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• Title Page; Copyright; About the Authors; Preface; Acknowledgements; Part One: Fundamental Theory;
• Chapter 1: Introduction; 1.1 Background and Motivation; 1.2 A Brief History of Complex Network Research; 1.3 New Era of Complex-Network Studies; Exercises; References;
• Chapter 2: Preliminaries; 2.1 Elementary Graph Theory; 2.2 Elementary Probability and Statistics; 2.3 Elementary Dynamical Systems Theory; Exercises; References;
• Chapter 3: Network Topologies: Basic Models and Properties; 3.1 Introduction; 3.2 Regular Networks; 3.3 ER Random-Graph Model; 3.4 Small-World Network Models

• 3.5 Navigable Small-World Network Model3.6 Scale-Free Network Models; Exercises; References; Part Two: Applications
• Selected Topics; Chapter 4: Internet: Topology and Modeling; 4.1 Introduction; 4.2 Topological Properties of the Internet; 4.3 Random-Graph Network Topology Generator; 4.4 Structural Network Topology Generators; 4.5 Connectivity-Based Network Topology Generators; 4.6 Multi-Local-World Model; 4.7 HOT Model; 4.8 Dynamical Behaviors of the Internet Topological Characteristics; 4.9 Traffic Fluctuation on Weighted Networks; References; Chapter 5: Epidemic Spreading Dynamics

• 5.1 Introduction5.2 Epidemic Threshold Theory; 5.3 Epidemic Spreading on Spatial Networks; 5.4 Immunization on Complex Networks; 5.5 Computer Virus Spreading over the Internet; References;
• Chapter 6: Community Structures; 6.1 Introduction; 6.2 Community Structure and Modularity; 6.3 Modularity-Based Community Detecting Algorithms; 6.4 Other Community Partitioning Schemes; 6.5 Some Recent Progress; References;
• Chapter 7: Network Games; 7.1 Introduction; 7.2 Two-Player/Two-Strategy Evolutionary Games on Networks; 7.3 Multi-Player/Two-Strategy Evolutionary Games on Networks

• 7.4 Adaptive Evolutionary Games on NetworksReferences;
• Chapter 8: Network Synchronization; 8.1 Introduction; 8.2 Complete Synchronization of Continuous-Time Networks; 8.3 Complete Synchronization of Some Typical Dynamical Networks; 8.4 Phase Synchronization; References;
• Chapter 9: Network Control; 9.1 Introduction; 9.2 Spatiotemporal Chaos Control on Regular CML; 9.3 Pinning Control of Complex Networks; 9.4 Pinning Control of General Complex Networks; 9.5 Time-Delay Pinning Control of Complex Networks; 9.6 Consensus and Flocking Control; References

• Chapter
• 10: Brief Introduction to Other Topics10.1 Human Opinion Dynamics; 10.2 Human Mobility and Behavioral Dynamics; 10.3 Web PageRank, SiteRank and BrowserRank; 10.4 Recommendation Systems; 10.5 Network Edge Prediction; 10.6 Living Organisms and Bionetworks; 10.7 Cascading Reactions on Networks; References; Index; End User License Agreement

Complex networks such as the Internet, WWW, transportation networks, power grids, biological neural networks, and scientific cooperation networks of all kinds provide challenges for future technological development. The first systematic presentation of dynamical evolving networks, with many up-to-date applications and homework projects to enhance study The authors are all very active and well-known in the rapidly evolving field of complex networks Complex networks are becoming an increasingly important area of research Presented in a logical, constructive style, from basic through to complex, examining algorithms, through to construct networks and research challenges of the future.
(source: Nielsen Book Data)

