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Fuzzy Logic Controllers Improves Human Daily Life. The State-Of-The Art (Best Accuracy & More Flexibility)

by Rafik Lasri, Ignacio Rojas, HÈctor Pomares
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 9
Year of Publication: 2011
Authors: Rafik Lasri, Ignacio Rojas, HÈctor Pomares
10.5120/2982-3983

Rafik Lasri, Ignacio Rojas, HÈctor Pomares . Fuzzy Logic Controllers Improves Human Daily Life. The State-Of-The Art (Best Accuracy & More Flexibility). International Journal of Computer Applications. 23, 9 ( June 2011), 1-9. DOI=10.5120/2982-3983

@article{ 10.5120/2982-3983,
author = { Rafik Lasri, Ignacio Rojas, HÈctor Pomares },
title = { Fuzzy Logic Controllers Improves Human Daily Life. The State-Of-The Art (Best Accuracy & More Flexibility) },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 9 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number9/2982-3983/ },
doi = { 10.5120/2982-3983 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:39.758846+05:30
%A Rafik Lasri
%A Ignacio Rojas
%A HÈctor Pomares
%T Fuzzy Logic Controllers Improves Human Daily Life. The State-Of-The Art (Best Accuracy & More Flexibility)
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 9
%P 1-9
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, science in all their fields tries to touch the limits of performance, the control policy is one of the most scientific fields who require very high level of accuracy and stability, therefore, scientists are always trying to bring new methodologies to improve the controllers criterias. The survey presented in this papers covers and explains the great contribution that brings the use of FLCs in very large/several fields of human daily life, such as : medicine, industrial process, chemical process, aircraft ext.

References
  1. P.J. Antsaklis, "Intelligent Control," Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, Inc. Vol. 10, pp. 493-503, 1999.
  2. Steven D. Kaehler “An Introduction to Fuzzy Logic “ .The newsletter ofthe Seattle Robotics society, Part num:1.
  3. Abbod MF, Linkens DA, 1998. “Anaesthesia monitoring and control using fuzzy logic fusion”. Journal of Biomedical Engineering - Applications, Basis & Communications, Special Issues on “Control Methods in Anaesthesia”, Taiwan, August 1998.
  4. M. Logesh Kumar , R.Harikumar, A. Keerthi Vasan, V.K.Sudhaman “Fuzzy Controller for Automatic Drug Infusion in Cardiac Patients “ Proceedings of the International MultiConference of Engineers and Computer Scientists Hong Kong, Vol I IMECS 2009, 2009.
  5. Linkens DA and Hasnain SB, 1991. “Self-organising fuzzy logic control and its application to muscle relaxation anaesthesia”. IEE Proc PtD, Control Theory and Applications, 138, 274-284.
  6. Sheng-Jean Huang, Jiann-Shing Shieh , Mu Fu, Ming-Chien Kao “ Fuzzy logic control for intracranial pressure via continuous propofol sedation in a neurosurgical intensive care unit ” Medical Engineering & Physics 28 pp. 639–647, 2006.
  7. Jess S. Boronico, William Paterson “ Integration Of Fuzzy Logic Control Into Continuous Passive Motion achiness ” The Journal of Applied Business Research Volume 18, Number 4.
  8. Y.Shi, Ch.Zhang, A.Liang, H.Yuan2 “ FUZZY CONTROL OF THE SPRAYING MEDICINE CONTROL SYSTEM ”. IFIP International Federation for Information Processing. Vol. 259/2008, pp. 1087-1094,2008.
  9. S.Basnet, N.Venkatraman ” A Novel Fuzzy-Logic Controller for an Artificial Heart ”. 18th IEEE International Conference on Control Applications Part of 2009 IEEE Multi-conference on Systems and Control Saint Petersburg, Russia, July 8-10, 2009.
  10. G.W. Neat, “ Expert Adaptive Control: Method and Medical Application ” Ph.D. Thesis, RPI, Troy, NY, 1990.
  11. K.Y. Kwok, A.S. Clanachan, B. Finegan, S.L.S Hah. “hng Range Predictive Control of Arterial Blood Pressure,” Proc. 29th CDC, Honolulu, HI, pp. 2800-2805, 1989.
