[1] Astrom, K. J., Wittenmark, B., Adaptive
Control, Addison-Wesley (1995)
[2] Cho, D., Hedrick, J.K., A nonlinear
controller design method for fuel-injected
automotive engines, ASME, Journal of
Engineering Gas Turbine Power, 110 (3),
313-320 (1988).
[3] Cho, D., Oh, H., Variable structure control
method for fuel-injected systems, Journal of
Dynamic Systems, Measurement and
Control, 115, 475-481 (1993).
[4] Choi, S.B., Hedrick, J.K., An observer based
controller design method for improving
air/fuel characteristics of spark ignition
engines, IEEE Transactions on Control
System Technology, 6 (3), 325-334 (1988).
[5] Kaidantzis, P., Rasmussen, P., Jensen, M.,
Vesterholm, T., Hendricks, E., Robust, SelfCalibrating
Lambda Feedback for SI
Engines, SAE 930860 (1993).
[6] Won, M., Choi, S.B., Hedrick, J.K., Air-tofuel
ratio control of spark ignition engines
using Gaussian network sliding control,
IEEE Transactions on Control System
Technology, 6 (5), 678-687 (1998).
[7] Yoon, P., Sunwoo, M., An adaptive sliding
mode controller for air-fuel ratio control of
spark ignition engines, Journal of
Automobile Engineering, 215 (D2), 305-315
(2001).
[8] Raghuram, P., Ramkumar, P., Sreenivasan,
M., Puhan, S., Air-Fuel Ratio Calculations
In An Internal Combustion Engine Based
On The Cylinder Pressure Measurements,
International Journal of Engineering
Research and Applications, 2 (6), 1378-1385
(2012).
[9] Yinhua, L., Tielong, S., Kota, S., Kenji, S.,
Modeling of Individual Cylinder Air-Fuel
Ratio for IC Engines with Multi-Cylinders,
Proceedings of 30th Chinese Control
Conference, 6151-6156 (2012).
[10] Turin, R., Geering, H., Model-Reference
Adaptive A/F Ratio Control in an SI Engine
Based on Kalman-Filtering Techniques,
American Control Conference, 4082-4090
(1995).
[11] Powell, J.D., Fekete, N.P., Chang, C.F.,
Observer-Based Air-Fuel Ratio Control,
IEEE Control Systems Magazine, 18 (5), 72-
83 (1998).
[12] Mianzo, L., Peng, H., Haskara I., Transient
Air-Fuel ratio H∞ Preview Control of a
Drive-by-Wire Internal Combustion Engine,
American Control Conference, 2867-2871
(2001).
[13] Muske, K.R., Jones, C.P.J., A Model-based
SI Engine Air Fuel Ratio Controller,
American Control Conference, 3284-3289
(2006).
[14] Chang, C.F., Fekete, N.P., Powell, J.D.,
Engine Air-Fuel Ratio Control Using an
Event-Based Observer, SAE Paper No.
930766 (1993).
[15] Stefanopoulou, A.G., Grizzle, J.W.,
Freudenberg, J.S., Engine Air-Fuel Ratio
and Torque Control using Secondary
Throttles, Conference on Decision and
Control, 2748-2753 (1994).
[16] Zhang, F., Grigoriadis, K., Franchek, M. and
Makki, I., Linear Parameter Varying Lean
Burn Air-Fuel Ratio Control for a Spark
Ignition Engine, Journal of Dynamic
Systems, Measurement and Control, 129,
404-414 (2007).
[17] Howlett, R.J., Howson, P.A., Walters, S.D.,
Pashley, N., Determination of air fuel ratio
in an automotive ignition system using
neural networks, International Symposium
on Automotive Technology and
Applications, Italy (1996).
[18] Howlett, R.J., Howson, P.A., Walters, S.D.,
Condition monitoring in an automotive
spark ignition engine using a multi-computer
neural network, COMADEM, UK (1996).
[19] Howlett, R.J., Condition monitoring and
fault diagnosis in car engines, Condition
Monitor, Elsevier Science Publications
(1996).
[20] Howlett, R.J., Monitoring and control of an
internal combustion engine air-fuel ratio
using neural and fuzzy techniques,
International Symposium on the Engineering
of Intelligent Systems, Spain (1998).
[21] Majors, M., Stori, J., Cho, D., Neural
network control of automotive fuel-injection
systems, IEEE Control Systems Magazine,
14 (3) (1994).
[22] Frith, A.M., Gent, C.R., Beaumont, A.J.,
Adaptive control of gasoline engine air-fuel
ratio using artificial neural networks, IEEE
Conference on Artificial Neural Networks,
UK (1995).
[23] Hanzevack, E.L., Long, T.W., Atkinson,
C.M., Traver, M.L., Virtual sensors for
spark ignition engines using neural
networks, Proceedings of the American
Control Conference, U.S. (1997).
[24] Arora, N., Regulating air-fuel balance in
combustion engines using CMAC Neural
Networks, IEEE Xplore via International
Conference on Methods and Models in
Computer Science, JNU, New Delhi, India
(2009).
[25] John B.L Heywood, Internal Combustion
Engine Fundamentals, McGraw-Hill, Inc.
(1988).
[26] Shing, J., Jang, R., ANFIS: adaptivenetwork-based
fuzzy inference system, IEEE
Transactions on Systems, Man and
Cybernetics, 23, 665-683 (1993).
[27] Tsoukalas, L.H., Uhrig, R.E., Fuzzy and
Neural Approaches in Engineering, John
Wiley & Sons Inc. (1997).
[28] Roy, S.S., Design of adaptive neuro-fuzzy
inference system for predicting surface
roughness in turning operation, Journal of
Scientific & Industrial Research, 64, 653-
659 (2005).
Thank you for copying data from http://www.arastirmax.com