.7.2：
The Non-relativistic Asymptotics / 4.7.3：
The Diffusion Time / 4.7.4：
Including the Correction to the Quark Mass / 4.7.5：
Temperature Matching and Diffusion Time Estimates / 4.7.6：
Jet Quenching Parameter / 4.8：
Discussion and Outlook / 4.9：
Drag Force / 4.9.1：
Diffusion Time / 4.9.3：
Jet Quenching / 4.9.4：
The Dynamics of Quark-Gluon Plasma and AdS/CFT / 5：
The AdS/CFT Correspondence / 5.1：
Effective Degrees of Freedom at Strong Coupling / 5.2.1：
Why study N = 4 Plasma? / 5.3：
The AdS/CFT for Studying Real-Time Dynamics of Plasma / 5.4：
Exact Analytical Examples / 5.4.1：
A Case Study: Static Uniform Plasma / 5.5.1：
A Case Study: A Planar Shock Wave / 5.5.2：
Boost-Invariant Flow / 5.6：
Large Proper Time Behaviour / 5.7：
The AdS/CFT Analysis / 5.7.1：
Perfect Fluid Geometry / 5.7.2：
Plasma Dynamics Beyond Perfect Fluid / 5.8：
Interlude: Hydrodynamics Redux / 5.9：
Plasma Dynamics Beyond Hydrodynamics / 5.10：
Dynamics at Small Proper Time / 5.11：
The Absence of a Scaling Variable / 5.11.1：
The Existence of a Regular Initial Condition / 5.11.2：
The Classification of Possible Initial Conditions / 5.11.3：
An Analysis of Some Aspects of the Small Proper Time Behaviour of ?(?) / 5.11.4：
Conclusions / 5.12：
Appendix
Fluid Dynamics from Gravity / 6：
Quantum Gravity / 6.1：
Universal Implications / 6.1.2：
QCD / 6.1.3：
Fluid Dynamics / 6.1.4：
Background / 6.2：
Conformal Fluid Dynamics / 6.2.1：
Gravity in the Bulk / 6.2.2：
Fluid/Gravity Map / 6.2.3：
Construction of Bulk Metric and Boundary Stress Tensor / 6.3：
0th Order / 6.3.1：
1st Order / 6.3.2：
Solution to Second Order / 6.4：
The Spacetime Geometry Dual to Fluids / 6.4.1：
Summary / 6.5：
The Gauge-Gravity Duality and Heavy Ion Collisions / 7：
The Wake of a Quark / 7.1：
Jet Correlations at RHIC / 7.1.1：
A Holographic Computation / 7.1.2：
Entropy Production / 7.2：
AdS/CFT on the Brane / 8：
Braneworlds in AdS Spacetime / 8.1：
RS Models / 8.2.1：
Cosmology / 8.2.2：
View from the Brane / 8.3：
Geometrical Holography / 8.3.1：
Does AdS/CFT Play Any Role in Braneworld? / 8.4：
Single-Brane Model / 8.4.1：
Two-Brane Model / 8.4.2：
Gradient Expansion Method / 8.5：
Single Brane Model (RS2) / 8.6：
Einstein Gravity at Lowest Order / 8.6.1：
AdS/CFT Emerges / 8.6.2：
Two-Brane Model (RS1) / 8.7：
Scalar-Tensor Theory Emerges / 8.7.1：
AdS/CFT in Two-Brane System? / 8.7.2：
The Answers / 8.8：
AdS/CFT in Dilatonic Braneworld / 8.8.1：
Dilatonic Braneworld / 8.9.1：
AdS/Radion Correspondence / 8.9.2：
AdS/CFT and KK Corrections: Single-Brane Cases / 8.9.3：
Condensed Matter and the AdS/CFT Correspondence / 8.10：
Condensed Matter and AdS/CFT / 9：
Model Systems and Their Critical Theories / 9.1：
Coupled Dimer Antiferromagnets / 9.2.1：
Deconfined Criticality / 9.2.2：
Graphene / 9.2.3：
Finite Temperature Crossovers / 9.3：
Quantum Critical Transport / 9.4：
Exact Results for Quantum Critical Transport / 9.5：
Hydrodynamic Theory / 9.6：
Relativistic Magnetohydrodynamics / 9.6.1：
Dyonic Black Hole / 9.6.2：
Results / 9.6.3：
d-wave Superconductors / 9.7：
Dirac Fermions / 9.7.1：
Time-Reversal Symmetry Breaking / 9.7.2：
Nematic Ordering / 9.7.3：
Metals / 9.8：
Field Theories / 9.8.1：
Symmetries / 9.8.2：
Scaling Theory / 9.8.3：
Large N Expansion / 9.8.4：
Introduction to Holographic Superconductors / 9.8.5：
Superconductivity / 10.1：
A Gravitational Dual / 10.2：
Probe Limit / 10.3：
Condensate / 10.3.1：
Conductivity / 10.3.2：
Full Solution with Backreaction / 10.4：
Reformulation of the Conductivity / 10.4.1：
Zero Temperature Limit / 10.5：
Adding Magnetic Fields / 10.5.1：
London Equation / 10.6.1：
Correlation Length / 10.6.2：
Vortices / 10.6.3：
Recent Developments / 10.7：
Conclusions and Open Problems / 10.8：
Open Problems / 10.8.1：
Flavor Superconductivity and Superfluidity / 11：
