|국가/구분||United States(US) Patent 등록|
|미국특허분류(USC)||706/010 ; 706/015|
|발명자 / 주소|
|출원인 / 주소|
|대리인 / 주소||
|인용정보||피인용 횟수 : 22 인용 특허 : 16|
A method for linearization of feedback in neural networks, and a neural network incorporating the feedback linearization method are presented. Control action is used to achieve tracking performance for a state-feedback linearizable, but unknown nonlinear control system. The control signal comprises a feedback linearization portion provided by neural networks, plus a robustifying portion that keep the control magnitude bounded. Proofs are provided to show that all of the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Thi...
[ What is claimed is:] [1.] A method of adaptively controlling a plant having at least one measurable state and at least first and second unknown functions of said measurable state, comprising:sensing said at least one measurable state;comparing said sensed state with a desired state in a first feedback loop to produce an error signal;calculating, as a function of said sensed state, a first unknown function estimate using a first multi-layer neural network process in a second feedback loop, said first multi-layer neural network process having multiple la...