@article { , title = {Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study}, abstract = {This paper investigates a mixed H−/H∞ linear parameter varying (LPV) fault estimator using an LPV reference estimator. LMIs are used to calculate the affine parameter-dependent gains of the LPV fault estimator. The design strategy is applied to a high fidelity nonlinear aircraft model provided by AIRBUS for use within the EU-FP7 project ADDSAFE, to estimate the yaw rate sensor faults in the Air Data Inertial Reference System in the presence of the parametric uncertainties. The fault detection performances in various flight conditions are evaluated using the parametric simulation.}, doi = {10.1016/j.conengprac.2015.12.006}, issn = {0967-0661}, journal = {Control engineering practice}, pages = {194-203}, publicationstatus = {Published}, publisher = {Elsevier}, url = {https://hull-repository.worktribe.com/output/438774}, volume = {49}, keyword = {Renewable Energy and Storage Technologies, Specialist Research - Other, Fault detection and diagnosis, Mixed H−/H∞ optimisation, Reference model}, year = {2016}, author = {Chen, Lejun and Patton, Ron and Goupil, Philippe} }