Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine

Air-Fuel Ratio Control of a Lean Burn SI Engine Using Fuzzy Self Tuning Method

Reducing the exhaust emissions of an spark ignition engine by means of engine modifications requires consideration of the effects of these modifications on the variations of crankshaft torque and the engine roughness respectively. Only if the roughness does not exceed a certain level the vehicle do not begin to surge. This paper presents a method for controlling the air-fuel ratio for a lean bu...

Model Predictive Fuzzy Control of Air-ratio for Automotive Engines

Automotive engine air-ratio plays an important role of emissions and fuel consumption reduction while maintains satisfactory engine power among all of the engine control variables. In order to effectively control the air-ratio, this paper presents a model predictive fuzzy control algorithm based on online least-squares support vector machines prediction model and fuzzy logic optimizer. The prop...

Heteroscedastic Relevance Vector Machine

In this work we first propose a heteroscedastic generalization to RVM, a fast Bayesian framework for regression, based on some recent similar works. We use variational approximation and expectation propagation to tackle the problem. The work is still under progress and we are examining the results and comparing with the previous works.

Adaptive Model Predictive Control of Diesel Engine

Fuzzy Air-Fuel Ratio Control of a Small Gasoline Engine

This paper describes an investigation in which a fuzzy control paradigm was applied to a small spark-ignition gasoline-fuelled internal-combustion engine, to achieve regulation of the fuel injection system. The control system determined the amount of fuel required from a fuzzy algorithm that used the engine speed and manifold air pressure as input values. The parameters of the fuzzy system cons...