книга Control System Analysis and Identification with MATLAB: Block Pulse and Related Orthogonal Functionss

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Control System Analysis and Identification with MATLAB: Block Pulse and Related Orthogonal Functionss

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Название: Control System Analysis and Identification with MATLAB: Block Pulse and Related Orthogonal Functionss
Автор: Anish Deb, Srimanti Roychoudhury
Страниц: 387
Формат: PDF
Размер: 15.5 MB
Качество: Отличное
Язык: Английский
Год издания: 2018


 This book covers block pulse and related functions for the analysis and identification of continuous and discrete-time systems. It covers functions related to block pulse functions' and pulse-width modulated generalized block pulse functions including their applications... 


In many spheres of electrical engineering, the basis for any analysis is usually a system of sine-cosine functions. This is mainly due to the desirable properties of frequency domain representation of a large class of functions encountered in engineering design and also immense popularity of sinusoidal voltage in most engineering applications. In the fields of circuit analysis, control theory, communication, and analysis of stochastic problems, ample examples are found where the completeness and orthogonal properties of such a system of sine-cosine functions lead to attractive solutions. But with the application of digital techniques in these areas, awareness for other more general complete systems of orthogonal functions has developed.

Key Features:

The Book Covers recent results of the traditional block pulse and other functions related material

Discusses ‘functions related to block pulse functions’ extensively along with their applications

Contains analysis and identification of linear time-invariant systems, scaled system, and sampled-data system

Presents an overview of piecewise constant orthogonal functions starting from Haar to sample-and-hold function

Includes examples and MATLAB codes with supporting numerical exampless.

Contents:

1. Block Pulse and Related Basis Functions

2. Function Approximation via Block Pulse Functionand Related Functions

3. Block Pulse Domain Operational Matrices for Integration and Differentiation

4. Operational Transfer Functions for System Analysis

5. System Analysis and Identification Using Convolution and "Deconvolution" in BPF Domain

6. Delayed Unit Step Functions (DUSF) for System Analysis and Fundamental Nature of the Block Pulse Function (BPF) Set

7. Sample-and-Hold Functions (SHFs) for System Analysis

8. Discrete Time System Analysis Using a Set of Delta Functions (DFs)

9. Non-Optimal Block Pulse Functions (NOBPFs) for System Analysis and Identification

10. System Analysis and Identification Using Linearly Pulse-Width Modulated Generalized Block Pulse Functions (LPWM-GBPF)

Appendix A: Introduction to Linear Algebra

Appendix B: Selected MATLAB Programs


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