System for intelligent control of an engine based on soft computing

A method for controlling an internal combustion engine, comprising the steps of:

• measuring first information from said engine by using a 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 training said second engine control system using a training signal obtained from a physical criteria related to entropy and an information criteria, said information criteria computed from a difference between said first control signal and said second control signal, wherein said first plurality of sensors and said second plurality of sensors comprise a temperature sensor.

A method for controlling an internal combustion engine, comprising the steps of:

• measuring first information from said engine by using a 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 training said second engine control system using a training signal obtained from a physical criteria related to entropy and an information criteria, said information criteria computed from a difference between said first control signal and said second control signal, wherein said first plurality of sensors comprises an oxygen sensor.

A method for controlling an internal combustion engine, comprising the steps of:

• measuring first information from said engine by using a 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 training a fuzzy neural network in said second engine control system using a training signal obtained from a physical criteria related to entropy and an information criteria, said information criteria computed from a difference between said first control signal and said second control signal, wherein said fuzzy neural network is trained in an off-line mode.