String Motivation / 11.1：
Condensed Matter Motivation / 11.1.2：
Superconductivity and Holography / 11.2：
Basics of Superconductivity and Our Field Theory Idea / 11.2.1：
Holographic Realization / 11.2.2：
Holographic Setup / 11.3：
Flavor from Intersecting Branes / 11.3.1：
Background and Brane Configuration / 11.3.2：
DBI Action and Equations of Motion / 11.3.3：
D-Brane Thermodynamics and Spectrum / 11.4：
Baryon Chemical Potential / 11.4.1：
Isospin Chemical Potential / 11.4.2：
Instabilities and the New Phase / 11.4.3：
Signatures of Super-Something / 11.5：
Thermodynamics of the Broken Phase / 11.5.1：
Fluctuations in the Broken Phase / 11.5.2：
Conductivity and Spectrum / 11.5.3：
Meissner-Ochsenfeld-Effect / 11.5.4：
Interpretation and Conclusion / 11.6：
String Theory Picture / 11.6.1：
Outlook / 11.6.2：
Holographic Torsion and the Prelude to Kalb-Ramond Superconductivity / 12：
Introduction and Summary of the Results / 12.1：
Torsion as the Non-trivial Magnetic Field of Gravity / 12.2：
Details on the the 3 + 1-Split Formalism / 12.2.1：
The Analog of ?-Angle in Gravity / 12.3.1：
Torsion and the Magnetic Field of Gravity / 12.3.2：
The Nieh-Yan Models / 12.4：
General Aspects / 12.4.1：
The 3 + 1-Split of the Pseudoscalar Nieh-Yan Model / 12.4.2：
The Torsion Domain Wall / 12.5：
The Gravity Dual of Parity Symmetry Breaking / 12.6：
Physics in the Bulk: The Superconductor Analogy / 12.7：
Torsion Domain Wall Versus Abrikosov Vortex / 12.7.1：
Domain Wall Condensation / 12.7.2：
Index / 12.8：
Introduction to the AdS/CFT Correspondence / Part I：
Introduction to Anti de Sitter Black Holes / 1：
Spacetimes of Constant Curvature / 1.1：
2.

Book
Book
2. Modeling and identification of linear parameter-varying systems
Roland Tóth
Published: Berlin : Springer, c2010  xxiv, 319 p. ; 24 cm
Series: Lecture notes in control and information sciences ; 403
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Table of Contents: Read more
Introduction / 1：
New Challenges for System Identification / 1.1：
The Birth of LPV Systems / 1.2：
The Present State of LPV Identification / 1.3：
The Identification Cycle / 1.3.1：
General Picture of LPV Identification / 1.3.2：
LPV-Io Representation Based Methods / 1.3.3：
LPV-SS Representation Based Methods / 1.3.4：
Similarity to Other System Classes / 1.3.5：
Challenges and Open Problems / 1.4：
Perspectives of Orthonormal Basis Function Models / 1.5：
The Gain-Scheduling Perspective / 1.5.1：
The Global Identification Perspective / 1.5.2：
Approximation via OBF Structures / 1.5.3：
The Goal of the Book / 1.6：
Overview of Contents / 1.7：
LTI System Identification and the Role of OBFs / 2：
The Concept of Orthonormal Basis Functions / 2.1：
Signal Spaces and Inner Functions / 2.2：
General Class of Orthonormal Basis Functions / 2.3：
Takenaka-Malmquist Basis / 2.3.1：
Hambo Basis / 2.3.2：
Kautz Basis / 2.3.3：
Laguerre Basis / 2.3.4：
Pulse Basis / 2.3.5：
Orthonormal Basis Functions of MIMO Systems / 2.3.6：
Basis Functions in Continuous-Time / 2.3.7：
Modeling and Identification of LTI Systems / 2.4：
The Identification Setting / 2.4.1：
Model Structures / 2.4.2：
Properties / 2.4.3：
Linear Regression / 2.4.4：
Identification with OBFs / 2.4.5：
Pole Uncertainty of Model Estimates / 2.4.6：
Validation in the Prediction-Error Setting / 2.4.7：
The Kolmogorov n-Width Theory / 2.5：
Conclusions / 2.6：
LPV Systems and Representations / 3：
General Class of LPV Systems / 3.1：
Parameter Varying Dynamical Systems / 3.1.1：
Representations of Continuous-Time LPV Systems / 3.1.2：
Representations of Discrete-Time LPV Systems / 3.1.3：
Equivalence Classes and Relations / 3.2：
Equivalent Kernel Representations / 3.2.1：
Equivalent IO Representations / 3.2.2：
Equivalent State-Space Representations / 3.2.3：
