Robust adaptive unknown input observer design for a class of disturbed systems

This paper proposes a novel approach for designing a robust adaptive unknown input observer (UIO) for a class of nonlinear system. The system is composed of nonlinear terms and exogenous disturbance and fault signals which are considered to be unknown. The main contribution of the paper is to presen...

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Bibliographic Details
Published in:Systems science & control engineering 2020-01, Vol.8 (1), p.249-257
Main Authors: Soleymani, Reza, Nekoui, Mohammad Ali, Moarefianpour, Ali
Format: Article
Language:English
Subjects:
Adaptive systems
disturbed nonlinear system
Linear matrix inequalities
Mathematical analysis
Nonlinear systems
robust adaptive observer
Robustness (mathematics)
Systems stability
Unknown input observer
Upper bounds
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Summary:This paper proposes a novel approach for designing a robust adaptive unknown input observer (UIO) for a class of nonlinear system. The system is composed of nonlinear terms and exogenous disturbance and fault signals which are considered to be unknown. The main contribution of the paper is to present the UIO system that uses adaptive law and linear matrix inequality (LMI). Adaptive law is used for system current fault estimation and LMI is used to provide the feasible set of responses while ensuring system stability. The effectiveness of the proposed method is shown by applying to the numerical examples. The simulation results show the validity of this method for a nonlinear system with unknown upper bound disturbance.
ISSN:2164-2583
2164-2583
DOI:10.1080/21642583.2020.1739578