Automatica (Journal of IFAC)
Robust H∞ control for discrete-time fuzzy systems via basis-dependent Lyapunov functions
Information Sciences: an International Journal
International Journal of Systems Science
Exponential H∞ filter design for uncertain Takagi-Sugeno fuzzy systems with time delay
Engineering Applications of Artificial Intelligence
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Stability and stabilization of a class of fuzzy time-delay descriptor systems
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Fault Detection for Uncertain Fuzzy Systems: An LMI Approach
IEEE Transactions on Fuzzy Systems
Brief An LMI approach to design robust fault detection filter for uncertain LTI systems
Automatica (Journal of IFAC)
Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty
Automatica (Journal of IFAC)
Technical Communique: A frequency domain approach to fault detection in sampled-data systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical communique: Norm invariant discretization for sampled-data fault detection
Automatica (Journal of IFAC)
Relaxed fault detection and isolation: An application to a nonlinear case study
Automatica (Journal of IFAC)
Technical communique: Identification of dynamical systems with a robust interval fuzzy model
Automatica (Journal of IFAC)
Fault detection with network communication
International Journal of Systems Science - Fault Diagnosis and Fault Tolerant Control
Passivity analysis and passive control of fuzzy systems with time-varying delays
Fuzzy Sets and Systems
Fault tolerance in networked control systems under intermittent observations
International Journal of Applied Mathematics and Computer Science
Brief paper: H∞ filtering with randomly occurring sensor saturations and missing measurements
Automatica (Journal of IFAC)
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This paper investigates the problem of fault detection for Takagi-Sugeno (T-S) fuzzy systems with intermittent measurements. The communication links between the plant and the fault detection filter are assumed to be imperfect (i.e., data packet dropouts occur intermittently, which appear typically in a network environment), and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the unreliable communication links. The aim is to design a fuzzy fault detection filter such that, for all data missing conditions, the residual system is stochastically stable and preserves a guaranteed performance. The problem is solved through a basis-dependent Lyapunov function method, which is less conservative than the quadratic approach. The results are also extended to T-S fuzzy systems with time-varying parameter uncertainties. All the results are formulated in the form of linear matrix inequalities, which can be readily solved via standard numerical software. Two examples are provided to illustrate the usefulness and applicability of the developed theoretical results.