@article{(Open Science Index):https://publications.waset.org/pdf/9738, title = {Model Predictive Fuzzy Control of Air-ratio for Automotive Engines}, author = {Hang-cheong Wong and Pak-kin Wong and Chi-man Vong and Zhengchao Xie and Shaojia Huang}, country = {}, institution = {}, abstract = {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 proposed control algorithm was also implemented on a real car for testing and the results are highly satisfactory. Experimental results show that the proposed control algorithm can regulate the engine air-ratio to the stoichiometric value, 1.0, under external disturbance with less than 5% tolerance.}, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {7}, number = {3}, year = {2013}, pages = {383 - 388}, ee = {https://publications.waset.org/pdf/9738}, url = {https://publications.waset.org/vol/75}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 75, 2013}, }