Abstract:
This paper presents an adaptive neural network (ANN) observer based on deterministic learning (DL) theory for a class of discrete-time nonlinear system with sensor faults...Show MoreMetadata
Abstract:
This paper presents an adaptive neural network (ANN) observer based on deterministic learning (DL) theory for a class of discrete-time nonlinear system with sensor faults. The attractiveness is that the exponential stability of the state and parameter estimation error system is proved, and thus locally-accurate approximation of sensor faults is achieved. The simulation example shows the effectiveness of the proposed approach.
Published in: 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)
Date of Conference: 17-18 December 2021
Date Added to IEEE Xplore: 01 February 2022
ISBN Information: