Fault detection for interval type-2 fuzzy systems with sensor nonlinearities

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Veröffentlicht in:Neurocomputing (Amsterdam) Jg. 145; S. 488 - 494
Hauptverfasser: Pan, Yingnan, Li, Hongyi, Zhou, Qi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier 05.12.2014
Schlagworte:
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Exact sciences and technology
General equipment and techniques
Industrial metrology. Testing
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Logical, boolean and switching functions
Mechanical engineering. Machine design
Modelling and identification
Physics
Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
Theoretical computing
H infinite optimization
Membership function
Saturation
Sensor nonlinearities
Measurement sensor
Filter design
Modeling
Fuzzy logic
Asymptotic stability
Interval type-2 fuzzy system
Fault detection
Filter
Observer
Feasibility
System identification
Fault diagnostic
Defect detection
Lyapunov function
ISSN:0925-2312
Online-Zugang:Volltext
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ISSN:0925-2312
DOI:10.1016/j.neucom.2014.05.005