Extension of the observability rank condition to nonlinear systems driven by unknown inputs

2015 23rd Mediterranean Conference on Control and Automation (MED) ◽

10.1109/med.2015.7158811 ◽

2015 ◽

Author(s):

Agostino Martinelli

Keyword(s):

Nonlinear Systems ◽

Rank Condition ◽

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A dynamical interpretation of strong observability and detectability concepts for nonlinear systems with unknown inputs: application to biochemical processes

Bioprocess and Biosystems Engineering ◽

10.1007/s00449-013-0915-5 ◽

2013 ◽

Vol 37 (1) ◽

pp. 37-49 ◽

Author(s):

Jaime A. Moreno ◽

Edmundo Rocha-Cózatl ◽

Alain Vande Wouwer

Keyword(s):

Nonlinear Systems ◽

Biochemical Processes ◽

Unknown Inputs ◽

Dynamical Interpretation

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Estimating unbounded unknown inputs in nonlinear systems

10.1016/j.automatica.2019.02.050 ◽

2019 ◽

Vol 104 ◽

pp. 57-66 ◽

Author(s):

Ankush Chakrabarty ◽

Martin Corless

Keyword(s):

Nonlinear Systems ◽

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L2Observers for a Class of Nonlinear Systems with Unknown Inputs

2019 18th European Control Conference (ECC) ◽

10.23919/ecc.2019.8795621 ◽

2019 ◽

Author(s):

Martin Corless ◽

Ankush Chakrabarty

Keyword(s):

Nonlinear Systems ◽

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Sliding-mode observers for nonlinear systems with unknown inputs and measurement noise

International Journal of Control Automation and Systems ◽

10.1007/s12555-012-0463-9 ◽

2013 ◽

Vol 11 (5) ◽

pp. 903-910 ◽

Author(s):

Junqi Yang ◽

Fanglai Zhu ◽

Wei Zhang

Keyword(s):

Nonlinear Systems ◽

Sliding Mode ◽

Measurement Noise ◽

Unknown Inputs ◽

Sliding Mode Observers

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Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs

IEEE Signal Processing Letters ◽

10.1109/lsp.2019.2922620 ◽

2019 ◽

Vol 26 (8) ◽

pp. 1162-1166 ◽

Author(s):

Zongsheng Zheng ◽

Junbo Zhao ◽

Lamine Mili ◽

Zhigang Liu ◽

Shaobu Wang

Keyword(s):

Kalman Filter ◽

Nonlinear Systems ◽

Variance Estimation ◽

Unscented Kalman Filter ◽

Minimum Variance ◽

Unknown Inputs ◽

Minimum Variance Estimation

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An Adaptive “Sliding-mode” Observer for Nonlinear Systems with Unknown Inputs and Noisy measurements

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.01493 ◽

2011 ◽

Vol 44 (1) ◽

pp. 1837-1842

Author(s):

Habib Dimassi ◽

Antonio Loria ◽

Safya Belghith

Keyword(s):

Nonlinear Systems ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Adaptive Sliding Mode ◽

Unknown Inputs ◽

Noisy Measurements

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State estimation for nonlinear systems with unknown inputs using SDC factorization

TENCON 2015 - 2015 IEEE Region 10 Conference ◽

10.1109/tencon.2015.7373097 ◽

2015 ◽

Author(s):

Chien-Shu Hsieh

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

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Observability/detectability analysis for nonlinear systems with unknown inputs - application to biochemical processes

2012 20th Mediterranean Conference on Control & Automation (MED) ◽

10.1109/med.2012.6265630 ◽

2012 ◽

Author(s):

Jaime A. Moreno ◽

Edmundo Rocha-Cozatl ◽

Alain Vande Wouwer

Keyword(s):

Nonlinear Systems ◽

Biochemical Processes ◽

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Observer Based Control for Time-Varying Nonlinear Systems with Uncertain Disturbances and Unknown Inputs

Lobachevskii Journal of Mathematics ◽

10.1134/s1995080220070252 ◽

2020 ◽

Vol 41 (7) ◽

pp. 1248-1254

Author(s):

A. I. Malikov

Keyword(s):

Nonlinear Systems ◽

Time Varying ◽

Unknown Inputs ◽

Uncertain Disturbances

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Establishing local strong accessibility of large-scale nonlinear systems by replacing the Lie algebraic rank condition

10.23919/ecc54610.2021.9655043 ◽

2021 ◽

Author(s):

L. Gerard Van Willigenburg ◽

Johannes D. Stigter ◽

Jaap Molenaar

Keyword(s):

Nonlinear Systems ◽

Large Scale ◽

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