WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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  • Conference Object
    Citation - Scopus: 5
    Adaptive Visual Servo Regulation Control for Camera-In Configuration With a Fixed Camera Extension
    (Institute of Electrical and Electronics Engineers Inc., 2007) Tatlıcıoğlu, Enver; Dawson, Darren M.; Xian, B.
    In this paper, image-based regulation control of a robot manipulator with an uncalibrated vision system is discussed. To compensate for the unknown camera calibration parameters, a novel prediction error formulation is presented. To achieve the control objectives, a Lyapunov-based adaptive control strategy is employed. The control development for the camera-in-hand problem is presented in detail and a fixed-camera problem is included as an extension.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 4
    A New Robust Nonlinear Control Algorithm for the Regulation of Blood Glucose in Diabetic Patients
    (Institute of Electrical and Electronics Engineers Inc., 2012) Özyetkin, Mine M.; Nath, Nitendra; Tatlıcıoğlu, Enver; Dawson, Darren M.
    Diabetes mellitus is a growing health problem worldwide. Especially, the patients with Type 1 diabetes need strict glycemic control because they have deficiency of insulin production. Today, the aim of the researchers is to develop a fully automated closed loop control system (i. e., artificial pancreas which is capable of continuous glucose sensing and regulating) that replicates the function of pancreatic beta cells. This equipment is supposed to be capable of maintaining normal blood glucose level on a desired level (4-6.2 mmol/L) and taking all factors affecting glucose concentration into account without inducing hypoglycemia and hyperglycemia. In this paper, control of the Bergman minimal mathematical model to regulate blood glucose level is discussed. The control problem is complicated by the fact that the model is considered to be uncertain. Furthermore, only the glucose level is assumed to be available for control development and other states such as insulin concentration and plasma insulin concentration are assumed to be unavailable for measurement. A novel robust controller is proposed that guarantees practical tracking of a desired glucose concentration. © 2012 IEEE.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 8
    Adaptive Output Tracking Control of a Surface Vessel
    (Institute of Electrical and Electronics Engineers Inc., 2008) Lee, Dongbin; Tatlıcıoğlu, Enver; Burg, Timothy C.; Dawson, Darren M.
    In this paper, the tracking control of a three degree-of-freedom marine vessel is examined. The novelty of this work is the transformation of the asymmetric inertia matrix into a symmetric, positive definite matrix. The asymmetry arises from the added mass common to practical surface vessels and creates a significant challenge for control design. The control design is further complicated by the parametric uncertainties in the dynamic model of the vessel. Two adaptive control schemes with a projection-based adaptation law are proposed: a full-state feedback controller and an output feedback controller. Both controllers are known to yield a uniformly ultimately bounded tracking result in the presence of parametric uncertainty. Numerical simulation results are shown to demonstrate the validity of the proposed controllers.
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 6
    Set-Point Navigation of a Redundant Robot in Uncertain Environments Using Finite Range Sensors
    (Institute of Electrical and Electronics Engineers Inc., 2008) Kapadia, Apoorva; Tatlıcıoğlu, Enver; Dawson, Darren M.
    In this work, control of redundant robot manipulators in an uncertain environment is considered. The manipulator is equipped with finite range sensors to detect obstacles in its workspace. A navigation functionbased kinematic controller is proposed to ensure the regulation of the end-effector to a desired set-point while the entire manipulator simultaneously avoids the obstacle points detected by the sensors. A joint-space controller is then utilized to ensure asymptotic tracking of the desired jointspace trajectory.