@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},
	}