FIELD: information technology.
SUBSTANCE: device has a control object, an efficiency coefficient unit, a control neural network self-training rule unit, a system operation history unit, a control neural network, a fuzzification unit, a fuzzy output unit and a defuzzification unit.
EFFECT: improved adaptive properties of the control system.
5 dwg, 1 tbl
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MODIFIED INTELLIGENT CONTROLLER WITH FUZZY RULES AND NEURAL NETWORK TRAINING UNIT | 2021 |
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RU2774625C1 |
INTELLECTUAL CONTROLLER WITH NEURON NETWORK AND SELF-MODIFICATION RULES | 2003 |
|
RU2266558C2 |
INTELLIGENT CONTROLLER WITH SELF-MODIFICATION RULES OF EDUCATIONAL AND CONTROL NEURAL NETWORKS | 2011 |
|
RU2447494C1 |
NEURON NETWORK CONTROL FOR CALCINATION PROCESS CONTROL IN SHAFT-TYPE FURNACES | 2009 |
|
RU2445668C2 |
SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS | 2021 |
|
RU2763384C1 |
METHOD FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS | 2021 |
|
RU2763125C1 |
DEVICE OF DYNAMIC CONTROL OF VOLTAGE MODE IN ELECTRIC CIRCUIT WITH APPLICATION OF fuzzy LOGIC | 2011 |
|
RU2467447C1 |
ADAPTIVE AUTOMATIC SWITCHOVER | 2022 |
|
RU2796515C1 |
CONTROL DEVICE OF VOLTAGE MODE IN ELECTRIC NETWORK BY USING FUZZY LOGIC | 2010 |
|
RU2416855C1 |
SYSTEM FOR DETECTING AND MONITORING ZONES OF CHANGE IN THE STRESS-STRAIN STATE OF BUILDING STRUCTURES | 2019 |
|
RU2747160C2 |
Authors
Dates
2014-01-10—Published
2012-10-30—Filed