Properties of LPV Systems and Representations / 3.3：
State-Observability and Reachability / 3.3.1：
Stability of LPV Systems / 3.3.2：
Gramians of LPV State-Space Representations / 3.3.3：
LPV Equivalence Transformations / 3.4：
State-Space Canonical Forms / 4.1：
The Observability Canonical Form / 4.1.1：
Reachability Canonical Form / 4.1.2：
Companion Canonical Forms / 4.1.3：
Transpose of SS Representations / 4.1.4：
LTI vs. LPV State Transformation / 4.1.5：
From State-Space to the Input-Output Domain / 4.2：
From the Input-Output to the State-Space Domain / 4.3：
The Idea of Recursive State-Construction / 4.3.1：
Cut-and-Shift in Continuous-Time / 4.3.2：
Cut-and-Shift in Discrete-Time / 4.3.3：
State-Maps and Polynomial Modules / 4.3.4：
State-Maps Based on Kernel Representations / 4.3.5：
State-Maps Based on Image-Representations / 4.3.6：
State-Construction in the MIMO Case / 4.3.7：
LPV Series-Expansion Representations / 4.4：
Relevance of Series-Expansion Representations / 5.1：
Impulse Response Representation of LPV Systems / 5.2：
Filter Form of LPV-IO Representations / 5.2.1：
Series Expansion in the Pulse Basis / 5.2.2：
The Impulse Response Representation / 5.2.3：
LPV Series Expansion by OBFs / 5.3：
The OBF Expansion Representation / 5.4：
Series Expansions and Gain-Scheduling / 5.5：
The Role of Gain-Scheduling / 5.5.1：
Optimality of the Basis in the Frozen Sense / 5.5.2：
Optimality of the Basis in the Global Sense / 5.5.3：
Discretization of LPV Systems / 5.6：
The Importance of Discretization / 6.1：
Discretization of LPV System Representations / 6.2：
Discretization of State-Space Representations / 6.3：
Complete Method / 6.3.1：
Approximative State-Space Discretization Methods / 6.3.2：
Discretization Errors and Performance Criteria / 6.4：
Local Discretization Errors / 6.4.1：
Global Convergence and Preservation of Stability / 6.4.2：
Guaranteeing a Desired Level of Discretization Error / 6.4.3：
Switching Effects / 6.4.4：
Properties of the Discretization Approaches / 6.5：
Discretization and Dynamic Dependence / 6.6：
Numerical Example / 6.7：
LPV Modeling of Physical Systems / 6.8：
Towards Model Structure Selection / 7.1：
General Questions of LPV Modeling / 7.2：
Modeling of Nonlinear Systems in the LPV Framework / 7.3：
First Principle Models / 7.3.1：
Linearization Based Approximation Methods / 7.3.2：
Multiple Model Design Procedures / 7.3.3：
Substitution Based Transformation Methods / 7.3.4：
Automated Model Transformation / 7.3.5：
Summary of Existing Techniques / 7.3.6：
Translation of First Principle Models to LPV Systems / 7.4：
Problem Statement / 7.4.1：
The Transformation Algorithm / 7.4.2：
Handling Non-Factorizable Terms / 7.4.3：
Properties of the Transformation Procedure / 7.4.4：
Optimal Selection of OBFs / 7.5：
Perspectives of OBFs Selection / 8.1：
Kolmogorov n-Width Optimality in the Frozen Sense / 8.2：
The Fuzzy-Kolmogorov c-Max Clustering Approach / 8.3：
The Pole Clustering Algorithm / 8.3.1：
Properties of the FKcM / 8.3.2：
Simulation Example / 8.3.3：
Robust Extension of the FKcM Approach / 8.4：
Questions of Robustness / 8.4.1：
Basic Concepts of Hyperbolic Geometry / 8.4.2：
Pole Uncertainty Regions as Hyperbolic Objects / 8.4.3：
The Robust Pole Clustering Algorithm / 8.4.4：
Properties of the Robust FKcM / 8.4.5：
LPV Identification via OBFs / 8.4.6：
Aim and Motivation of an Alternative Approach / 9.1：
OBFs Based LPV Model Structures / 9.2：
The LPV Prediction-Error Framework / 9.2.1：
The Wiener and the Hammerstein OBF Models / 9.2.2：
Properties of Wiener and Hammerstein OBF Models / 9.2.3：
OBF Models vs. Other Model Structures / 9.2.4：
Identification of W-LPV and H-LPV OBF Models / 9.2.5：
Identification with Static Dependence / 9.3：
LPV Identification with Fixed OBFs / 9.3.1：
Local Approach / 9.3.3：
Global Approach / 9.3.4：
