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journal article EST / journal article ENG

Algebraic approach for analysis and control of a water tank systemBelikov, Juri; Kotta, Ülle; Tepljakov, AlekseiInformation technology and control2016 / p. 175-183 : ill https://doi.org/10.5755/j01.itc.45.2.13212 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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journal article EST / journal article ENG

Algebraic conditions for accessibility of discrete-time nonlinear control systemsBartosiewicz, Zbigniew; Kaldmäe, Arvo; Kotta, Ülle; Wyrwas, MałgorzataIEEE Transactions on Automatic Control2025 / p. 2334-2345 https://doi.org/10.1109/TAC.2024.3476155 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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3

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Algebraic necessary and sufficient condition for difference flatnessKaldmäe, ArvoInternational Journal of Control2021 / 8 p https://doi.org/10.1080/00207179.2021.1908598 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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4

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An algorithm to transform discrete-time state equations into the extended observer formKaldmäe, Arvo; Kotta, ÜlleAutomatica2024 / art. 111598 https://doi.org/10.1016/j.automatica.2024.111598 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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5

journal article EST / journal article ENG

Construction of flat outputs of nonlinear discrete-time systems in a geometric and an algebraic frameworkKolar, Bernd; Kaldmäe, Arvo; Schöberl, Markus; Kotta, Ülle; Schlacher, KurtIFAC-PapersOnLine2016 / p. 796-801 https://doi.org/10.1016/j.ifacol.2016.10.263 Conference Proceedings at Scopus Article at Scopus Article at WOS

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journal article EST / journal article ENG

Feedback linearization of possibly non-smooth systemsKaldmäe, Arvo; Kotta, Ülle; Shumsky, Alexey; Zhirabok, AlexeyProceedings of the Estonian Academy of Sciences2017 / p. 109-123 https://doi.org/10.3176/proc.2017.2.01 http://www.ester.ee/record=b2355998*est https://artiklid.elnet.ee/record=b2820923*est Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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journal article EST / journal article ENG

Input–output linearization of discrete-time systems by dynamic output feedbackKaldmäe, Arvo; Kotta, ÜlleEuropean journal of control2014 / p. 73-78 https://doi.org/10.1016/j.ejcon.2013.12.004 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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journal article EST / journal article ENG

Integrability for nonlinear time-delay systemsKaldmäe, Arvo; Califano, Claudia; Moog, ClaudeIEEE transactions on automatic control2016 / p. 1912-1917 https://doi.org/10.1109/TAC.2015.2482003 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Minimal realizations of nonlinear time-delay systemsKaldmäe, Arvo; Zbigniew, Bartosiewicz; Kotta, Ülle; Wyrwas, MalgorzataIEEE transactions on automatic control2023 / p. 6766 - 6772 https://doi.org/10.1109/TAC.2023.3240124 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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book article EST / book article ENG

Observability of nonlinear control systems with disturbancesKaldmäe, Arvo13th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2025, Reykjavík, Iceland, July 23-25 20252025 / p. 567-572 : ill https://doi.org/10.1016/j.ifacol.2025.11.095 Conference proceeding at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
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journal article EST / journal article ENG

Observer-based residual generation for nonlinear discrete-time systemsKaldmäe, Arvo; Kotta, ÜlleProceedings of the Estonian Academy of Sciences2018 / p. 325-336 https://doi.org/10.3176/proc.2018.4.01 http://www.kirj.ee/public/proceedings_pdf/2018/issue_4/proc-2018-4-325-336.pdf Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Realization of nonlinear input-output equations in controller canonical formKaldmäe, Arvo; Kotta, ÜlleKybernetika2018 / p. 736-747 https://doi.org/10.14736/kyb-2018-4-0736 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Number of records 12, displaying 1 - 12

1. algebraic methods
2. algebraic/geometric methods
3. algebraic analysis
4. algebraic approach
5. algebraic approaches
6. algebraic effects
7. algebraic fractions
8. algebraic hyperstructure
9. algebraic number theory
10. algebraic operations
11. Algebraic soliton
12. algebraic theories
13. algebraic theory
14. algebraic weak factorisation system
15. ab-initio methods
16. active learning methods
17. an ensemble of compression methods
18. analysis methods
19. analytical methods
20. approximate methods
21. approximation methods
22. assessment methods
23. Backstepping methods
24. biology experimental methods
25. calculation methods
26. casting methods
27. Cesaro methods
28. chemometric methods
29. computational design methods
30. computational methods
31. computer aided methods
32. computer vision-based methods
33. control methods
34. decontamination methods
35. deep learning methods
36. Design and assessment methods
37. design methods
38. detection methods
39. diagnostics methods
40. didactic methods
41. digital methods
42. direct methods
43. electronic structure methods
44. ensemble methods
45. Euler-Knopp methods
46. excavation methods
47. extraction and detection methods
48. finite-element (FE) methods
49. finite-element methods
50. finite-element methods (FEM)
51. finite-element methods (FEMs)
52. flow assessment methods
53. formal methods
54. frontier methods
55. Gauss-Newton-type methods
56. Gauss–Newton-type methods
57. generalized Nörlund methods
58. geometric methods
59. graphic methods
60. hybrid methods
61. integration methods
62. interaction methods
63. interactive teaching methods
64. interpretation methods
65. invasive methods
66. inverse methods
67. inverse methods for engineering applications
68. linear and nonlinear unsupervised methods
69. material characterization methods
70. Mathematical methods
71. matrix methods
72. methods
73. Methods of Classification
74. methods of measuring
75. methods of study
76. methods: data analysis
77. Methods: statistical
78. mixed methods
79. mixed-methods
80. model-free methods
81. modulation methods
82. Monte Carlo methods
83. multi-criteria decision-making methods
84. nearest neighbor methods
85. numerical methods
86. optic methods
87. optimization methods
88. outlier’s detection methods
89. physico-chemical methods
90. phytoplankton detection methods
91. plan-driven methods
92. polynomial methods
93. practical teaching methods
94. prediction methods
95. pseudospectral methods
96. qualitative methods
97. qualitative research methods
98. quantitative methods
99. regular matrix methods
100. research methods
101. reversal methods
102. sampling methods
103. selection methods
104. separation methods
105. shootthrough control methods
106. shoot-through control methods
107. stability prediction methods
108. standardized methods
109. state space methods
110. Statistical methods
111. statistics methods
112. substation testing methods
113. Taguchi methods
114. teaching methods
115. testing methods
116. timber construction (construction methods)
117. tracer gas methods
118. transmission line matrix methods
119. Tree-based methods
120. variational methods
121. verification methods
122. visual methods
123. visualization design and evaluation methods
124. X-ray methods
125. X-ray methods B
126. ﬁnite element methods

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