Linear integral filter approach to identification of continuous-time systems 線形積分フィルタ手法による連続系の同定

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著者

    • 趙, 振宇 ツァオ, ズェンイウ

書誌事項

タイトル

Linear integral filter approach to identification of continuous-time systems

タイトル別名

線形積分フィルタ手法による連続系の同定

著者名

趙, 振宇

著者別名

ツァオ, ズェンイウ

学位授与大学

九州大学

取得学位

工学博士

学位授与番号

甲第2770号

学位授与年月日

1991-03-27

注記・抄録

博士論文

目次

  1. Table of Contents / p4 (0005.jp2)
  2. Abstract / p2 (0003.jp2)
  3. Acknowledgments / p6 (0007.jp2)
  4. Notations and Abbreviations / p7 (0008.jp2)
  5. Examples / p9 (0010.jp2)
  6. Chapter 1 Introduction / p1 (0011.jp2)
  7. Chapter 2 Multiple Integration Approach / p7 (0017.jp2)
  8. 2.1 Introduction / p7 (0017.jp2)
  9. 2.2 System Model Descriptions / p9 (0019.jp2)
  10. 2.3 Generalized Multiple Integration Approach / p10 (0020.jp2)
  11. 2.4 On the Initial Condition Problem / p19 (0029.jp2)
  12. 2.5 Improved Algorithm via New Operation of Numerical Integration / p21 (0031.jp2)
  13. 2.6 Conclusions / p27 (0037.jp2)
  14. Chapter 3 Linear Integral Filter and Its Extensions / p28 (0038.jp2)
  15. 3.1 Introduction / p28 (0038.jp2)
  16. 3.2 Linear Integral Filter / p30 (0040.jp2)
  17. 3.3 Extended Linear Integral Filter for the Time-varying Case / p36 (0046.jp2)
  18. 3.4 Extended Linear Integral Filter for the Multi-variable Case / p38 (0048.jp2)
  19. 3.5 Conclusions / p41 (0051.jp2)
  20. Chapter 4 Least Squares Techniques / p42 (0052.jp2)
  21. 4.1 Introduction / p42 (0052.jp2)
  22. 4.2 Descriptions of the Identification Model / p44 (0054.jp2)
  23. 4.3 Least Squares Method and Its Asymptotic Bias / p47 (0057.jp2)
  24. 4.4 Bias-compensating LS Method / p53 (0063.jp2)
  25. 4.5 Conditions on Input Signals for Consistency / p59 (0069.jp2)
  26. 4.6 Conclusions / p66 (0076.jp2)
  27. Chapter 5 Instrumental Variable Methods / p68 (0078.jp2)
  28. 5.1 Introduction / p68 (0078.jp2)
  29. 5.2 Instrumental Variable Methods / p70 (0080.jp2)
  30. 5.3 IV Estimator Using an Auxiliary Model / p73 (0083.jp2)
  31. 5.4 IV Estimator Using Delayed Inputs / p82 (0092.jp2)
  32. 5.5 Conclusions / p88 (0098.jp2)
  33. Chapter 6 Identification of Time-varying Parameter Systems / p89 (0099.jp2)
  34. 6.1 Introduction / p89 (0099.jp2)
  35. 6.2 Statement of the Problem / p90 (0100.jp2)
  36. 6.3 Adaptive Identification in the Noise-free Case / p92 (0102.jp2)
  37. 6.4 Adaptive Identification in the Noisy Case / p101 (0111.jp2)
  38. 6.5 Conclusions / p106 (0116.jp2)
  39. Chapter 7 Identification of Distributed Parameter Systems / p107 (0117.jp2)
  40. 7.1 Introduction / p107 (0117.jp2)
  41. 7.2 Statement of the Problem / p109 (0119.jp2)
  42. 7.3 Identification in the Noise-free Case / p110 (0120.jp2)
  43. 7.4 Identification in the Noisy Case / p118 (0128.jp2)
  44. 7.5 Conclusions / p125 (0135.jp2)
  45. Chapter 8 Identification of Time-delay Systems / p126 (0136.jp2)
  46. 8.1 Introduction / p126 (0136.jp2)
  47. 8.2 Identification Algorithm / p129 (0139.jp2)
  48. 8.3 Estimation of the Time Delay / p132 (0142.jp2)
  49. 8.4 Estimation of the Time Delay and System Parameters / p140 (0150.jp2)
  50. 8.5 Conclusions / p146 (0156.jp2)
  51. Chapter 9 Conclusions / p147 (0157.jp2)
  52. Appendix A Proof of Theorem 2.2 / p149 (0159.jp2)
  53. Appendix B Proof of Theorem 2.3 / p150 (0160.jp2)
  54. Appendix C Proof of Theorem 3.3 / p151 (0161.jp2)
  55. Appendix D A Numerical Method for the Analysis of Linear SISO Systems / p152 (0162.jp2)
  56. References / p156 (0166.jp2)
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各種コード

  • NII論文ID(NAID)
    500000075476
  • NII著者ID(NRID)
    • 8000000075675
  • DOI(NDL)
  • NDL書誌ID
    • 000000239790
  • データ提供元
    • NDL-OPAC
    • NDLデジタルコレクション
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