Examples / 9.3.5：
Approximation of Dynamic Dependence / 9.4：
Feedback-Based OBF Model Structures / 9.4.1：
Properties of Wiener and Hammerstein Feedback Models / 9.4.2：
Identification by Dynamic Dependence Approximation / 9.4.3：
Example / 9.4.4：
Extension towards MIMO Systems / 9.5：
Scalar Basis Functions / 9.5.1：
Multivariable Basis Functions / 9.5.2：
Multivariable Basis Functions in the Feedback Case / 9.5.3：
General Remarks on the MIMO Extension / 9.5.4：
Proofs / 9.6：
Proofs of Chapter 3 / A.1：
The Injective Cogenerator Property / A.1.1：
Existence of Full Row Rank KR Representation / A.1.2：
Elimination Property / A.1.3：
State-Kernel Form / A.1.4：
Left/Right-Side Unimodular Transformation / A.1.5：
Proofs of Chapter 5 / A.2：
LPV Series Expansion, Pulse Basis / A.2.1：
LPV Series Expansion, OBFs / A.2.2：
Proofs of Chapter 8 / A.3：
Optimal Partition / A.3.1：
h-Center Relation / A.3.2：
h-Segment Worst-Case Distance / A.3.4：
h-Disc Worst-Case Distance / A.3.6：
Convexity / A.3.7：
Optimal Robust Partition / A.3.8：
Proofs of Chapter 9 / A.4：
Representation of Dynamic Dependence / A.4.1：
References
Index
Introduction / 1：
New Challenges for System Identification / 1.1：
The Birth of LPV Systems / 1.2：
3.

Book
Book
3. An introduction to quantum spin systems
John B. Parkinson, Damian J.J. Farnell
Published: Berlin : Springer, c2010  xi, 154 p. ; 24 cm
Series: Lecture notes in physics ; 816
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Introduction / 1：
References
Spin Models / 2：
Spin Angular Momentum / 2.1：
Coupled Spins / 2.2：
Two Interacting Spin-1/2's / 2.3：
Commutators and Quantum Numbers / 2.4：
Physical Picture / 2.5：
Infinite Arrays of Spins / 2.6：
1D Heisenberg Chain with S = 1/2 and Nearest-Neighbour Interaction / 2.7：
Quantum Treatment of the Spin-1/2 Chain / 3：
General Remarks / 3.1：
Aligned State / 3.2：
Single Deviation States / 3.3：
Two Deviation States / 3.4：
Form of the States / 3.4.1：
Three Deviation States / 3.5：
States with an Arbitrary Number of Deviations / 3.5.1：
Reference
The Antiferromagnetic Ground State / 4：
The Fundamental Integral Equation / 4.1：
Solution of the Fundamental Integral Equation / 4.2：
The Ground State Energy / 4.3：
Antiferromagnetic Spin Waves / 5：
The Basic Formalism / 5.1：
Magnetic Field Behaviour / 5.2：
The XY Model / 6：
Change from Spin Operators to Fermion Operators / 6.1：
Fourier Transform / 6.3：
Quasiparticle Operators / 6.4：
Quasiparticle Energies / 6.5：
Ground State Energy of the XY-Model / 6.6：
Spin-Wave Theory / 7：
Ferromagnetic Spin-Wave Theory / 7.1：
Antiferromagnetic Spin-Wave Theory / 7.3：
Numerical Finite-Size Calculations / 8：
A Simple Example / 8.1：
Results in 1D / 8.3：
Results in 2D / 8.4：
Other Approximate Methods / 9：
Variational Method / 9.1：
Variational Monte Carlo Method / 9.3：
The Green Function Monte Carlo Method / 9.4：
Pertubation Theory / 9.5：
The Coupled Cluster Method / 10：
The CCM Formalism / 10.1：
The XXZ-Model / 10.3：
The LSUB2 Approximation for the Spin-Half, Square-Lattice XXZ-Model for the z-Aligned Model State / 10.3.1：
The SUB2 Approximation for the Spin-Half, Square-Lattice XXZ-Model of the z-Aligned Model State / 10.3.2：
High-Order CCM Calculations Using a Computational Approach / 10.3.3：
Excitation Spectrum of the Spin-Half Square-Lattice XXZ-Model for the z-Aligned Model State / 10.3.4：
The Lattice Magnetisation / 10.4：
Quantum Magnetism / 11：
One-Dimensional Models / 11.1：
The s = 1 Heisenberg Model on the Linear Chain / 11.2.1：
The s = 1 Heisenberg-Biquadratic Model on the Linear Chain / 11.2.3：
The s = 1/2 Heisenberg Model for Archimedean Lattices / 11.3：
Spin Plateaux / 11.4：
The Shastry-Sutherland Antiferromagnet / 11.5：
Conclusions / 11.7：
Index
Introduction / 1：
References
Spin Models / 2：
4.

