Adaptive Architecture for Controlling Uncertain Systems with Unmodeled Dynamics

Patent №

US 11,106,183

Granted

2021-08-31

Filed 2018

Owner

UNIVERSITY OF SOUTH FLORIDA

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16234393

Various examples are provided related to adaptive architectures for controlling uncertain system with unmodeled dynamics. A closed-loop dynamical system subject to an adaptive controller can remain stable if there does not exist significant unmodeled dynamics or the effect of system uncertainties is negligible. In one example, a system includes a controller that can receive one or more input signals including control signals, sensor data associated with operation of the aircraft or aviation system, or a combination thereof; generate an system control signal utilizing a model reference adaptive control architecture comprising an adaptive robustifying term that maintains system stability within defined bounds; and provide the system control signal to an actuator or other system components to adjust operation of, e.g., an aircraft or aviation system.

Machine learningPlanningAI hardwareB64C 13/16G05B 13/042B64D 45/00G06F 17/11G06F 17/16

AI classification

Planning1.00
Machine learning0.99
AI hardware0.92
Evolutionary computation0.01
Natural language0.00
Vision0.00
Knowledge representation0.00
Speech0.00

Ownership

UNIVERSITY OF SOUTH FLORIDA

assignment · 519310036

Assignors

DOGAN, KADRIYE MERVE, GRUENWALD, BENJAMIN C., YUCELEN, TANSEL

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC