A preview of the PDF is not available
Actuator Fault Estimation Using Neuro-Sliding Mode Observers
Abstract and Figures
Reformulated principle for designing actuator fault estimation for continuous-time linear MIMO systems, based on neuro-sliding mode observer structure, is presented in this paper. Radial basis function neural network is used as a model-free fault approximator of the unknown additive fault. The method utilizes Lyapunov function and the steepest descent rule to guarantee the convergence of the estimation error asymptotically, where the design parameters can be obtained using LMI techniques. Finally, the proposed fault estimation scheme is applied to a nonlinear water tank system and simulation results illustrate its satisfactory performance.
Figures - uploaded by Robert Fonod
All figure content in this area was uploaded by Robert Fonod
Content may be subject to copyright.