• Each chapters ends with a problem set Fuzzy Set Theory: Classical Set Theory Fuzzy Set Theory Interval Arithmetic Operations on Fuzzy Sets: Fuzzy Logic Theory Classical Logic Theory The Boolean Algebra Multi-Valued Logic Fuzzy Logic and Approximate Reasoning Fuzzy Relations Some Applications of Fuzzy Logic Product Quality Evaluation Decision Making for Investment Performance Evaluation Miscellaneous Examples Fuzzy Rule Base and Fuzzy Modeling Fuzzy Rule Base Fuzzy Modeling Fuzzy Control Systems Classical Programmable Logic Control Fuzzy Logic Control: A General Model-Free Approach Fuzzy PID Control Systems Conventional PID Controllers Fuzzy PID Controllers (Type 1) Fuzzy PID Controllers (Type 2) Fuzzy PID Controllers: Stability Analysis Computational Verb Fuzzy Controllers Computational Verbs and Verb Numbers Verb Rules and Verb Inference Computational Verb-Based Fuzzy PID Controllers References Solutions Index...
• (source: Nielsen Book Data)

"Introduction to Fuzzy Systems" provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. "Introduction to Fuzzy Systems" is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.
(source: Nielsen Book Data)

• Part 1 Prologue - chaos and order
• ordering chaos
• organization of the monograph. Part 2 Parametric variation approaches: parametric variation for control of chaos
• an earlier attempt
• the OGY method and its variants
• new development. Part 3 Conventional engineering control approaches: engineering perspectives on control of chaos
• controlling chaos via external forces
• open-loop control methods
• feedback mechanism - a control engineer's perspective
• controlling discrete-time chaotic systems
• controlling continuous-time chaotic systems
• a closer look at Lyapunov-type approach
• adaptive control of chaotic systems
• optimal control of chaotic systems
• robust control of chaotic systems
• a stochastic control technique
• new development. Part 4 Other approaches to controlling chaos: intelligent control approaches
• controlling chaos in DAI systems
• synchronization and control of chaos
• unification of synchronization and control
• new development. Part 5 Some applications of controlling chaos: chaotic synchronization for secure communication
• chaos and biomedical systems
• chaos and biochemical systems
• controlling chaos of laser systems
• controlling chaos in fluid dynamics
• new development. Part 6 Controlling chaos - further discussions: general perspectives
• to probe further
• toward an integrated and unified framework.
• (source: Nielsen Book Data)

Ordering (or controlling) chaos is a new concept, which has recently attracted much attention from the communities of mathematics, physics, engineering and biomedical and computer sciences. This publication offers an introduction to various successful methods for the control of chaos in nonlinear dynamical systems. The authors intend to present a self-contained, elementary and rigorous treatment of the subject, and to provide a firm basis for the further study and research in this rapidly developing direction, in the important field of nonlinear systems dynamics and control.
(source: Nielsen Book Data)

• Preface Introduction From Deterministic to Stochastic Linear Control Systems Text Organization and Reading Suggestion MATHEMATICAL PRELIMINARIES Probability and Random Processes Probability, Measure, and Integration Convergence of Random Sequences Random Vectors and Conditional Expectations Second Order Processes and Calculus in Mean Square Exercises References Ito Integrals and Stochastic Differential Equations Markov Processes Orthogonal Increments Processes and the Wiener-Levy Process Ito Integrals and Stochastic Differential Equations Exercises References LINEAR STOCHASTIC CONTROL SYSTEMS: THE DISCRETE-TIME CASE Analysis of Discrete-Time Linear Stochastic Control Systems Analysis of Discrete-Time Causal LTI Systems Analysis of Causal LTI Stochastic Control Systems Analysis of the "State" Description of Controlled Markov Chains State Space Systems and ARMA Models Mathematical Modeling and Applications Exercises References Optimal Estimation for Discrete-Time Linear Stochastic Systems Optimal State Estimation Recursive Optimal Estimation and Kalman Filtering Modified Kalman Filtering Algorithms Exercises References Optimal Control of Discrete-Time Linear Stochastic Systems Introduction Dynamic Programming and LQC Control Problems LQC Optimal Control Problems Adaptive Stochastic Control Exercises References LINEAR STOCHASTIC CONTROL SYSTEMS: THE CONTINUOUS-TIME CASE Continuous-Time Linear Stochastic Control Systems Analysis of Continuous-Time Causal LTI Systems Further Discussion of Markov Processes Dynamic Programming and LQ Control Problems Exercises References Optimal Control of Continuous-Time Linear Stochastic Systems The Continuous-Time LQ Stochastic Control Problem Stochastic Dynamic Programming Innovation Processes and the Kalman-Bucy Filter Optimal Prediction and Smoothing The Separation Principle Exercises References Stability Analysis of Stochastic Differential Equations Stability of Deterministic Systems Stability of Stochastic Systems Stability of Moments Exercises References Appendix Fundamental Real and Functional Analysis Fundamental Matrix Theory and Vector Calculations Martingales References Index.
• (source: Nielsen Book Data)

