Directions in Mathematical Systems Theory and Optimization

Table of Contents

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   Book Overview
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   Chapter 1 Systems with Lebesgue Sampling
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   Chapter 2 Acoustic Attenuation Employing Variable Wall Admittance
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   Chapter 3 Some Remarks on Linear Filtering Theory for Infinite Dimensional Systems
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   Chapter 4 A Note on Stochastic Dissipativeness
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   Chapter 5 Internal Model Based Design for the Suppression of Harmonic Disturbances
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   Chapter 6 Conditional Orthogonality and Conditional Stochastic Realization
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   Chapter 7 Geometry of Oblique Splitting Subspaces, Minimality and Hankel Operators
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   Chapter 8 Linear Fractional Transformations
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    Chapter 9 Structured Covariances and Related Approximation Questions
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    Chapter 10 Risk Sensitive Identification of ARMA Processes
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    Chapter 11 Input Tracking and Output Fusion for Linear Systems
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    Chapter 12 The Convergence of the Extended Kalman Filter
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    Chapter 13 On the Separation of Two Degree of Freedom Controller and Its Application to H ∞ Control for Systems with Time Delay
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    Chapter 14 The Principle of Optimality in Measurement Feedback Control for Linear Systems
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    Chapter 15 Linear System Identification as Curve Fitting
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    Chapter 16 Optimal Model Order Reduction for Maximal Real Part Norms
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    Chapter 17 Quantum Schrödinger Bridges
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    Chapter 18 Segmentation of Diffusion Tensor Imagery
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    Chapter 19 Robust Linear Algebra and Robust Aperiodicity
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    Chapter 20 On Homogeneous Density Functions
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    Chapter 21 Stabilization by Collocated Feedback
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    Chapter 22 High-Order Open Mapping Theorems
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    Chapter 23 New Integrability Conditions for Classifying Holonomic and Nonholonomic Systems
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    Chapter 24 On Spectral Analysis Using Models with Pre-specified Zeros
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    Chapter 25 Balanced State Representations with Polynomial Algebra
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    Chapter 26 Nonconvex Global Optimization Problems: Constrained Infinite-Horizon Linear-Quadratic Control Problems for Discrete Systems