  12. Kelly DF, Goodale DB, Williams J, Herr DL, Chappell ET, Rosner MJ, “ Propofol in the treatment of moderate and severe head injury: a randomized, prospective double-blinded pilot trial. Journal of Neurosurg pp. 1042–52, 1996.
  13. Mason DG, Edward ND, Linkens DA, Reilly CS. “ Performance assessment of a fuzzy controller for atracurium-induced neuromuscular block ” . British Journal of Anaesthesia, pp. 396–400, 1996.
  14. Shieh JS, Fan SZ, Chang LW, Liu CC.” Hierarchical rule-based monitoring and fuzzy logic control for neuromuscular block “. Journal of Clinical Monitoring and Computing, Vol. 16. Pp. 583-592.2000.
  15. Procyk TJ, Mamdani EH. ” A linguistic self-organizing process controller ”. Automatica. Vol. 15. Issue. Pp. 15-30. 1979.
  16. Linkens DA, Hasnain SB. “ Self-organizing fuzzy logic control and application to muscle relaxant anaesthesia ”.Control Theory and Applications.IEEE Proceedings. Vol. 138 Issue: 3 pp. 247-284, 2002.
  17. Mason DG, Ross JJ, Edwards ND, Linkens DA, Reilly CS. “ Selflearning fuzzy control of atracurium-induced neuromuscular. . block during surgery “. Medical and Biological Engineering and Computing, Vol. 35. Issue: 5. pp. 498-503, 1997.
  18. Shieh JS, Linkens DA, Peacock JE. “ Hierarchical rule-based and selforganizing fuzzy logic control of anaesthesia ”. Systems. Man. And Cybernetics, Part C: Applications and Reviews. IEEE Transactions. Vol. 29. Issue: 1. Pp. 98- 109, 1999.
  19. Shieh JS, Linkens DA, Asbury AJ.” A hierarchical system of online advisory for monitoring and controlling the depth of anaesthesia using self-organizing fuzzy logic ”. Engineering Applications of Artificial Inteligence. Vol. 18. Issue: 3. P. 307-316.2006.
  20. Ioan Ursu, Felicia Ursu. “ An intelligent abs control based on fuzzy logic. aircraft application “, Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics – ICTAMI 2003, Alba Iulia.
  21. E.Dobrescu, M. Balazinski. “ Fuzzy logic aircraft environment controller. Fuzzy logic aircraft environment controller ”. International Series in Intelligent Technologies. Vol. 3, pp. 85-124. 2007.
  22. S.Kurnaz, O.Cetin, O.Kaynak. ” Fuzzy Logic Based Approach to Design of Flight Control and Navigation Tasks for Autonomous Unmanned Aerial Vehicles “ . Journal of Intelligent and Robotic Systems. Vol. 54 , Issue 1-3 pp. 229 – 244, 2009.
  23. Ghaffari, A. Shamekhi, A.Saki, E.Kamrani. “ Adaptive Fuzzy Control for Air-Fuel Ratio of Automobile Spark Ignition Engine ”. World Academy of Science, Engineering and Technology 48 2008.
  24. J.Y.Lee, M.S.Kim, J.J.Lee. “ Multi-Objective Evolutionary Design of Fuzzy Logic Controllers for Car Parking Problem ”. AMC’06-Istanbul, Turkey IEEE conference 0-7803-9511-5/06/$20.00 2006.
  25. M. Mamat, N. M. Ghani.” Fuzzy Logic Controller on Automated Car Braking System ”. IEEE International Conference on Control and Automation Christchurch, New Zealand, December 9-11, 2009.
  26. Xi.Wang , K.W.E.Cheng , Xi.Liao , C. Cheung, L.Dong .” Fuzzy Logic Controller for Electric Vehicle Braking Strategy “. Vol.1 pp. 645-5, 2007.
