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Devices and methods for controlling hardware agents in control scenarios with multiple hardware agents.
Active
CN114077242B
Autonomous decision making process
Neural learning methods
Computer hardware
Probable Control
An apparatus and method for controlling hardware agents in a control situation having multiple hardware agents. According to various embodiments, a method is described, comprising: determining a potential function via a first neural network; determining a control
scenario
for the control situation from a plurality of possible control scenarios via a second neural network; determining a common action sequence of the plurality of hardware agents by searching for the optimal value of the potential function determined with respect to possible common action sequences of the determined control
scenario
; and controlling at least one of the plurality of hardware agents according to the determined common action sequence.
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Owner:
ROBERT BOSCH GMBH
Selector and combiner for control law modules of an adaptive engine
Pending
US20260142137A1
Electric discharge tubes
Control signal
Control engineering
This disclosure describes systems, methods, and apparatus for a selector and combiner of an adaptive engine. The adaptive engine can combinations of
estimation
and control laws to produce a multitude of possible control signals based on inputs such as a reference
signal
. A
nonlinear model
of the
system
can generate estimated
system
outputs for each of the possible controls signals. The selector and combiner can use the estimated
system
outputs to determine a best of the possible control signals, or a best combination of the possible control signals, such that the control approaches a desired measured output of the system.
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Owner:
ADVANCED ENERGY IND INC
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