Patent · US Expired

Parameterized neurocontrollers

US5486996A · kind A · utility

179Cited by
4References
9Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 22, 1993
Grant dateJan 23, 1996
Priority date—
Expiry dateJan 22, 2013

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG05B13/027
  • WIPO fieldControl
  • WIPO sectorInstruments

Abstract

A controller based on a neural network whose output is responsive to input signals that represent user or designer defined control system parameters which may include process parameters, control parameters and/or disturbance parameters. The neural network can be "trained" to mimic an existing controller which may or not receive inputs of control system parameters. The trained neural network controller may have advantages of faster execution and reduced code size. The neural network can also be trained to result in a nonlinear controller that is more powerful than an existing controller.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.