activity
20152021
most citedFault Estimation Filter Design with Guaranteed Stability Using Markov Parameters

33 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2021

A Polynomial Chaos Approach to Robust Static Output-Feedback Control with Bounded Truncation Error

Yiming Wan, Dongying E. Shen, Sergio Lucia +2

This article considers the static output-feedback control for linear time-invariant uncertain systems with polynomial dependence on probabilistic time-invarian…

eess.SY2017★ 33 cited

Fault Estimation Filter Design with Guaranteed Stability Using Markov Parameters

Yiming Wan, Tamas Keviczky, Michel Verhaegen

For additive actuator and sensor faults, we propose a systematic method to design a state-space fault estimation filter directly from Markov parameters identified from fault-free d…

eess.SY2016★ 3 cited

Implementation of real-time moving horizon estimation for robust air data sensor fault diagnosis in the RECONFIGURE benchmark

Yiming Wan, Tamas Keviczky

This paper presents robust fault diagnosis and estimation for the calibrated airspeed and angle-of-attack sensor faults in the RECONFIGURE benchmark. We adopt a low-order longitudi…

eess.SY2016★ 2 cited

Robust Air Data Sensor Fault Diagnosis With Enhanced Fault Sensitivity Using Moving Horizon Estimation

Yiming Wan, Tamas Keviczky, Michel Verhaegen

This paper investigates robust fault diagnosis of multiple air data sensor faults in the presence of winds. The trade-off between robustness to winds and sensitivity to faults is c…

eess.SY2015★ 2 cited

Direct identification of fault estimation filter for sensor faults

Yiming Wan, Tamas Keviczky, Michel Verhaegen

We propose a systematic method to directly identify a sensor fault estimation filter from plant input/output data collected under fault-free condition. This problem is challenging,…

eess.SY2015★ 2 cited

Data-Driven Robust Receding Horizon Fault Estimation

Yiming Wan, Tamas Keviczky, Michel Verhaegen +1

This paper presents a data-driven receding horizon fault estimation method for additive actuator and sensor faults in unknown linear time-invariant systems, with enhanced robustnes…