|
gptkbp:instanceOf
|
Control System
|
|
gptkbp:advantage
|
Robustness
Difficult to Tune
Handles Uncertainty
Lack of Formal Design Methods
No Need for Precise Mathematical Model
Rule Explosion
|
|
gptkbp:appliesTo
|
gptkb:Nonlinear_Systems
gptkb:Complex_Systems
|
|
gptkbp:combines
|
gptkb:Genetic_Algorithms
gptkb:Neural_Networks
gptkb:Adaptive_Control
PID Control
|
|
gptkbp:developedBy
|
gptkb:Lotfi_Zadeh
|
|
gptkbp:firstAppliedIn
|
gptkb:Cement_Kiln_Control
gptkb:Subway_Train_Control
|
|
gptkbp:hasApplication
|
gptkb:Game_AI
gptkb:HVAC_Systems
gptkb:Power_Systems
gptkb:Elevator_Control
gptkb:Financial_Systems
gptkb:Unmanned_Vehicles
Automatic Transmission
Medical Devices
Water Treatment
Washing Machines
Camera Autofocus
Air Conditioners
Traffic Control
|
|
gptkbp:hasComponent
|
fuzzy logic
Defuzzification
Fuzzification
Membership Functions
Rule Base
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Fuzzy Control
|
|
gptkbp:originatedIn
|
1970s
|
|
gptkbp:relatedTo
|
gptkb:artificial_intelligence
gptkb:Expert_Systems
gptkb:Neural_Networks
gptkb:Adaptive_Control
gptkb:Classical_Control_Theory
|
|
gptkbp:standardizedBy
|
gptkb:IEC_61131-7
|
|
gptkbp:usedIn
|
gptkb:consumer_electronics
gptkb:robot
gptkb:Automotive_Systems
Industrial Automation
Process Control
|
|
gptkbp:uses
|
gptkb:Fuzzy_Logic
|
|
gptkbp:bfsParent
|
gptkb:Fuzzy_Logic
|
|
gptkbp:bfsLayer
|
5
|