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Adaptive control systems
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Industry
CPC
G05B13/00
This industry / category may be too specific. Please go to a parent level for more data
Parent Industries
G
PHYSICS
G05
Controlling systems
G05B
CONTROL OR REGULATING SYSTEMS IN GENERAL FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
Current Industry
G05B13/00
Adaptive control systems
Sub Industries
G05B13/02
electric
G05B13/0205
not using a model or a simulator of the controlled system
G05B13/021
in which a variable is automatically adjusted to optimise the performance
G05B13/0215
using trial and error method, including "peak-holding"
G05B13/022
using a perturbation of the variable
G05B13/0225
being a periodic perturbation
G05B13/023
being a random or a self-induced perturbation
G05B13/0235
using steepest descent or ascent method
G05B13/024
in which a parameter or coefficient is automatically adjusted to optimise the performance
G05B13/0245
not using a perturbation signal
G05B13/025
using a perturbation signal
G05B13/0255
the criterion being a time-optimal performance criterion
G05B13/026
using a predictor
G05B13/0265
the criterion being a learning criterion
G05B13/027
using neural networks only
G05B13/0275
using fuzzy logic only
G05B13/028
using expert systems only
G05B13/0285
using neural networks and fuzzy logic
G05B13/029
using neural networks and expert systems
G05B13/0295
using fuzzy logic and expert systems
G05B13/04
involving the use of models or simulators
G05B13/041
in which a variable is automatically adjusted to optimise the performance
G05B13/042
in which a parameter or coefficient is automatically adjusted to optimise the performance
G05B13/044
not using a perturbation signal
G05B13/045
using a perturbation signal
G05B13/047
the criterion being a time optimal performance criterion
G05B13/048
using a predictor
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