Related Experiment Video
Updated: Oct 26, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
Adjustable dimension estimator-based robust fault reconstruction for nonlinear Markovian jump systems with
Yunfei Mu1, Jiasen Li2, Zhijie Han2
1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110819, China; Foshan Graduate School of Innovation, Northeastern University, Foshan, Guangzhou, 528311, China.
Abstract:
This paper investigates the robust fault reconstruction problem for continuous-time nonlinear Markovian jump systems (MJSs) subject to simultaneous multiple faults, unknown inputs, multiple disturbances and Lipschitz nonlinearities. Existing observers for MJSs are confined to fixed dimensions, which prevents a reasonable trade-off between estimation accuracy and cost. To remove this limitation, an adjustable dimension estimator is proposed, whose order can be selected flexibly to achieve a reasonable accuracy-cost balance. Through the Lyapunov stability analysis and the robust control techniques, sufficient conditions in the form of linear matrix inequalities (LMIs) are derived to guarantee robust stochastic stability of the error dynamics, thereby enabling the accurate estimation of process faults and sensor faults while decoupling unknown inputs and attenuating multiple disturbances. The effectiveness of the proposed method is finally demonstrated through the F-404 aircraft engine model, which is a typical application of MJSs.
Related Concept Videos
Propagation of Uncertainty from Systematic Error
Propagation of Uncertainty from Random Error
BIBO stability of continuous and discrete -time systems
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Multi-input and Multi-variable systems
In the absence of...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Linear Approximation in Time Domain
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...