Sensor Fault Diagnosis Based on a Sliding Mode and Unknown Input Observer for Takagi‐Sugeno Systems with Uncertain Premise Variables

DOI10.1002/asjc.1913zbMath1422.93030OpenAlexW2897473857MaRDI QIDQ5194845

Ildeberto Santos-Ruiz, Francisco-Ronay López-Estrada, Carlos-Manuel Astorga-Zaragoza, Guillermo Valencia-Palomo, Samuel Gómez-Peñate, Roque A. Osornio-Rios

Publication date: 17 September 2019

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1913

zbMATH Keywords

fault diagnosissliding mode observerTakagi-Sugeno systemuncertain premise variables

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Control/observation systems with incomplete information (93C41) (H^infty)-control (93B36) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Variable structure systems (93B12)

Related Items (9)

Unknown input observer design for vehicle lateral dynamics described by Takagi–Sugeno fuzzy systems ⋮ Optimal robust fault detection of discrete‐time LPV systems with measurement error‐affected scheduling variables combining ZKF and pQP ⋮ Takagi–Sugeno fuzzy observer design for nonlinear descriptor systems with unmeasured premise variables and unknown inputs ⋮ Actuator and sensor fault estimation based on a proportional multiple‐integral sliding mode observer for linear parameter varying systems with inexact scheduling parameters ⋮ A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay ⋮ Relaxed state and fault estimation for vehicle lateral dynamics represented by T-S fuzzy systems ⋮ Predictive direct torque control with reduced ripples for induction motor drive based on T‐S fuzzy speed controller ⋮ Integrated fault-tolerant control approach for linear time-delay systems using a dynamic event-triggered mechanism ⋮ Actuator fault estimation based on a proportional-integral observer with nonquadratic Lyapunov functions

Uses Software

• YALMIP

Cites Work

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