"Linear Stochastic Control Systems" presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of the modern probability and random processes theories and the Ito stochastic differential equations are provided. Discrete-time stochastic systems theory, optimal estimation and Kalman filtering, and optimal stochastic control theory are studied in detail. A modern treatment of these same topics for continuous-time stochastic control systems is included.The text is written in an easy-to-understand style, and the reader needs only to have a background of elementary real analysis and linear deterministic systems theory to comprehend the subject matter. This graduate textbook is also suitable for self-study, professional training, and as a handy research reference. "Linear Stochastic Control Systems" is self-contained and provides a step-by-step development of the theory, with many illustrative examples, exercises, and engineering applications.
(source: Nielsen Book Data)

• Fathers in the Greco-Roman world
• God as Father in the Old Testament
• God as Father in second temple Judaism
• God as Father of Luke-Acts
• Concluding reflections.

God as Father in Luke-Acts argues that 'Father' is the central image for God in Luke-Acts by tracing a line of continuity in the portrayal of God as Israel's merciful, faithful, and authoritative Father from the Old Testament to Luke-Acts and its Second Temple Jewish milieu. The fulfillment of the promises to Abraham, David, and Israel in Jesus is best understood as the fatherly actions of Israel's God. Furthermore, the striking similarities between God as Father and Augustus as Pater Patriae undermine the assertion of the Lukan view of the Roman Empire as highly polemical.
(source: Nielsen Book Data)

