Fault-Tolerant Integration of Abstract Sensor Estimates Using Multiresolution Decomposition'

Functional characterization of fault tolerant integration in distributed sensor networks

Fault-tolerance is an important issue in network design because sensor networks must function in a dynamic, uncertain world. A functional characterization of the fault-tolerant integration of abstract interval estimates is proposed. This model provides a preliminary version for a general framework that is hoped to develop to address the general problem of fault-tolerant integration of abstract ...

A general computational framework for distributed sensing and fault-tolerant sensor integration

This paper proposes an abstract framework to address the problem of fault-tolerant integration of information provided by multiple sensors. Extending our earlier results[lO], this paper presents a formal description of spatially distributed sensor networks, where i) clusters of sensors monitor (possible overlapping) regions of the environment; ii) sensors return measured values of a multi-dimen...

A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays

This paper addresses the problems of robust fault estimation and fault-tolerant control for Takagi–Sugeno (T–S) fuzzy systems with time delays and unknown sensor faults. A fuzzy augmented state and fault observer is designed to achieve the system state and sensor fault estimates simultaneously. Furthermore, based on the information of on-line fault estimates, an observer-based dynamic output fe...