Book
Book
4. Automotive model predictive control : models, methods and applications
Luigi del Re ... [et al.] (eds.)
Published: Berlin : Springer, c2010  xiii, 284 p. ; 24 cm
Series: Lecture notes in control and information sciences ; 402
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Table of Contents: Read more
Chances and Challenges in Automotive Predictive Control / Luigi del Re ; Peter Ortner ; Daniel Alberer1：
Introduction: The Rationale / 1.1：
Alternatives for Modeling / 1.2：
First Principles Models / 1.2.1：
Data-only Models / 1.2.2：
Advanced Use of Data / 1.2.3：
Alternatives for Optimization / 1.3：
Basic Algorithmic Approaches / 1.3.1：
Coping with Nonlinearity / 1.3.2：
Chances: State and Outlook / 1.4：
Conclusions / 1.5：
References
Models / Part I：
On Board NOx Prediction in Diesel Engines: A Physical Approach / Jean Arrégle ; J. Javier López ; Carlos Guardiola ; B Christelle Monin2：
Introduction / 2.1：
Main Physical/Chemical Mechanisms of NOx Formation/Destruction / 2.2：
NOx Re-burning / 2.2.1：
NOx Formation in LTC Conditions / 2.2.2：
Mechanisms and Model Sensitivity / 2.3：
Structure of Physically-based NOx Models / 2.3.1：
Flame Temperature Determination / 2.3.2：
Input Parameters Accuracy / 2.4：
Intake Air Mass Flow Rate Accuracy / 2.4.1：
Air + EGR Mixture Temperature and Oxygen Fraction / 2.4.2：
Mean Value Engine Models Applied to Control System Design and Validation / Pierre Olivier Calendini ; Stefan Breuer2.5：
State of the Art Mean Value Engine Model / 3.1：
System Model Structure as a Response to the Requirements / 3.2：
Bond Graph Applied to Mean Value Engine Models / 3.2.1：
Naturally Aspirated and Turbocharged Engine in Bond Graph Structure / 3.2.2：
Basic Blocs for Building Mean Value Models / 3.3：
The Volume Bloc / 3.3.1：
The Gas Exchange Bloc / 3.3.2：
Heat Exchange Models / 3.3.3：
Combustion Model Possibilities / 3.3.4：
Environment Model / 3.3.5：
Application Example: Choice of an Air Loop Control Strategy / 3.4：
Implementation of the Robustness Simulation / 3.4.1：
Results of the Robustness Simulations / 3.4.2：
Physical Modeling of Turbocharged Engines and Parameter Identification / Lars Eriksson ; Johan Wahlström ; Markus Klein3.5：
MVEM Modeling / 4.1：
Library Development / 4.2.1：
Building Blocks: Component Models / 4.2.2：
The Engine Cylinders: Flow, Temperature, and Torque / 4.2.3：
Implementation Examples / 4.2.4：
Modeling of a Diesel Engine with EGR/VGT / 4.3：
Experimental Data / 4.3.1：
Minimum Number of States / 4.3.2：
Model Extensions / 4.3.3：
Gray-Box Models and Identification / 4.4：
Dynamic Engine Emission Models / Markus Hirsch ; Klaus Oppenauer4.5：
Data-based Model Identification / 5.1：
Mean Value Emission Model / 5.3：
Input Selection / 5.3.1：
Model Structure / 5.3.2：
Parameter Identification / 5.3.3：
Regressor Selection / 5.3.4：
Realization and Results / 5.3.5：
Crank Angle Based Emission Model / 5.4：
Workflow / 5.4.1：
1-zone Process Calculation / 5.4.2：
2-zone Model / 5.4.3：
Emission Models / 5.4.4：
Model Development and Verification / 5.4.5：
Data for Identification: Input Design / 5.5：
Limitations / 5.6：
Summary / 5.7：
Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics / Rolf Johansson ; Per TunestÃ¥l ; Anders Widd6：
HCCI Modeling / 6.1：
Fuel Modeling / 6.2.1：
Auto-ignition Modeling / 6.2.2：
Thermal Modeling and Auto-ignition / 6.2.3：
Experiments / 6.3：
