Perspectives in Mathematical System Theory, Control, and Signal Processing

Table of Contents

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   Book Overview
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   Chapter 1 Old and New Directions of Research in System Theory
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   Chapter 2 Regular Positive-Real Functions and the Classification of Transformerless Series-Parallel Networks
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   Chapter 3 Ports and Terminals
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   Chapter 4 On the Sample Complexity of Probabilistic Analysis and Design Methods
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   Chapter 5 A Constant Factor Approximation Algorithm for Event-Based Sampling
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   Chapter 6 A Unified Approach to Decentralized Cooperative Control for Large-Scale Networked Dynamical Systems
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   Chapter 7 Control and Stabilization of Linear Equation Solvers
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   Chapter 8 Nonlinear Output Regulation: A Unified Design Philosophy
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    Chapter 9 An Estimated General Cross Validation Function for Periodic Control Theoretic Smoothing Splines
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    Chapter 10 Stable ${{\mathcal H}^\infty}$ Controller Design for Systems with Time Delays
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    Chapter 11 Dynamic Quantization for Control
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    Chapter 12 Convergence of Periodic Gossiping Algorithms
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    Chapter 13 Distributed PageRank Computation with Link Failures
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    Chapter 14 Predicting Synchrony in a Simple Neuronal Network
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    Chapter 15 On the Stability and Instability of Padé Approximants
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    Chapter 16 On the Use of Functional Models in Model Reduction
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    Chapter 17 Quadratic Performance Verification for Boundary Value Systems
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    Chapter 18 Lyapunov Stability Analysis of Higher-Order 2-D Systems
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    Chapter 19 From Lifting to System Transformation
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    Chapter 20 Contractive Systems with Inputs
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    Chapter 21 Dissipativity and Stability Analysis Using Rational Quadratic Differential Forms
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    Chapter 22 On Behavioral Equivalence of Rational Representations
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    Chapter 23 Modeling and Stability Analysis of Controlled Passive Walking
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    Chapter 24 An Optimization Approach to Weak Approximation of Lévy-Driven Stochastic Differential Equations
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    Chapter 25 Compound Control: Capturing Multivariable Nature of Biological Control
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    Chapter 26 Law of Large Numbers, Heavy-Tailed Distributions, and the Recent Financial Crisis
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    Chapter 27 Markov Models for Coherent Signals: Extrapolation in the Frequency Domain
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    Chapter 28 Digital Signal Processing and the YY Filter
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    Chapter 29 Sparse Blind Source Separation via ℓ1-Norm Optimization
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    Chapter 30 YY Filter — A Paradigm of Digital Signal Processing
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    Chapter 31 How to Sample Linear Mechanical Systems
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    Chapter 32 A Note on LQ Decomposition in Stochastic Subspace Identification
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    Chapter 33 Modeling Systems Based on Noisy Frequency and Time Domain Measurements
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    Chapter 34 Blind Identification of Polynomial Matrix Fraction with Applications