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İnsan-Makina Sistemleri ve Manuel Kontrol Modeli

Year 2009, Volume: 5 Issue: 3, 91 - 103, 25.03.2016

Abstract

References

  • 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

İNSAN-MAKİNA SİSTEMLERİ VE MANUEL KONTROL MODELİ

Year 2009, Volume: 5 Issue: 3, 91 - 103, 25.03.2016

Abstract

Klasik ve akıllı kontrol metotlarındaki bütün gelişmelere rağmen, birçok
uygulamanın karmaşık ve belirsiz olması nedeni ile hala insan
operatörlerin yerine otomatik kontrol sistemli makinalar
kullanılamamaktadır. Genellikle insan operatör görsel geri besleme
bilgisinden faydalanarak makina ile etkileşim halindedir. Bu görsel
bilgiye dayanarak operatör yapacağı eylemin tipine ve miktarına karar
verir ve böylece kapalı çevrimi oluşturur. İnsan-Makine Sistemlerinde
insan operatör, adaptif, optimal, karar veren kontrolör olarak görev
yapmaktadır. Manuel kontrol teorisine teknolojik tarafının yanı sıra,
kontrol mühendisliği, fizyoloji, deneysel psikoloji konularını içeren
disiplinler arası aktiviteleri insan operatörün davranışlarının kontrol
teorisinin tanımlanmasında ve insan psiko-fizyolojik yorumlarının kontrol
mühendisliğinde sistem çıkışlarının tespitinde rehber olmuştur .

References

  • 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
There are 38 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Uğur Şimşir This is me

Publication Date March 25, 2016
Published in Issue Year 2009 Volume: 5 Issue: 3

Cite

APA Şimşir, U. . (2016). İNSAN-MAKİNA SİSTEMLERİ VE MANUEL KONTROL MODELİ. Journal of Naval Sciences and Engineering, 5(3), 91-103.