הספר דיפלומט ואיש סוד זורה אור על דמותו של וולטר איתן, המייסד והמנכ"ל המיתולוגי של משרד החוץ, שרוחב היריעה של פועלו מסווג אותו כאיש מופת על במת העשייה של מערכות הממשל בישראל. מאחורי חזותו האפרורית והצנועה, ניצבה דמות רבת פעלים, סוג של רב-אמן שדילג בקלילות מעולם הצללים אל חזית הדיפלומטיה. הספר ממקד מבט אל מהלכים דיפלומטיים מרתקים בהובלתו של וולטר איתן בצמתי זמן שונים; אל העימות הסוער בין משרד החוץ לבין משרד הביטחון, האינטריגות הבינאישיות בצמרת, ואינו פוסח על התקופה המאתגרת של מלחמת ששת הימים, עת כיהן איתן כשגריר ישראל בפאריס. בפרק מיוחד חושף המחבר את פועלו של וולטר איתן (אטינגהאוזן) ב'בלצ'לי פארק', מרכז העצבים של המודיעין הבריטי בעת מלחמת העולם השנייה. כמי שהופקד על מחלקת ההתרעה באגף הימי ב'בלצ'לי', השכיל להזרים תוצרי מודיעין, בזמן אמת, מפיצוח ועיבוד תשדורות מוצפנות של מכונת ה'אניגמה', שתרמו תרומה מהותית לניצחון המכריע של בעלות הברית על צי הצוללות הגרמני (הU-boats) שנחשב לזרוע האסטרטגית של מכונת המלחמה של היטלר. השרות ב'בלצלי' יחשוף את וולטר גם ליחס המנוכר של הצמרת הבריטית כלפי שואת העם היהודי, חרף זמינותו של מידע מודיעיני מפורט אודות זוועות הנאצים. הספר דיפלומט ואיש סוד זורה אור על דמותו של וולטר איתן, המייסד והמנכ"ל המיתולוגי של משרד החוץ, שרוחב היריעה של פועלו מסווג אותו כאיש מופת על במת העשייה של מערכות הממשל בישראל. מאחורי חזותו האפרורית והצנועה, ניצבה דמות רבת פעלים, סוג של רב-אמן שדילג בקלילות מעולם הצללים אל חזית הדיפלומטיה. הספר ממקד מבט אל מהלכים דיפלומטיים מרתקים בהובלתו של וולטר איתן בצמתי זמן שונים; אל העימות הסוער בין משרד החוץ לבין משרד הביטחון, האינטריגות הבינאישיות בצמרת, ואינו פוסח על התקופה המאתגרת של מלחמת ששת הימים, עת כיהן איתן כשגריר ישראל בפאריס. בפרק מיוחד חושף המחבר את פועלו של וולטר איתן (אטינגהאוזן) ב'בלצ'לי פארק', מרכז העצבים של המודיעין הבריטי בעת מלחמת העולם השנייה. כמי שהופקד על מחלקת ההתרעה באגף הימי ב'בלצ'לי', השכיל להזרים תוצרי מודיעין, בזמן אמת, מפיצוח ועיבוד תשדורות מוצפנות של מכונת ה'אניגמה', שתרמו תרומה מהותית לניצחון המכריע של בעלות הברית על צי הצוללות הגרמני (הU-boats) שנחשב לזרוע האסטרטגית של מכונת המלחמה של היטלר. השרות ב'בלצלי' יחשוף את וולטר גם ליחס המנוכר של הצמרת הבריטית כלפי שואת העם היהודי, חרף זמינותו של מידע מודיעיני מפורט אודות זוועות הנאצים.

• Preliminaries.- Kalman Filter: An Elementary Approach.- Orthogonal Projection and Kalman Filter.- Correlated System and Measurement Noise Processes.- Colored Noise.- Limiting Kalman Filter.- Sequential and Square-Root Algorithms.- Extended Kalman Filter and System Identification.- Decoupling of Filtering Equations.- Kalman Filtering for Interval Systems.- Wavelet Kalman Filtering.- Distributed Estimation on Sensor Networks.- Notes.- Answers and Hints to Exercises.
• (source: Nielsen Book Data)

• 9.2 Real-Time Tracking9.3 The α-β-γ Tracker; 9.4 An Example; 10 Kalman Filtering for Interval Systems; 10.1 Interval Mathematics; 10.1.1 Intervals and Their Properties; 10.1.2 Interval Arithmetic; 10.1.3 Rational Interval Functions; 10.1.4 Interval Expectation and Variance; 10.2 Interval Kalman Filtering; 10.2.1 The Interval Kalman Filtering Scheme; 10.2.2 Suboptimal Interval Kalman Filter; 10.2.3 An Example of Target Tacking; 10.3 Weighted-Average Interval Kalman Filtering; Exercises; 11 Wavelet Kalman Filtering; 11.1 Wavelet Preliminaries; 11.1.1 Wavelet Fundamentals.