  27. Niels J. Schouten, Mutasim A. Salman, Naim A. Kheir. Fuzzy Logic Control for Parallel Hybrid Vehicles. IEEE transactions on control systems technology, VOL. 10, NO. 3, 2002.
  28. Heywood, J. B. Internal Combustion Engine Fundumentals. New York: McGraw-Hill.
  29. Choi. S.B., Hendrick, J.K., 1998. “ An observer-based controller design method for improving air/fuel characteristics of park ignition engines “.Control Systems Technology, IEEE Transactions. Vol. 6 Issue. 3 pp. 325-334, 1998.
  30. S.W. Wang, D.L. Yu , J.B. Gomm, G.F. Page, S.S. Douglas “Adaptive neural network model based predictive control for air-fuel ratio of SI engine” .Engineering Applications of Artificial Intelligence. Vol. 19. Issue. 2, pp. 189-200. 2006.
  31. M.Sugeno and K.Murakami.”An experimental study of fuzzy perking control using a model car”, Industrial Applications of Fuzzy Control. pp.125-138, 1985.
  32. Caro Lucas, Rasoul M. Milasi, and Babak N. Araabi.” Intelligent Modeling and Control of Waching Machine Using Locally Linear Neuro-Fuzzy (LLNF) Modelling and Modified Brain Emotional Learning Based Intelligent Controller (BELBIC) “ . Asian Journal of Control, Vol. 8 Issu 4, pp. 393-400, 2006.
  33. Rezoug, S. Boudoua, F. Hamerlain.” Fuzzy Logic Control for Manipulator Robot actuated by Pneumatic Artificial Muscles ”. Paper presented at the Third International Conference on Electrical Engineering-ICEE'09. pp. 1-6, 2009.
  34. M. D. Hurley, W.L. Xu and G. Bright .“ Implementing Fuzzy Logic for Machine Intelligence: A Case Study “.International Journal of Engineering Education, Vol. 21 Issue 1, pp.178-186, 2005.
  35. L.Astudillo, O.Castillo, P. Melin, A.Alanis, J.Soria, Luis T. Aguilar. “ Intelligent Control of an Autonomous Mobile Robot using Type-2 Fuzzy Logic ”. Studies in Fuzziness and Soft Computing. Vol. 223-2008, pp. 203-212, 2007.
  36. M.Wang, James N.K. Liu.” Autonomous Robot Navigation Using Fuzzy Logic Controller ”. Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004.
  37. S. Vijayan, S. Paramasivam, R. Arumugam, M. Vasudevan, and S. Palaniswami. “ An Intelligent Self-Tuning PI Type Fuzzy Logic Controller for a Switched Reluctance Motor Drive ”. Iranian Journal of Electrical and Computer Engineering, Vol. 6, Issue. 2, 2007.
  38. R.Kumar, R. A. Gupta, S.V. Bhangale.” Indirect Vector Controlled Induction Motor Drive With Fuzzy Logic Based Intelligent Controller ”. IETECH Journal of Electrical Analysis, Vol. 2, Issue 4, pp. 211-216, 2008.
  39. N. Hosseinzadeh D. Seyoum P. Wolfs. “ Fuzzy Logic Control of an Induction Generator as an Electrical Brake “.International Journal of Innovations in Energy Systems and Power. Vol. 2, Issue. 1, 2007.
  40. S.Tunyasrirut, T.Suksri, S.Srilad.” Fuzzy Logic Control for a Speed Control of Induction Motor using Space Vector Pulse Width Modulation ”. World Academy of Science, Engineering and Technology 25 2007.
  41. V. Chitra, R. S. Prabhakar.” Induction Motor Speed Control using Fuzzy Logic Controller “. World Academy of Science, Engineering and Technology 23 2006.
  42. Abd.Gh.Aissaoui,M.Abid, H.Abid, A.Tahour, Abd.ka.Zeblah.” A Fuzzy Logic Controller For Sychronious Machine. “ Journal of Electrical Engeneering, Vol. 58, Issue. 5, pp. 285–290, 2007.
  43. Alexander G. Perry, G. Feng, Yan-Fei Liu, P.C. Sen. A New Analysis and Design Method for Fuzzy Logic Controllers Used in Power Converters. Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE.
