___

• Sheridan,T.B.,Ferrell,W.R, 1974, Man-Machine Systems, The MIT Press
• Cacciabue P.C., 1996, Understanding and modelling man-machine interaction, Commision of the European Communities, Joint Research Center, Institıte for Systes engineering and Informatics, Nuclear Engineering and design 165 pp 351-358
• McRuer, D.T., 1980, Human Dynamics in Man-Machine Systems, Automatica, Vol.16, pp.237-253.
• Kleinman, D.L., Baron, S., Levison, W.H., 1970, An Optimal Control Model of Human Response Part I: Theory and Validation, Automatica, Vol.6, pp.357-369
• Baron, S., Kleinman, D.L., Levison, W.H., 1970, An Optimal Control Model of Human Response Part II: Prediction of Human Performance in a Complex Task, Automatica, Vol.6, pp.371-383
• Doman, D.B., Anderson, M.R.,2000, Fixed-Order Optimal Control Model of Human Operator Response, Automatica, Vol.36, pp.409-418
• Kleinman, D.L.,1969, Optimal Lineer Control For Systems with Time Delay and Observation Noise, IEE Transactions on Automatic Control, Vol.AC-14, No:4, pp357-367,October
• Enab,Y.M., 1994, Controller Design for an Unknown Process, Using Simulation of a Human Operator, Eng. Application Artificial Intelligent, Pergamon, Vol.8 No.3 pp:299-308
• Enab, Y.M., 1996, Intelligent Controller Design for The Ship Steering Problem, IEE, Vol 143, No.1
• Kosko,B., 1992, Neural Networks and Fuzzy Systems : A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, New York
• James, H.M., Nichols, N.B, Phillips, R.S., 1947, Theory of Servomechanism , McGrawHill, New York, pp 360-368,
• Tustin, A., 1947, An Investigation Of The Operator’s Response in Manual Control and its Implications For Controller Design, J.Inst. Elec.Engrs. 94
• Wiener, P., 1950, Extrapolation, Interpolation and Smoothing of Stationary Time Series, John Wiley, New york
• Elkind, J.I., 1956, Characteristics of Simple Manual Control Systems, TR111, Mass. Inst. Tech. Lincoln Lab., Lexington, April
• MacRuer, D.T., Krendel, E.S., 1957, Dynamic Response of Human Operators. Wreight Air Dev. Center WADC TR56-524, Wreight-Patterson Air Force Base, Ohio, October
• McRuer, D.T., Graham,D., Krendel, E.S., Reisener, W., 1965, Human Pilot Dynamics in Vompensatory Systems, Theory, Models and Experiments with Controlled Element and Focusing Function Variations. AFFDL-TR-65-15, July
• McRuer, D.T., Ashkenas, I.L., Pass, H.R., 1964, Analysis of Multiloop Vehicular Control Systems, ASD-TDR-62-1014, March
• Stapelford, R.L., MacRuer,D.T, Magdaleno, R., 1966, Pilot Describing Function Measurement in a Multiloop Task, NASA CR-542, August
• McRuer, D.T., Hofman,L.G, 1968, New Approaches to Human Pilot / Vehicle Dynamic Analysis. AFFDL-TR-67-150, February
• Elkind, J.I., Falb, P.F., 1968, An Optimal Control Method For Prediction Control Characteristics And Display Reqıirements of Manned-Vehicle systems. AFFDL-TR-67-187, April
• Kleinman, D.L., Perkins,T.R., 1974, Modeling Human Performance in a Time-Varying Anti-Aircraft Tracking Loop , IEEE Transactions on Automatic Control, Vol.AC-19, No:4, pp.297-306, August
• Weir, D.H., McRuer, D.T., 1970, Dynamics of Driver Vehicle Steering Control, Automatica, Vol.6, pp.87-98
• Gingrich, C G; Kuespert, D R; McAvoy, T J., 1992, Modeling human operators using neural networks, Chemical Engineering Department, University of Maryland, ISA Transactions, Volume 31, Issue 3 pp 81-90
• Boss,J.F.T, Stassen, H.G., Lunterern, A.V., 1995, Aiding The Operator in the Manual Control of A Space Manipulator, Control Eng. Practice, Pergamon, Vol.3 No.2 pp:223-230
• Hoc, J.M., 2000, From Human-Machine Interaction to Human-Machine Cooperation, Ergonomics ,ISSN: 0014-0139 ,Volume 43, Issue 7 ,pp 833-843, July
• Murray, S A; Caldwell, B S., 1996, Human Performance and Control of Multiple Systems, Human Factors ,ISSN: 0018-7208 ,Volume 38, Issue 2 ,Pages 323-329, June
• Takashima, M., 1980, Yoshizawa, S; Nagumo, J., Human Operator Dynamics in Manual Tracking Systems With Auditory Input, Biological Cybernetics ,ISSN: 0340-1200, Volume 37, Issue 3 .pp 159-166
• Sutton, R., 1990, Modelling Human Operators in Control System Design, Royal Naval Engineering College, Plymouth UK
• McCulloch, W.S.,Pitts,W.A., 1943, A Logical Calculus of the Ideas Immanent in Nervous Activity, Bulletin of Mathematics and Biophysics, 5, pp.115-133
• Hebb, D. O., 1949, The Organization of Behaviour, New York, Willey, introduction and Chapter 4 The First Stage of Perception , growth of the assembly, pp.60-78
• Caianiello, E.R., 1961, Outline Of A Theory Of Thought-Processes and Thinking machines, Journal of Theoretical Biology, 2, pp. 204-235
• Jang, J.R., and Sun, C.T., 1995, Neuro-Fuzzy Modeling and Control, Proc. of IEEE, 83(3), 378-405
• Jang, J.R., 1993, ANFIS:Adaptive-Network-Based Fuzzy Inference System, IEEE Trans.Syst.,Man, Cybern., 23(3), 665-684
• Jang, J.R., Sun, C.T., Mizutani, E., Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence, Prentice Hall, USA
• Patrick,J.,Duncan K.D., 1988, Training, Human Decision Making And Control, University of Wales
• Zapato, G.O.A., Galvao, R.K.H.,Yoneyema,T., 1999, Extracting Fuzzy Control Rules from Experimental Human operator Veri, IEE Trans. on Systems, Man, and Cybernetics Part B: Cybernetics, Vol.29, No:3,pp.398-406, June
• Şimşir, U., 2007, Dar Su Yolarında El Kumandası ile Seyir Yapan Gemilerin Konmunun Yapay Sinir Ağları Kullanılarak Öngörülmesi, Doktora Tezi, İTÜ, Şubat
• Ertugrul, Ş., 2008, Modeling Human Operator Actions Using Adaptive Neuro-Fuzzy Inferencing System Based on a Man-Machine Interaction Computer Experiment, Engineering Applications of Artificial Intelligence, vol.21, pp.259-268