Identification of processes in closed loop-identifiability and accuracy aspects

Automatica

Volumn 13, Issue 1, 1977, Pages 59-75

  Gustavsson, I ^a   Ljung, L ^b   Soderstrom T ^a  

^a LUND INSTITUTE OF TECHNOLOGY   (Sweden)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

accuracy of identification; Closed loop systems; identification; indentifiability; optimal experiment design

Indexed keywords

SYSTEMS SCIENCE AND CYBERNETICS;

EID: 0017360813     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(77)90009-7     Document Type: Article

References (98)

1. Feedback between stationary stochastic processes
2. Estimation, identification and feedback
3. Identification of linear, multivariable process dynamics using closed loop experiments
4. Identification of linear, multivariable systems operating under linear feedback control
5. Identifiability conditions for linear systems operating in closed loop
6. On the accuracy problem in identification
7. On the accuracy of identification and the design of identification experiments
8. On consistency for prediction error identification methods
9. Some problems in the application of the cross-spectral method
10. System identification—a survey
11. The analysis of closed-loop dynamic-stochastic systems
12. Using statistical identification methods
13. Optimal input signals for parameter estimation in dynamic systems—survey and new results
14. Structural aspects of system identification
15. Parameter identification and control of linear discrete-time system
16. On the use of a linear model for the identification of feedback systems
17. The analysis of closed-loop dynamic-stochastic systems
18. Estimation of transfer functions in closed loop stochastic systems
19. Systemidentifikation mit stochastischen Signalen im geschlossenen Regelkreis—Verfahren und Fehlerabschätzung
20. Statistischer Fehler bei der Systemidentifizierung im geschlossenen Regelkreis
21. Identifizierung im geschlossenen Regelkreis—Korrelationsanalyse oder Parameterschätzung?
22. Numerical identification of linear dynamic systems from normal operating records
23. On system parameter identifiability
24. On the identifiability of parameters
25. On the identifiability of linear dynamic systems
26. On structural identifiability
27. On the achievable accuracy in identification problems
28. Design of optimal probing signals for vector parameter estimation
29. A canonical form for identification of multivariable linear systems
30. Identifiability conditions for linear multivariable systems operating under feedback
31. Plant identification in a stochastic closed-loop system
32. Parameter estimation with closed-loop operating data
33. Optimal estimation of impulse response in the presence of noise
34. Design of input signals for parameter estimation
35. Input selection for parameter identification in discrete systems
36. On input signal synthesis in parameter identification
37. Optimal test signal design for linear single input—single output system identification
38. On input signal synthesis for linear discrete-time systems
39. Design and characterization of optimal test signals for linear single input-single output parameter estimation
40. Suboptimal input signals for linear system identification
41. On self-tuning regulators
42. Implementation of computer control of a cement rotary kiln through data analysis
43. Process analysis techniques for cement kilns
44. On the problem of ambiguities in maximum likelihood identification
45. Anwendung von Schätzverfahren für die Kenngrössen von Regelstrecken aufgrund von Messungen im geschlossenen Regelkreis
46. Theoretical foundations for methods of estimation and control in economic policy optimization
47. Some results with identification procedures using linear discrete models—Part II
48. Optimal test signal design for linear single input-single output closed loop identification
49. Stochastic modelling of computer-regulated linear plants in noisy environments
50. Stochastic identification of computer-regulated plants in noisy environments
51. Identification of a class of closed-loop control systems
52. Identification of a closed-loop stochastic system
53. Identification of multi-input-multi-output transfer function and noise model of a blast furnace from closed-loop data
54. Methods for on-line process identification in closed loop
55. Notes on the design of optimal identification experiments
56. An application of the statistical theory of feedback to power system identification
57. On identifying stochastic closed-loop systems
58. Least-squares identification of closed-loop systems
59. Simultaneous identification and control
60. On-line identification of multivariable stochastic feedback systems
61. A theory of adaptive control of linear dynamic systems
62. Asymptotic analysis of self-tuning regulators
63. Combined identification of the input-output and noise dynamics of a closed-loop controlled linear system
64. Closed-loop identification of system dynamics in the presence of noise and unmeasured disturbances
65. Bestimmung des Frequenzganges eines linearen rückgekoppelten Systemes mit zwei unabhänigigen stochastischen Eingangssignalen
66. The Sea Swift experiments, October 1974
67. Identification of ship steering dynamics
68. Identification of a papermaking process from closed loop data by bivariate time series analysis
69. An application of stochastic and dynamic models for the control of a papermaking process
70. Correlation analysis of blast-furnace data
71. Korrelationsanalyse von Betriebsmesswerten eines Hochofens
72. An application of simultaneous estimation to the determination of causality between money and income
73. Identification and direct digital control of a continuous stirred tank process
74. Statistical evaluation and design of an evaporator control system
75. Modeling of human operator performance utilizing time series analysis
76. Correlation techniques applied to the identification of boiler dynamics
77. Estimation of power generator dynamics from normal operating data
78. Asymptotic normality and accuracy of prediction error estimators
79. Programs for evaluation of identified models of simulated data
80. On the identifiability of linear dynamic systems operating in closed loop
81. On maximal accuracy estimation with output power constraints
82. On the identifiability of the human controller in a closed loop system
83. Identification and control of a glass-furnace
84. On the identification of feedback systems
85. The identification of linear stochastic feedback systems