Claims
- 1. A method for controlling an internal combustion engine, comprising the steps of: measuring first information from said engine by using first plurality of sensors; providing said first information to a first engine control system, said first engine control system configured to provide a desired accuracy for said engine, said first control system providing a first control signal; measuring second information from said engine by using a second plurality of sensors, where said second plurality of sensors comprises fewer sensors than said first plurality of sensors, providing said second information to a second engine control system, said second engine control system providing a second control signal; and configuring said second engine control system using said first engine control signal and said second engine control signal
- 2. The method of claim 1, wherein said step of configuring comprises generating a physical criteria and generating an information criteria.
- 3. The method of claim 2, wherein said second control system wherein said physical criteria is calculated by an entropy model based on thermodynamic properties of said engine.
- 4. The method of claim 3, wherein said second control system wherein said physical criteria is calculated by an entropy model.
- 5. The method of claim 4, wherein said second control system is adapted to reduce an entropy production in said second control system and said engine.
- 6. The method of claim 5, wherein said thermodynamic model is based on engine air temperature and engine water temperature.
- 7. The method of claim 2, wherein said optimizer uses a genetic algorithm having a fitness function, wherein a portion of said fitness function based on entropy.
- 8. The method of claim 2, wherein said step of configuring further comprises providing said physical criteria and said information criteria to a genetic algorithm having a fitness function, said fitness function based on entropy.
- 9. The method of claim 2, wherein said step of configuring further comprises providing a training signal to a fuzzy neural network in said second control system.
- 10. The method of claim 1, wherein said first plurality of sensors and said second plurality of sensors comprise a temperature sensor.
- 11. The method of claim 1, wherein said first plurality of sensors comprises an oxygen sensor.
- 12. The method of claim 1, wherein said fuzzy neural network is trained in an off-line mode.
- 13. A control apparatus configured to control an engine, said apparatus comprising: engine control means for generating an engine control signal based on information from a plurality of sensors measuring said engine, said engine control means trained by optimizer means for generating a training signal, said optimizer means generating said training signal using said control signal and an optimal control signal provided by an optimal control means.
- 14. A control system adapted to control an engine, comprising: a reduced plurality of sensors configured to measure first information about said engine, a first engine controller configured to receive at least a portion of said first information, said first engine controller trained to produce a first control signal, where said first engine controller is trained to use relatively more of said at least a portion of said first information signal in order to reduce an entropy production of said plant.
- 15. The apparatus of claim 14, wherein said first engine controller comprises a fuzzy neural network configured to be trained by a genetic analyzer having a first fitness function, said first fitness function configured to increase mutual information between said first control signal and a second control signal, said second control signal provided by a second controller configured to receive information from a second plurality of sensors, wherein said second plurality of sensors is greater than said first plurality of sensors.
- 16. The apparatus of claim 15, wherein said genetic analyzer further comprises a second fitness function configured to reduce entropy production rate of said engine.
- 17. The apparatus of claim 16, wherein said genetic analyzer is configured to use said second fitness function to realize a node correction in said fuzzy neural network.
- 18. The apparatus of claim 15, wherein said first plurality of sensors comprises a temperature sensor.
- 19. The apparatus of claim 15, wherein said second plurality of sensors comprises an oxygen sensor.
- 20. The apparatus of claim 15, wherein said first plurality of sensors comprises a water temperature sensor, an air temperature sensor, and an airflow sensor.
- 21. The apparatus of claim 15, wherein said first plurality of sensors comprises a water temperature sensor, an air temperature sensor, an airflow sensor, and an oxygen sensor.
- 22. The apparatus of claim 15, wherein said first control signal comprises an injector control signal configured to control a fuel injector.
RELATED APPLICATION
[0001] This application is a continuation of U.S. application Ser. No. 09/176,987, filed on Oct. 22, 1998.
Continuations (1)
|
Number |
Date |
Country |
Parent |
09176987 |
Oct 1998 |
US |
Child |
09776413 |
Feb 2001 |
US |