Mohamed Harly, Ida N. Sutantra, and Mauridhi H. Purnomo
[1] I.N. Sutantra and M. Harly, Design of safety and comfortCity Car with ESP pump less, RUT Research report, ITS,Indonesia, 2004. [2] M. Harly, New method of neuron design based on discreteZ-function to adapt the change of integrated vehicle stabilitycontrol order, IJCIA, 8(3), 2010, 253–285. [3] Bosch R&D, Electronics Stability Program, Bosch TrainingMaterial, Germany, 2005. [4] I.N. Sutantra, Design of four wheel steering multi function,Hibah Bersaing Report VII, DikTi, ITS, Indonesia, 1999. [5] Auto-Technology Fisita, Global chassis control – the networkedchassis, Fisita Magazine, UK, 2005. [6] Y. Watanabe, The application of neural network learningcontrol to design of low energy active suspension system, AVEC98 Proc., Japan, 1998. [7] K. Kitajima, H∞ control for integrated side slip, roll and yawcontrol for ground vehicle, Advance Vehicle Control Journal,Michigan, 2000. [8] ShiniChiro, Integrated control of four wheel steering and wheeltorque using nonlinear predictive controller, FISITA Journal,AVEC’98 – (1998.9-9836464), Nihon, 1998, 114–115. [9] M. Lakehal Ayat, On global chassis control combined braking,cornering and yaw rate control, Advance Vehicle ControlProceeding, Michigan, USA, 2000. [10] M. Harly and H.P. Mauridhi, Integrated stability control forsmart vehicle using hybrid multi dimension fuzzy C-mean clus-tering –Adaptive back propagation scheme, Proc. IASTED In-ternational Conference in Artificial Intelligent and Application11–13 May 2008, 26, Austria, 2006, 5–13. [11] S.-K. Oh, Genetically optimized hybrid fuzzy neural networkbased on linear fuzzy inference rules, International Journal ofControl, Automation and System, 3(2) 2005, 183–194. [12] H.C. Cho and M.S. Fadali, Neural network active control ofstructures with earthquake excitation, International Journalof Control, Automation and Systems, 3(2) 2005, 202–210. [13] M. Harly, H.P. Mauridhi, and I.N. Sutantra, Traction andengine speed control use E-Gas and CVT actuator based neuralnetwork, Mechanical Engineering Journal, 7(3), 2007, 3–12. [14] M. Harly, H.P. Mauridhi, and I.N. Sutantra, Wheel spin controlthrough by pass trottle for SI engine based on fuzzy logic,IES2005 Proceeding, EEPIS-ITS, Indonesia, 2005. [15] H.B. Pacejka, Tire and vehicle dynamics (Netherlands: DelftUniversity, 2005). [16] R.L. Wood, Modeling and simulation of dynamic systems (NJ:Prentice Hall, Upper Saddle, 1997). [17] J. Marej and Y. Suzuki, Sensors for automotive technology(Germany: Wiley-VCH GmbH & Co. KGaA, 2005). [18] R. Jurgen, Automotive electronics handbook (New York, NY:McGraw Hill, Inc.,1994). [19] T.G. Barbounis, Locally recurrent neural network for long termwind speed and power prediction, Neural Network Journal2005. [20] M. Harly, H.P. Mauridhi, and I.N. Sutantra, Control of contin-uous transmission ratio(CVT) for vehicle based on model refer-ence neural network control, IES2006 Proceeding, EEPS-ITS,Indonesia, 2006. [21] V. Kecman, Learning and sort computing (Cambridge, MA,USA: MIT press, 2005). [22] H.P. Mauridhi, Supervised neural network and applications(ITS Indonesia: Graha Ilmu, 2006). [23] J.S.R. Yang, Neuro-fuzzy and soft computing (Englewood Clith,NJ: Prentice Hill, 1997). [24] S.-S. Kim and S. Jung, Hardware implementation of neuralnetwork controller with an MCU and an FPGA for nonlinearsystem, International Journal of Control Automation andSystems, 4(5), 2006, 567–574. [25] P. Agus Sigit and M. Harly, Design of smart chassis, HibahPasca Report, Jurusan Teknik Mesin, FTI-ITS, Indonesia,2005. [26] I.N. Sutantra and M. Harly, Implementation of vehicle vibra-tion control to improve stability and comfort, ITS VibrationConference, TekFisika – ITS, Indonesia, 2005.
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