  44. T. S. Sivakumaran, S.P. Natarajan, P. Venkatachalam.”Simulation and Real-Time Implementation of Fuzzy Logic Controller for Parallel Loaded Resonant Converter” . IEEE Indicon 2005 Conference, Chennai, India, I I - 1 3 Dec. 2005.
  45. A.G.Keskar Dr. K.L.Asanare. “ Floating Membership Fuzzy Logic Controller For Adaptive Control Of AC Drive ”. Industrial Electronics. 1997. ISIE 97, Proceeding of the IEEE International Symposium Vol. 3, pp. 1216-1221. 1997.
  46. A.Ofoli, A.Rubaai. “ Real-Time Implementation of a Fuzzy Logic Controller for DC-DC Switching Converters ”.Industry Applications Conference 2005. Fortieth IAS Annual Meeting, Conference Record of the 2005. Vol. 2, pp.1292-1299. 2005.
  47. Alexander G. Perry, Guang Feng, Yan-Fei Liu.Paresh C. Sen.” A Design Method for PI-like Fuzzy Logic Controllers for DC–DC Converter “. Industrial Electronics, IEEE Transactions on Vol. 54. Issue. 5, pp. 2688- 2696. 2007.
  48. N.Chanasut, S.Premrudeepreechacharn. “ Maximum Power Control of Grid-Connected Solid Oxide Fuel Cell System Using Adaptive Fuzzy Logic Controller “. Industry Applications Society Annual Meeting. 2008.IAS 08. IEEE, pp. 1-6. 2008.
  49. O.C. Pires, C. Palma, I. Moita, J.C. Costa, M.M. Alves, E.C. Ferreira.” A Fuzzy Logic Based Expert System For Diagnosis and Control of an Integrated Wastewater Treatment ”. 2nd Mercosur Congress on Chemical Engineering 4th Mercosur Congress on Process Systems Engineering.
  50. Philip Babatunde OSOFISAN. Optimization of the Fermentation Process in a Brewery with a Fuzzy Logic Controller. Leonardo Journal of Sciences ISSN 1583-0233 Issue 11, pp. 79-92, 2007.
  51. A.K.Saha,S.P.Chowdhury,S.Chowdhury,Y.H.Song. “ Dynamic Model of PEM Fuel Cell with Fuzzy Logic Controller ”. 42nd International Power Engineering Conference, UCPEC 2007, pp.753-757. 2007.
  52. Y.Zhan, J.Zhu, Y.Guo, A. Rodriguez. ” An Intelligent Controller for PEM Fuel Cell Power System Based on Double Closed-loop Control “. Australasian Universities Power Engineering Conference Aupec05. 2005.
  53. Jiang Jing, and Qing-He Wu.” An Intelligent Sliding-Mode Control Algorithm for Position Tracking Servo System ”. International Journal of Information Technology, Vol.12 Issue.7 2006.
  54. José E. Naranjo,C.González,R.García,” Fuzzy Logic Based Lateral Control for GPS Map Tracking ”. Intelligent Vehicles Symposium. 2004 IEEE, pp. 397-400, 2004.
  55. Jia Lu, Yunxia Hu. ” Application of Fuzzy Logic Controllers for Laser Tracking with Autonomous Robot System ”.WILF 2003, LNAI 2955, pp. 97-102, Springer-Verlag Berlin Heidelberg 2006.
  56. Ms. Girija H Kulkarni, Ms. Poorva G Waingankar. “ Fuzzy Logic Based Traffic Light Controller Second International Conference on Industrial and Information Systems ”, ICIIS 2007, pp. 8-11 August 2007, Sri Lanka.
  57. Yu-Chiun Chiou Lawrence W. Lao.” Adaptive Traffic Signal Control with Iterative GeneticFuzzy Logic Controller (GFLC) “. Proceedings of the 2004 IEEE International Conference on Networking, Sensing & Control.Taipei, Taiwan, March pp. 21-23, 2004.
