Guided Systems Technologies, Inc.

Versatol, LLC

J Eric Corban

Anthony J Calise

Byoung-Soo Kim

Jared David Salzmann

An interior length of a confined space is inspected by autonomously flying an unmanned aerial vehicle having a sensor pod. The sensor pod can be tethered to the unmanned aerial vehicle and lowered into the confined space from above perhaps by an electromechanical hoist. An altitude or heading of the sensor pod can be measured. The confined space can be the flue of a chimney.

Method and apparatus for remote, interior inspection of cavities using an unmanned aircraft system

A computer system for controlling a nonlinear physical process. The computer system comprises a linear controller and a neural network. The linear controller receives a command signal for control of the nonlinear physical process and a measured output signal from the output of the nonlinear physical process. The linear controller generates a control signal based on the command signal, a measured output signal, and a fixed linear model for the process. The neural network receives the control signal from the linear controller and the measured output signal from the output of the nonlinear physical process. The neural network uses the measured output signal to modify the connection weights of the neural network. The neural network also generates a modified control signal supplied to the linear controller to iterate a fixed point solution for the modified control signal used to control the nonlinear physical process.

System and method for adaptive control of uncertain nonlinear processes

A process and neural network architecture for on-line adjustment of the weights of the neural network in a manner that corrects errors made by a nonlinear controller designed based on a model for the dynamics of a process under control. A computer system is provided for controlling the dynamic output response signal of a nonlinear physical process, where the physical process is represented by a fixed model of the process. The computer system includes a controlled device for responding to the output response signal of the system. The computer system also includes a linear controller for providing a pseudo control signal that is based on the fixed model for the process and provides a second controller, connected to the linear controller, for receiving the pseudo control signal and for providing a modified pseudo control signal to correct for the errors made in modeling the nonlinearities in the process. A response network is also included as part of the computer system. The response network receives the modified pseudo control signal and provides the output response signal to the controlled device. The second controller preferably is a neural network. The computer system may include a plurality of neural networks with each neural network designated to control a selected variable or degree of freedom within the system.

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McDonough, GA, United States of America

J Eric Corban