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Browsing M.S. Theses by Author "Kaynak, Okyay,"

Browsing M.S. Theses by Author "Kaynak, Okyay,"

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  • Adaptive fuzzy sliding mode control of a washing machine oscillating system 
    Tamyaman, Can. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    To prevent any mechanical damage, washing machines distribute the load (the laundry)before performing any spins. After some distributive motor movements, there may still besome load that does not lay homogenously on the ...
  • Application of variable structure systems theory for training of intelligent systems 
    Yıldıran, Uğur. (Thesis (M.S.) - Bogazici University. Institue for Graduate Studies in Science and Engineering, 2001., 2001.)
    Soft computing architectures with their extensive flexibility and strong mapping capabilities have been widely used for control of nonlinear systems. In this regard, error backpropogation and its derivatives have been the ...
  • Fusion of soft computing techniques in control applications 
    Koku, A. Buğra. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Sciences and Engineering, 1997., 1997.)
    The main objective of this thesis work is the formation of an experimental garden, suitable for the demonstration of classical and advanced control concepts, by , an integration of the computational ca.pabilities and the ...
  • Grey prediction based control of a non-linear liquid level system using PID type fuzzy controller 
    Kayacan, Erdal. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    This thesis proposes a grey system theory based fuzzy PID controller that has a prediction capability. Although fuzzy control theory and grey system theory have completely different mathematical basics, both deal with ...
  • Identification and control of nonlinear dynamical systems using neural networks 
    Efe, Mehmet Önder. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1996., 1996.)
    Artificial neural networks opened a new horizon in many research areas. This understanding, also, brought a new way of thinking into the concept of control. The ever-increasing technological demands steered the control ...

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