Method for computer-aided control and/or regulation using two neural networks wherein the second neural network models a quality function and can be used to control a gas turbine
US8447706B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2008 |
| Grant date | May 21, 2013 |
| Priority date | — |
| Expiry date | Jan 26, 2030 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF05D2270/709
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for a computer-aided control of a technical system is provided. The method involves use of a cooperative learning method and artificial neural networks. In this context, feed-forward networks are linked to one another such that the architecture as a whole meets an optimality criterion. The network approximates the rewards observed to the expected rewards as an appraiser. In this way, exclusively observations which have actually been made are used in optimum fashion to determine a quality function. In the network, the optimum action in respect of the quality function is modeled by a neural network, the neural network supplying the optimum action selection rule for the given control problem. The method is specifically used to control a gas turbine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.