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自然启发烟花算法在非线性有源噪声控制系统中的应用

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目录

声明

Dedication

摘要

ABSTRACT

Contents

Abbreviations

Chapter 1 Introduction

1.1 Incitement and Motivation

1.2 Literature Study

1.3 Endowment and Contribution

1.4 Background Study of ANC System

1.5 Declaration of the Problem

1.6 System Design for the Study

1.7 Thesis Organization

Chapter 2 Background Studies

2.1 Noise Cancellation/Noise Reduction

2.2 Passive Noise Control(PNC) System

2.3 Active Noise Control(ANC) System

2.4 Types of ANC System

2.4.1 Feed-forward ANC System

2.4.2 Feed-back ANC System

2.5 Adaptive Controller

2.5.1 The Adaptive Filters

2.6 Adaptive algorithms for ANC Systems

2.6.1 LMS(Least Mean Square Algorithm)

2.6.2 NLMS Algorithm

2.6.3 Filter-Extended LMS Algorithm

2.7 Linear System

2.8 Non-Linear System

2.9 Nature-Inspired Algorithm

2.10 Algorithms classification

2.10.1 Swarm intelligence based

2.10.2 Nature-inspired and not SI based

2.11 Physical Design of Active Noise Control System

2.12 Applications and Limitations

2.13 Conclusion

Chapter 3 Firework Algorithm for Nonlinear ANC System

3.1 Sources of Motivation

3.2 Nature Inspired Algorithm for ANC System

3.3 Firework Algorithm for ANC System

3.4 Points of Contribution

3.5 Proposed ANC System with FWA Algorithm

3.6 Proposed Methodology

3.6.1 Fitness Function Formulation

3.6.2 Optimization Procedure

3.7 Conclusion

Chapter 4 Results and Discussion

4.1 Programming Environment

4.1.1 System Architecture

4.2 Simulation Results

4.2.1 Problem 1:ANC system with the sinusoidal signal

4.2.2 Problem 2:ANC system with the random signal

4.2.3 Problem 3:ANC system with Complex random signal

4.3 Comparative Study

4.4 Conclusion

Chapter 5 Conclusion and Future Work

5.1 Conclusion

5.2 Future Wbrk

Bibliography

Acknowledgments

Publications and Submissions

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著录项

  • 作者

    Muhammad Alamgeer Khan;

  • 作者单位

    中国科学技术大学;

  • 授予单位 中国科学技术大学;
  • 学科 控制科学与工程
  • 授予学位 硕士
  • 导师姓名 王雷;
  • 年度 2020
  • 页码
  • 总页数
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 X50TP1;
  • 关键词

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