Model Predictive Control / 6.3.1：
Methods / 6.4：
An Overview of Nonlinear Model Predictive Control / Lalo Magni ; Riccardo Scattolini7：
Problem Formulation and State-feedback NMPC Control Law / 7.1：
Feasibility and Stability in Nominal Conditions / 7.2.1：
The Robustness Problem / 7.2.2：
Output Feedback and Tracking / 7.3：
Output Feedback / 7.3.1：
Tracking / 7.3.2：
Implementation Problems and Alternative Approaches / 7.4：
Optimal Control Using Pontryagin's Maximum Principle and Dynamic Programming / Bart Saerens ; Moritz Diehl ; Eric Van den Bulck8：
Optimal Control / 8.1：
Pontryagin's Maximum Principle / 8.2.1：
Dynamic Programming / 8.2.2：
Vehicle and Powertrain Model / 8.3：
Vehicle and Driveline Model / 8.3.1：
Engine Model / 8.3.2：
Minumum-fuel Acceleration with the Maximum Principle / 8.4：
Minumum-fuel Acceleration with Dynamic Programming / 8.5：
Discussion of the Results / 8.6：
Comparison between the Maximum Principle and Dynamic Programming / 8.6.1：
Comparison with Other Research / 8.6.2：
On the Use of Parameterized NMPC in Real-time Automotive Control / Mazen Alamir ; André Murilo ; Rachid Amari ; Paolina Tona ; Richard Fürhapter8.7：
The Parameterized NMPC: Definitions and Notation / 9.1：
Example 1: Diesel Engine Air Path Control / 9.3：
Example 2: Automated Manual Transmission Control / 9.4：
Conclusion / 9.5：
Applications / Part III：
An Application of MPC Starting Automotive Spark Ignition Engine in SICE Benchmark Problem / Akira Ohata ; Masaki Yamakita10：
Control Design Strategy in MBD / 10.1：
Benchmark Problem / 10.3：
Application of MPC / 10.4：
Model Predictive Control of Partially Premixed Combustion / Magnus Lewander10.5：
Experimental Setup / 11.1：
PPC Definition / 11.3：
Control / 11.4：
Control Design / 11.4.1：
Results / 11.5：
Response to EGR Disturbance / 11.5.1：
Response to Load Changes / 11.5.2：
Response to Speed Changes / 11.5.3：
Discussion / 11.6：
Model Predictive Powertrain Control: An Application to Idle Speed Regulation / Stefano Di Cairano ; Diana Yanakiev ; Alberto Bemporad ; Ilya Kolmanovsky ; Davor Hrovat11.7：
Engine Model for Idle Speed Control / 12.1：
Control-oriented Model and Controller Design / 12.3：
Controller Synthesis and Refinement / 12.4：
Feedback Law Synthesis and Functional Assessment / 12.4.1：
Prediction Model Refinement / 12.4.2：
Experimental Validation / 12.5：
On Low Complexity Predictive Approaches to Control of Autonomous Vehicles / Paolo Falcone ; Francesco Borrelli ; Eric H. Tseng12.6：
Introduction to Autonomous Guidance Systems / 13.1：
Vehicle Modeling / 13.2：
Low Complexity Predictive Path Following / 13.3：
Two Levels Autonomous Path Following / 13.3.1：
Single Level Autonomous Path Following / 13.3.2：
Toward a Systematic Design for Turbocharged Engine Control / Greg Stewart ; Jaroslav Pekar ; David Germann ; Daniel Pachner ; Dejan Kihas13.4：
Engine Control Requirements / 14.1：
Steady-state Engine Calibration / 14.2.1：
Control Functional Development / 14.2.2：
Functional Testing / 14.2.3：
Software Development / 14.2.4：
Integration / 14.2.5：
Calibration / 14.2.6：
Certification / 14.2.7：
Release and Post-release Support / 14.2.8：
Iteration Loops / 14.2.9：
Modeling and Control for Turbocharged Engines / 14.3：
Modeling / 14.3.1：
Model Predictive Control and Computational Complexity / 14.4：
Explicit Predictive Control / 14.4.1：
On the Complexity of Explicit MPC Control Laws / 14.4.2：
