結構化動態系統的盲辨識 (英文) 俞成浦等著 9787030781710 【台灣高等教育出版社】

目錄 1 Introduction
1 1 Examples of the Blind System Identification
1 2 Optimization Based Blind System Identification
1 3 Blind Identification of Various System Models
1 4 Organization of This Book
References
Part I Preliminaries
2 Linear Algebra and Polynomial Matrices
2 1 Vector Space and Basis
2 2 Eigenvalue Decomposition
2 3 Singular Value Decomposition
2 4 Orthogonal Projection and Oblique Projection
2 5 Sum and Intersection of Subspaces
2 6 Angles Between Subspaces
2 7 Polynomial Matrices and Polynomial Bases
2 8 Summary
References
3 Representation of Linear System Models
3 1 Transfer Functions
3 1 1 Properties of Coprime Matrix Fraction
3 1 2 Verification and Computation of Coprime Matrix Fraction
3 2 State Space Models
3 3 State Space Realization
3 4 HankelMatrix Interpretation
3 5 Structured State-Space Models
3 5 1 Graph Theory
3 5 2 Structured Algebraic System Theory
3 6 Summary
Reference
4 Identification of LTI Systems
4 1 Least-Squares Identification
4 1 1 Identifiability of a Rational Transfer Function Matrix
4 1 2 Least-Squares Identification Method
4 2 Subspace Identification
4 2 1 Subspace Identification via Orthogonal Projection
4 2 2 Subspace Identification via State Estimation
4 2 3 Subspace Identification via State Compensation
4 2 4 Subspace Identification via Markov Parameter Estimation
4 3 Parameterized State-Space Identification
4 3 1 Gradient-BasedMethod
4 3 2 Difference-of-Convex Programming Method
4 4 Summary
References
Part II Blind System Identification with a Single Unknown Input
5 Blind Identification of SIMO FIR Systems
5 1 Structured Subspace Factorization
5 1 1 Blind Identification of FIR Filters
5 1 2 Blind Identification of a Source Signal
5 2 Cross RelationMethod
5 3 Least-Squares Smoothing Method
5 3 1 Blind FIR Filter Identification
5 3 2 Blind Source Signal Estimation
5 4 Blind Identification of Time-Varying FIR Systems
5 4 1 Input Signal Estimation
5 4 2 Time-Varying Filter Identification
5 5 Blind Identification of Nonlinear SIMO Systems
5 5 1 SIMO-Wiener System Identification
5 5 2 Hammerstein-Wiener System Identification
5 6 Summary
References
6 Blind Identification of SISO IIR Systems via Oversampling
6 1 Oversampling of FIR and IIR Systems
6 1 1 Multirate Identities
6 1 2 Multirate Transfer Functions
6 1 3 Multirate State-Space Models
6 2 Coprime Conditions for Lifted SIMO Systems
6 3 Blind Identification of Non-minimum Phase Systems
6 4 Blind Identification of Hammerstein Systems
6 4 1 Blind Identifiability
6 4 2 Blind Identification Approach
6 5 Blind Identification of Output Switching Systems
6 6 Summary
References
7 Distributed Blind Identification of Networked FIR Systems
7 1 Motivation for the Distributed Blind Identification
7 2 Distributed Blind System Identification Using Noise-Free Data
7 2 1 Distributed Blind Identification Algorithm
7 2 2 Convergence Analysis
7 2 3 Numerical Simulation
7 3 Distributed Blind System Identification Using Noisy Data
7 3 1 Distributed Blind Identification Algorithm
7 3 2 Convergence Analysis
7 3 3 Numerical Simulation
7 4 Recursive Blind Source Equalization Using Noisy Data
7 4 1 Direct Distributed Equalization
7 4 2 Indirect Distributed Equalization
7 4 3 Distributed Blind Equalization with Noise-Free Measurements
7 4 4 Distributed Blind Equalization with Noisy Measurements
7 4 5 Blind Equalization with a Time-Varying Topology
7 4 6 Numerical Simulation
7 5 Summary
Refe
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