Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
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Conference Object Citation - WoS: 2Citation - Scopus: 4A 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.Article Citation - WoS: 1Citation - Scopus: 3Euclidean Position Estimation of Static Features Using a Moving Uncalibrated Camera(Institute of Electrical and Electronics Engineers Inc., 2012) Nath, Nitendra; Dawson, Darren M.; Tatlıcıoğlu, EnverIn this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on amoving platform is developed to asymptotically recover the 3-D Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3-D Euclidean coordinates relative to theworld frame is considered to be available a priori. To account for the unknown camera calibration parameters and to estimate the unknown 3-D Euclidean coordinates, an adaptive least squares estimation strategy is employed based on prediction error formulations and a Lyapunovtype stability analysis. The developed estimator is shown to recover the 3-D Euclidean position of the unknown object features despite the lack of knowledge of the camera calibration parameters. Numerical simulation results along with experimental results are presented to illustrate the effectiveness of the proposed algorithm. © 2011 IEEE.Conference Object Citation - Scopus: 1Range Identification for Nonlinear Parameterizable Paracatadioptric Systems(Institute of Electrical and Electronics Engineers Inc., 2009) Nath, Nitendra; Dawson, Darren M.; Tatlıcıoğlu, EnverIn this paper, a new range identification technique for a calibrated paracatadioptric system mounted on a moving platform is developed to recover the range information and the three-dimensional (3D) Euclidean coordinates of a static object feature. The position of the moving platform is assumed to be measurable. To identify the unknown range, first a function of the projected pixel coordinates is related to the unknown 3D Euclidean coordinates of an object feature. This function is nonlinearly parameterized (i.e., the unknown parameters appear nonlinearly in the parameterized model). An adaptive estimator based on a min-max algorithm is then designed to estimate the unknown 3D Euclidean coordinates of an object feature relative to a fixed reference frame which facilitates the identification of range. A Lyapunov-type stability analysis is used to show that the developed estimator provides an estimation of the unknown parameters within a desired precision.Conference Object Citation - Scopus: 1Euclidean Position Estimation of Static Features Using a Moving Uncalibrated Camera(Institute of Electrical and Electronics Engineers Inc., 2009) Nath, Nitendra; Dawson, Darren M.; Tatlıcıoğlu, EnverIn this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on a moving platform is developed to asymptotically recover the three-dimensional (3D) Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3D Euclidean coordinates relative to the world frame is considered to be available a priori. To account for the unknown camera calibration parameters and to estimate the unknown 3D Euclidean coordinates, an adaptive least squares estimation strategy is employed based on prediction error formulations and a Lyapunov-type stability analysis. The developed estimator is proven to recover the 3D Euclidean position of the unknown object features despite the lack of knowledge of the camera calibration parameters.Conference Object Citation - WoS: 5Citation - Scopus: 8Teleoperation With Kinematically Redundant Robot Manipulators With Sub-Task Objectives(Institute of Electrical and Electronics Engineers Inc., 2008) Nath, Nitendra; Tatlıcıoğlu, Enver; Dawson, Darren M.In this paper, control of nonlinear teleoperator systems where both the master and slave systems are kinematically redundant robot manipulators is addressed. The controller is developed under the assumption that the user and environmental input forces are unmeasurable. Lyapunovbased stability analysis is used to prove that the proposed controller yields asymptotic tracking results and ensures the coordination of the master and slave systems while satisfying a sub-task objective.