This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.
(source: Nielsen Book Data)

• Preliminaries.- Kalman Filter, an Elementary Approach.- Orthogonal Projection and Kalman Filter.- Correlated System and Measurement Noise Processes.- Colored Noise.- Limiting Kalman Filter.- Sequential and Square Root Algorithms.- Extended Kalman Filter and System Identification.- Decoupling of Filtering Equations.- Kalman Filtering for Interval Systems.- Wavelet Kalman Filtering.- Notes.
• (source: Nielsen Book Data)

"Kalman Filtering with Real-Time Applications" presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics in this book includes Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous.The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge.
(source: Nielsen Book Data)

• Reconstructing Input-Output Dynamics from Time Series Black and Grey-Box Modeling of Nonlinear Systems: Identification and Analysis from Time Series Design and Implementation of Chaos Control Systems Chaos in Mechanical Systems and Its Control Utilizing Chaos in Control System Design Control and Synchronization of Spatiotemporal Chaos Chaotic Vibration of the Wave Equation by Nonlinear Feedback Boundary Control Sensitivity to Initial Conditions of Chaos in Electronics Frequency Domain Methods for Chaos Control Controlling Limit Cycles and Bifurcations Theory and Experiments on Nonlinear Time-Delayed Feedback Systems with Application to Chaos Control Time Delayed Feedback Control of Chaos Impulsive Control and Synchronization of Chaos Control and Anticontrol of Bifurcations with Application to Active Control of Rayleigh-Benard Convection Delay Feedback Control of Cardiac Activity Models Bifurcation Stabilization with Applications in Jet Engine Control Bifurcations of Control Systems in Normal Form Controlling Bifurcations in Nonsmooth Dynamical Systems Adaptive Observer-Based Synchronization Discrete-Time Observers and Synchronization Separating a Chaotic Signal from Noise and Applications Digital Communications Using Chaos Synchronization in Arrays of Coupled Chaotic Circuits and Systems: Theory and Applications Chaos in Phase Systems: Generation and Synchronization Chaos and Bifurcations in Feedback Control Systems Chaos and Bifurcations in Coupled Networks and Their Control Return Map Modulation in Nonautonomous Relaxation Oscillator Controlling Chaos in Discrete-Time Computational Ecosystems.
• (source: Nielsen Book Data)

Over the last two decades, chaos in engineering systems has moved from being simply a curious phenomenon to one with real, practical significance and utility. Engineers, scientists, and mathematicians have similarly advanced from the passive role of analyzing chaos to their present, active role of controlling chaos-control directed not only at suppression, but also at exploiting its enormous potential. We now stand at the threshold of major advances in the control and synchronization of chaos for new applications across the range of engineering disciplines.Controlling Chaos and Bifurcations in Engineering Systems provides a state-of-the-art survey of the control-and anti-control-of chaos in dynamical systems. Internationally known experts in the field join forces in this volume to form this tutorial-style combination of overview and technical report on the latest advances in the theory and applications of chaos control. They detail various approaches to control and show how designers can use chaos to create a wider variety of properties and greater flexibility in the design process. Chaos control promises to have a major impact on novel time- and energy-critical engineering applications. Within this volume, readers will find many challenging problems-yet unsolved-regarding both the fundamental theory and potential applications of chaos control and anti-control. Controlling Chaos and Bifurcations in Engineering Systems will bring readers up-to-date on recent development in the field and help open the door to new advances.
(source: Nielsen Book Data)

• Preliminaries
• Kalman Filter, an Elementary Approach
• Orthogonal Projection and Kalman Filter
• Correlated System and Measurement Noise Processes
• Colored Noise
• Limiting Kalman Filter
• Sequential and Square Root Algorithms
• Extended Kalman Filter and System Identification
• Decoupling of Filtering Equations
• Kalman Filtering for Interval Systems
• Wavelet Kalman Filtering
• Notes.
• (source: Nielsen Book Data)

Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowled.
(source: Nielsen Book Data)

• "Signal Processing and Systems Theory" is concerned with the study of H-optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before beging extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathematical results derived here are applicable to digital control systems and digital filtering.
• (source: Nielsen Book Data)

"Signal Processing and Systems Theory" is concerned with the study of H-optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before being extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathematical results derived here are applicable to digital control systems and digital filtering.
(source: Nielsen Book Data)