Data processing: artificial intelligence – Plural processing systems
Patent
1997-10-15
1999-08-24
Hafiz, Tariq R.
Data processing: artificial intelligence
Plural processing systems
706 15, G06F 1518
Patent
active
059436603
ABSTRACT:
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. This eliminates an off-line learning phase, and simplifies the initialization of neural network weights.
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Lewis F. L.
Yesildirek A.
Board of Regents , The University of Texas System
Hafiz Tariq R.
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