Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection

Denis Efimov; Tarek Raïssi; Ali Zolghadri

doi:10.1115/1.4025797

Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4025797 ◽

2013 ◽

Vol 136 (2) ◽

Cited By ~ 9

Author(s):

Denis Efimov ◽

Tarek Raïssi ◽

Ali Zolghadri

Keyword(s):

Parameter Estimation ◽

Observer Design ◽

Adaptive Observer ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Set Membership ◽

Parameter Varying ◽

Exponential Complexity ◽

Linear Parameter Varying System

This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (linear parameter-varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.

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H-/L∞ fault detection observer design for linear parameter-varying systems * *This work was partially supported by National Natural Science Foundation of China (61403104, 61273162, U1509217), the Australian Research Council (DP170102644), and the Fundamental Research Funds for the Central Universities (HIT.KLOF.2015.076).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.2409 ◽

2017 ◽

Vol 50 (1) ◽

pp. 15271-15276 ◽

Cited By ~ 6

Author(s):

Zhenhua Wang ◽

Cheng-Chew Lim ◽

Peng Shi ◽

Yi Shen

Keyword(s):

Fault Detection ◽

Natural Science ◽

Research Council ◽

Observer Design ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Australian Research Council ◽

Fundamental Research ◽

Parameter Varying

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Interval observer design for Linear Parameter-Varying systems subject to component faults

2016 24th Mediterranean Conference on Control and Automation (MED) ◽

10.1109/med.2016.7536019 ◽

2016 ◽

Cited By ~ 8

Author(s):

R. Lamouchi ◽

M. Amairi ◽

T. Raissi ◽

M. Aoun

Keyword(s):

Observer Design ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying ◽

Interval Observer ◽

Component Faults

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Convex Polyhedron Construction Based Parameter Estimation for Aero-engine Polynomial Linear Parameter Varying System

2009 Second International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2009.216 ◽

2009 ◽

Author(s):

Xiaobao Han ◽

Zhongsheng Wang

Keyword(s):

Parameter Estimation ◽

Convex Polyhedron ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Aero Engine ◽

Parameter Varying ◽

Linear Parameter Varying System

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Iterative Learning Approaches for Discrete-Time State and Disturbance Observer Design of Uncertain Linear Parameter-Varying Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2019.11.681 ◽

2019 ◽

Vol 52 (15) ◽

pp. 241-246

Author(s):

Andreas Rauh ◽

Julia Kersten ◽

Harald Aschemann

Keyword(s):

Discrete Time ◽

Disturbance Observer ◽

Iterative Learning ◽

Observer Design ◽

Learning Approaches ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying

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Interval observer design for continuous-time linear parameter-varying systems

Systems & Control Letters ◽

10.1016/j.sysconle.2019.104541 ◽

2019 ◽

Vol 134 ◽

pp. 104541 ◽

Cited By ~ 4

Author(s):

Jitao Li ◽

Zhenhua Wang ◽

Wenhan Zhang ◽

Tarek Raïssi ◽

Yi Shen

Keyword(s):

Continuous Time ◽

Observer Design ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying ◽

Interval Observer ◽

Time Linear

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Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.721 ◽

2017 ◽

Vol 50 (1) ◽

pp. 4033-4038 ◽

Cited By ~ 3

Author(s):

Rihab Lamouchi ◽

Messaoud Amairi ◽

Tarek Raïssi ◽

Mohamed Aoun

Keyword(s):

Actuator Fault ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Set Membership ◽

Fault Compensation ◽

Parameter Varying

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Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.699 ◽

2018 ◽

Vol 51 (24) ◽

pp. 1199-1204 ◽

Cited By ~ 1

Author(s):

Rihab Lamouchi ◽

Tarek Raïssi ◽

Messaoud Amairi ◽

Mohamed Aoun

Keyword(s):

Observer Design ◽

Fault Estimation ◽

Actuator Fault ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying ◽

Interval Observer

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LMI solutions to the mixed ℋ︁−/ℋ︁∞ fault detection observer design for linear parameter-varying systems

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.1184 ◽

2011 ◽

Vol 25 (2) ◽

pp. 114-136 ◽

Cited By ~ 38

Author(s):

X. Wei ◽

M. Verhaegen

Keyword(s):

Fault Detection ◽

Observer Design ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Parameter Varying

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Unknown Input Observer Design for Linear Parameter-Varying Systems in a Bounded Error Context

IEEE Transactions on Automatic Control ◽

10.1109/tac.2020.3027646 ◽

2020 ◽

pp. 1-1

Author(s):

Jitao Li ◽

Zhenhua Wang ◽

Tarek Raissi ◽

Yi Shen

Keyword(s):

Observer Design ◽

Unknown Input ◽

Linear Parameter ◽

Unknown Input Observer ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Bounded Error ◽

Parameter Varying

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On the fractional closed-loop linear parameter varying system identification under noise corrupted scheduling and output signal measurements

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331218821409 ◽

2019 ◽

Vol 41 (10) ◽

pp. 2909-2921

Author(s):

Zaineb Yakoub ◽

Messaoud Amairi ◽

Mohamed Aoun ◽

Manel Chetoui

Keyword(s):

Closed Loop ◽

Industrial Process ◽

Linear Parameter ◽

Linear Parameter Varying ◽

Linear Parameter Varying Systems ◽

Performance Constraints ◽

Instrumental Variable Method ◽

Parameter Varying ◽

And Performance ◽

Linear Parameter Varying System

It is well known that, in some industrial process identification situations, measurements can be collected from closed-loop experiments for several reasons such as stability, safety, and performance constraints. In this paper, we investigate the problem of identifying continuous-time fractional closed-loop linear parameter varying systems. The simplified refined instrumental variable method is developed to estimate both coefficients and differentiation orders. This method is established to provide consistent estimates when the output and the scheduling variable are contaminated by additive measurements noise. The proposed scheme is evaluated in comparison with other approaches in terms of a simulation example.

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