Summary and Conclusions / 14.5：
An Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results / Giovanni Palmieri ; Osvaldo Barbarisi ; Stefano Scala ; Luigi Glielmo15：
Full Vehicle Model / 15.1：
Lateral Vehicle Dynamic Control Strategy / 15.3：
Reference Signals / 15.3.1：
Estimation of Tire Variables / 15.3.2：
Supervisor / 15.3.3：
An Alternative 2PI Regulator / 15.3.4：
A Reduced Model for Slip Control / 15.4：
A Slip Control Strategy / 15.5：
Feedback Action / 15.5.1：
Simulation Results / 15.6：
MIMO Model Predictive Control for Integral Gas Engines / Jakob Ängeby ; Matthias Huschenbett15.7：
System Description / 16.1：
Problem Statement / 16.3：
Implementation / 16.4：
Objective Function / 16.5.1：
Model Derivation / 16.5.2：
Real-time MPC / 16.6：
A Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control / Gerrit J.L. Naus ; Jeroen Ploeg ; M.J.G. Van de Molengraft ; W.P.M.H. Heemels ; Maarten Steinbuch16.8：
Problem Formulation / 17.1：
Quantification Measures / 17.2.1：
Parameterization / 17.2.2：
Model Predictive Control Problem Setup / 17.3：
Control Objectives and Constraints / 17.3.1：
Control Problem / Cost Criterion Formulation / 17.3.3：
Controller Design / 17.4：
Implementation Issues / 17.4.1：
Conclusions and Future Work / 17.4.3：
Author Index
Chances and Challenges in Automotive Predictive Control / Luigi del Re ; Peter Ortner ; Daniel Alberer1：
Introduction: The Rationale / 1.1：
Alternatives for Modeling / 1.2：
5.

Book
Book
5. Symmetry, group theory, and the physical properties of crystals
Richard C. Powell
Published: New York : Springer, c2010  viii, 230 p. ; 24 cm
Series: Lecture notes in physics ; 824
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Table of Contents: Read more
Symmetry in Solids / 1：
Symmetry / 1.1：
Crystal Structures / 1.2：
Symmetry in Reciprocal Space / 1.3：
Problems / 1.4：
References
Group Theory / 2：
Basic Concepts of Group Theory / 2.1：
Character Tables / 2.2：
Group Theory Examples / 2.3：
Group Theory in Quantum Mechanics / 2.3.1：
Tensor Properties of Crystals / 2.5：
First-Rank Matter Tensors / 3.1：
Second-Rank Matter Tensors / 3.2：
Third-Rank Matter Tensors / 3.3：
Fourth-Rank Matter Tensors / 3.4：
Symmetry Properties of Point Defects in Solids / 3.5：
Energy Levels of Free Ions / 4.1：
Crystal Field Symmetry / 4.2：
Energy Levels of Ions in Crystals / 4.3：
Example: d-Electrons / 4.4：
Example: f-Electrons / 4.5：
Symmetry and the Optical Properties of Crystals / 4.6：
Tensor Treatment of Polarization / 5.1：
Birefringence / 5.2：
Optical Activity / 5.3：
Electrooptical Effect / 5.4：
Photoelastic Effect / 5.5：
Nonlinear Optics / 5.6：
Basic Concepts / 6.1：
Effective Nonlinear Optical Coefficient / 6.2：
Index Matching / 6.3：
Maximizing SHG Efficiency / 6.4：
Two-Photon Absorption / 6.5：
Symmetry and Lattice Vibrations / 6.6：
Symmetry and Local Mode Vibrations / 7.1：
Symmetry and Lattice Vibrational Modes / 7.2：
Transitions Between Vibrational Energy Levels / 7.3：
Radiationless Transitions / 7.3.1：
Infrared Transitions / 7.3.2：
Raman Scattering / 7.4：
Jahn-Teller Effect / 7.5：
Symmetry and Electron Energy Levels / 7.6：
Symmetry and Molecular Bonds / 8.1：
Character Tables for Space Groups / 8.2：
Electron Energy Bands / 8.3：
Symmetry Properties of Electron Energy Bands / 8.4：
Index / 8.5：
Symmetry in Solids / 1：
Symmetry / 1.1：
Crystal Structures / 1.2：
6.

