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1.

図書
図書
1. An introduction to two-dimensional quantum field theory with (0, 2) supersymmetry
Ilarion V. Melnikov
出版情報: [Cham] : Springer, c2019  xv, 482 p. ; 24 cm
シリーズ名: Lecture notes in physics ; v. 951
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2.

図書
図書
2. An invitation to quantum field theory
Luis Álvarez-Gaumé, Miguel Á. Vázquez-Mozo
出版情報: Berlin : Springer, c2012  xi, 294 p. ; 24 cm
シリーズ名: Lecture notes in physics ; v. 839
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3.

図書
図書
3. Principles and methods of quantum information technologies
Yoshihisa Yamamoto, Kouichi Semba, editors
出版情報: Tokyo : Springer, c2016  xi, 624 p. ; 24 cm
シリーズ名: Lecture notes in physics ; 911
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4.

図書
図書
4. Interest rate derivatives : valuation, calibration and sensitivity analysis (: [pbk.])
Ingo Beyna
出版情報: Berlin : Springer, c2013  xviii, 209 p. ; 24 cm
シリーズ名: Lecture notes in economics and mathematical systems ; 666
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5.

図書
図書
5. Automotive model predictive control : models, methods and applications
Luigi del Re ... [et al.] (eds.)
出版情報: Berlin : Springer, c2010  xiii, 284 p. ; 24 cm
シリーズ名: Lecture notes in control and information sciences ; 402
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目次情報: 続きを見る
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：
6.

図書
図書
6. Modeling and identification of linear parameter-varying systems
Roland Tóth
出版情報: Berlin : Springer, c2010  xxiv, 319 p. ; 24 cm
シリーズ名: Lecture notes in control and information sciences ; 403
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目次情報: 続きを見る
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：
7.

図書
図書
7. Introduction to the functional renormalization group
P. Kopietz, L. Bartosch, F. Schütz
出版情報: Berlin : Springer, c2010  xiv, 375 p. ; 25 cm
シリーズ名: Lecture notes in physics ; 798
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8.

図書
図書
8. Perspectives in mathematical system theory, control, and signal processing : a festschrift in honor of Yutaka Yamamoto on the occasion of his 60th birthday
Jan C. Willems ... [et al.], eds
出版情報: Berlin : Springer, c2010  xix, 388 p. ; 24 cm
シリーズ名: Lecture notes in control and information sciences ; 398
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目次情報: 続きを見る
Circuit Theory / Part I：
Old and New Directions of Research in System Theory / Rudolf Kalman
Regular Positive-Real Functions and the Classification of Transformerless Series-Parallel Networks / Jason Zheng Jiang ; Malcolm C. Smith
Ports and Terminals / Jan C. Willems
Control / Part II：
On the Sample Complexity of Probabilistic Analysis and Design Methods / Teodoro Alamo ; Roberto Tempo ; Amalia Luque
A Constant Factor Approximation Algorithm for Event-Based Sampling / Randy Cogill ; Sanjay Lall ; João P. Hespanha
A Unified Approach to Decentralized Cooperative Control for Large-Scale Networked Dynamical Systems / Shinji Hara
Control and Stabilization of Linear Equation Solvers / Uwe Helmke ; Jens Jordan
Nonlinear Output Regulation: A Unified Design Philosophy / Alberto Isidori
An Estimated General Cross Validation Function for Periodic Control Theoretic Smoothing Splines / Maja Karasalo ; Xiaoming Hu ; Clyde F. Martin
Stable H∞ Controller Design for Systems with Time Delays / Hitay Özbay
Dynamic Quantization for Control / Toshiharu Sugie ; Shun-ichi Azuma ; Yuki Minami
Graphs and Networks / Part III：
Convergence of Periodic Gossiping Algorithms / Brian D.O. Anderson ; Changbin Yu ; A. Stephen Morse
Distributed PageRank Computation with Link Failures / Hideaki Ishii
Predicting Synchrony in a Simple Neuronal Network / Sachin S. Talathi ; Pramod P. Khargonekar
Mathematical System Theory / Part IV：
On the Stability and Instability of Padé Approximants / Christopher I. Byrnes ; Anders Lindquist
On the Use of Functional Models in Model Reduction / Paul A. Fuhrmann
Quadratic Performance Verification for Boundary Value Systems / Hisaya Fujioka
Lyapunov Stability Analysis of Higher-Order 2-D Systems / Chiaki Kojima ; Paolo Rapisarda ; Kiyotsugu Takaba
From Lifting to System Transformation / Yoshito Ohta
Contractive Systems with Inputs / Eduardo D. Sontag
Dissipativity and Stability Analysis Using Rational Quadratic Differential Forms
On Behavioral Equivalence of Rational Representations / Harry L. Trentelman
Modeling / Part V：
Modeling and Stability Analysis of Controlled Passive Walking / Kentaro Hirata
An Optimization Approach to Weak Approximation of Lévy-Driven Stochastic Differential Equations / Kenji Kashima ; Reiichiro Kawai
Compound Control: Capturing Multivariate Nature of Biological Control / Hidenori Kimura ; Shingo Shimoda ; Reiko J. Tanaka
Law of Large Numbers, Heavy-Tailed Distributions, and the Recent Financial Crisis / Mathukumalli Vidyasagar
Signal Processing / Part VI：
Markov Models for Coherent Signals: Extrapolation in the Frequency Domain / Roger W. Brockett
Digital Signal Processing and the YY Filter / Bruce Francis
Sparse Blind Source Separation via ℓ1-Norm Optimization / Tryphon T. Georgiou ; Allen Tannenbaum
YY Filter—A Paradigm of Digital Signal Processing / Masaaki Nagahara
System Identification / Part VII：
How to Sample Linear Mechanical Systems / Mattia Bruschetta ; Giorgio Picci ; Alessandro Saccon
A Note on LQ Decomposition in Stochastic Subspace Identification / Tohru Katayama
Modeling Systems Based on Noisy Frequency and Time Domain Measurements / Sanda Lefteriu ; Antonio C. lonita ; Athanasios C. Antoulas
Blind Identification of Polynomial Matrix Fraction with Applications / Kenji Sugimoto
Author Index
Circuit Theory / Part I：
Old and New Directions of Research in System Theory / Rudolf Kalman
Regular Positive-Real Functions and the Classification of Transformerless Series-Parallel Networks / Jason Zheng Jiang ; Malcolm C. Smith
9.

図書
図書
9. Quantum quenching, annealing and computation
A.K. Chandra, A. Das, B.K. Chakrabarti (eds.)
出版情報: Berlin : Springer, c2010  xi, 307 p. ; 24 cm
シリーズ名: Lecture notes in physics ; 802
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10.

図書
図書
10. Intermediate microeconomics : a modern approach. 8th ed
Hal R. Varian
出版情報: New York : W.W. Norton, c2010  xxiv, 739, 40 p. ; 25 cm
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