  58. Zhiqiang Gao, Thomas A. Trautzsch, James G. Dawson. “ A Stable Self-Tuning Fuzzy Logic Control System for Industrial Temperature Regulation “.Industry Applications Conference, 2000. Conference Record of the 2000 IEEE . Vol. 2,pp. 1232-1240, 2000.
  59. Willy K. Wojsznis, D.Thiele, J.Gudaz.” Adaptive Fuzzy Logic Controller “. Proceeding form International Society of Automation, ISBN/ID : TP01ISA1127.
  60. N.Rajarajeswari, K.Thanushkodi. A Bi-Directional DC- DC Converter with Adaptive Fuzzy Logic Controller. ICGST-ACSE Journal, ISSN 1687-4811, Vol. 8, Issue. II, December 2008.
  61. ZHANG Xiao-yu. ” Adaptive sliding mode-like fuzzy logic control for nonlinear systems “. Journal of Communication and Computer, ISSN1548-7709, USA, Vol. 6, No.1 (Serial No.50), Jan 2009 .
  62. Young-Moon Park, Un-Chul Moon, KwangY.Lee. “ A Self-Organizing Fuzzy Logic Controller for Dynamic Systems Using a fuzzy Auto-Regressive Moving Average (FARMA) Model “. IEEE Transaction on Fuzzy Systems, Vol. 3, Issue. 1, February 1995.
  63. Zhiqiang Gao, Thomas A. Trautzsch, James G. Dawson. “ A Stable Self-Tuning Fuzzy Logic Control System for Industrial Temperature Regulation “. Industry Applications, IEEE Transactions on Issue: 2 Vol.38, pp. 414-424, 2002.
  64. Sheroz Khan, Salami Femi Abdulazeez, Lawal Wahab Adetunji, AHM Zahirul Alam, Momoh Jimoh E. Salami, Shihab Ahmed Hameed, Aisha Hasan Abdalla and Mohd Rafiqul Islam. “ Design and Implementation of an Optimal Fuzzy Logic Controller Using Genetic Algorithm “ . Journal of Computer Science. Vol. 4, pp. 799-806, 2008.
  65. José E. Naranjo, J.Vinuesa, C. González, R.García, T. de Pedro. I.Parra. “ Hybrid steering control for intelligent vehicle. Navigation “. ICRA 2007 Workshop: Planning, Perception and Navigation for Intelligent Vehicles, 2007.
  66. Melba Mary P, Marimuthu N.S. “ Design of Intelligent Hybrid Controller For Swing-Up and Stabilization of Rotary Inverted Pendulum ”. ARPN Journal of Engineering and Applied Sciences. Vol. 3, Issue. 4, ISSN. 1819-6608, 2008.
  67. Yi Zuo, Ya. Wang, Lihong Huang, Chunsheng Li.” Intelligent Hybrid Control Strategy for Trajectory Tracking of Robot Manipulators “. Hindawi Publishing Corporation Journal of Control Science & Engineering Vol. 2008, Article ID. 520591, 13 pages, 2008.
  68. S.A. Oke, A.O. Johnson, O.E. Charles-Owaba, F.A. Oyawale, I.O. Popoola. “ A Neuro-Fuzzy Linguistic Approach in Optimizing the Flow Rate of a Plastic Extruder Process “ . International Journal of Science & Technology. Vol. 1, Issue. 2, pp. 115-123, 2006.
  69. P.Isomursu, T.Rauma. “ Self - tuning fuzzy logic controller for temperature control of superheated steam ”. IEEE International Conference on Fuzzy Systems. Vol. 3, pp. 1560-1563, 1994.
  70. Seok-Yong Oh, Dong-Jo Park.“ Self-tuning fuzzy Controller with variable universe of discourse ”. Proceedings of the IEEE International Conference on Systems , Man and Cybernetics. Vol. 3 , pp.2628-2632,1995.
  71. Karl J. Åström, Tore Hägglund. ” Advanced PID Control “. ISBN.1-55617-942-1, pp. 461, ISA,2006
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Controllers Intelligent Control Hybrid Algorithms Advanced Control Process

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