Book
Book
6. The theory of turbulence : Subrahmanyan Chandrasekhar's 1954 lectures
Edward A. Spiegel, editor
Published: Dordrecht ; Heidelberg : Springer, c2011  xiii, 117 p. ; 24 cm
Series: Lecture notes in physics ; 810
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Table of Contents: Read more
Prologue
The Turbulence Problem / 1：
The Meaning of 'Turbulence' / 1.1：
Two Fundamental Aspects of Turbulence / 1.2：
The Net Energy Balance / 2：
Interchange of Energy Between States of Motion / 3：
Some Remarks / 4：
On the Harmonic Analysis / 4.1：
On the Concept of Isotropy / 4.2：
On the Possiblity of a Universal Theory / 4.3：
The Spectrum of Turbulent Energy / 5：
The Spectrum / 5.1：
An Equation for the Spectrum / 5.2：
Some Preliminaries to the Development of a Theory of Turbulence / 6：
Heisenberg's Theory of Turbulence / 7：
The Fundamental Equation of the Theory / 7.1：
Chandrasekhar's Solution of (7.17) for the Case of Stationary Turbulence / 7.2：
Fermi's Approach / 8：
Kolmogorov's Theory / 8.2：
The Method of von Neumann / 8.3：
Conclusion / 8.4：
An Alternate Approach: Correlations / 9：
The Equations of Isotropic Turbulence / 10：
The Concept of Isotropy / 10.1：
Two More Examples / 10.2：
Solenoidal Isotropic Tensors / 10.3：
Further Manipulations / 10.3.1：
The Karman-Howarth Equations / 10.3.3：
The Meanings of the Defining Scalars / 12：
Some Results from the Karman-Howarth Equation / 13：
The Taylor Microscale / 13.1：
The Study of the Decay of Turbulence / 13.2：
The Connection Between the Karman-Howarth Equation and the Kolmogorov Theory / 13.3：
The Double Correlation / 13.3.1：
The Triple Correlation / 13.3.2：
The Relation Between the Fourth and Second Order Correlations When the Velocity Follows a Gaussian Distribution / 14：
Some Properties of the Gaussian Distribution / 14.1：
One-Dimensional Gaussian Distribution / 14.1.1：
n-Dimensional Gaussian Function / 14.1.2：
Two-Dimensional Gaussian Function / 14.1.3：
Addition Theorem for Gaussian Distributions / 14.2：
Proof of (14.2) / 14.3：
Chandrasekhar's Theory of Turbulence / 15：
A More Subjective Approach to the Derivation of Chandrasekhar's Equation / 16：
The Dimensionless Form of Chandrasekhar's Equation / 17：
Some Aspects and Advantages of the New Theory / 18：
A Mathematical Justification of the Assumptions of the Heisenberg Theory / 18.1：
Compatibility with the Kolmogorov Theory / 18.2：
The Problem of Introducing the Boundary Conditions / 19：
Discussion of the Case of Negligible Inertial Term / 20：
The Case in Which Viscosity Is Neglected / 21：
Solution of the Non-Viscous Case Near r = 0 / 22：
Solution of the Heat Equation / 23：
Solution of the Quasi-Wave Equation / 24：
The Introduction of Boundary Conditions / 25：
Epilogue
Prologue
The Turbulence Problem / 1：
The Meaning of 'Turbulence' / 1.1：
7.

Book
Book
7. An introduction to two-dimensional quantum field theory with (0, 2) supersymmetry
Ilarion V. Melnikov
Published: [Cham] : Springer, c2019  xv, 482 p. ; 24 cm
Series: Lecture notes in physics ; v. 951
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8.

Book
Book
8. Materials : engineering, science, processing and design. 2nd ed
Michael Ashby, Hugh Shercliff and David Cebon
Published: Oxford : Butterworth-Heinemann, c2010  xxiv, 525, 19, 64, 18, 14 p. ; 26 cm
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9.

Book
Book
9. Principles and methods of quantum information technologies
Yoshihisa Yamamoto, Kouichi Semba, editors
Published: Tokyo : Springer, c2016  xi, 624 p. ; 24 cm
Series: Lecture notes in physics ; 911
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10.

Book
Book
10. Elementary linear algebra with supplemental applications. 10th ed
Howard Anton, Chris Rorres
Published: Hoboken, N.J. : John Wiley & Sons, c2011  xiv, 777 p. ; 26 cm
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Table of Contents: Read more
Systems of Linear Equations and Matrices / Chapter 1：
Determinants / Chapter 2：
Euclidean Vector Spaces / Chapter 3：
General Vector Spaces / Chapter 4：
Eignvalues and Eigenvectors / Chapter 5：
Inner Product Spaces / Chapter 6：
Diagonalization and Quadratic Forms / Chapter 7：
Linear Transformations / Chapter 8：
Numerical Methods / Chapter 9：
Applications of Linear Algebra / Chapter 10：
Systems of Linear Equations and Matrices / Chapter 1：
Determinants / Chapter 2：
Euclidean Vector Spaces / Chapter 3：
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