Litcius/Paper detail

Fault Estimation for Mode-Dependent IT2 Fuzzy Systems With Quantized Output Signals

R. Sakthivel, Ramasamy Kavikumar, Ardashir Mohammadzadeh, Oh‐Min Kwon, B. Kaviarasan

2020IEEE Transactions on Fuzzy Systems65 citationsDOI

Abstract

The aim of this article is to analyze the problem of fault estimation for mode-dependent interval type-2 fuzzy systems with quantized output measurements. Different from the existing fault estimation methods requiring the observer matching condition, a new fault estimation technique is proposed, wherein a stochastically intermediate variable subject to the information on operating modes is considered, under which a robust observer is constructed to simultaneously estimate the state and faults. Based on the strategy of linear matrix inequality, sufficient conditions are established to ensure that the states of resulting systems are bounded in probability sense. By offering three illustrative examples, in which two of them are practical models, namely, tunnel diode circuit system and Rössler system, the availability and feasibility of the proposed design method are explained.

Topics & Concepts

Control theory (sociology)Observer (physics)Fault (geology)Fuzzy logicComputer scienceBounded functionMode (computer interface)Fault detection and isolationInterval (graph theory)Linear matrix inequalityMathematicsMathematical optimizationArtificial intelligenceOperating systemMathematical analysisControl (management)CombinatoricsGeologyPhysicsSeismologyActuatorQuantum mechanicsFuzzy Logic and Control SystemsNeural Networks and ApplicationsFault Detection and Control Systems