WOS - Web of Science
Permanent URI for this collectionhttps://acikarsiv.thk.edu.tr/handle/123456789/2552
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Publication The US real GNP is trend-stationary after all(Informa UK Limited, 2016-07-13) Tolga Omay; Rangan Gupta; Giovanni BonaccoltoPublication A VARIATIONAL APPROACH OF THE STURM-LIOUVILLE PROBLEM IN FRACTIONAL DIFFERENCE CALCULUS(Dynamic Publishers, 2018-01-26) RAZIYE MERT; LYNN ERBE; THABET ABDELJAWADPublication Solving Constrained Optimal Control Problems Using State-Dependent Factorization and Chebyshev Polynomials(American Institute of Aeronautics and Astronautics (AIAA), 2018-03) Mohammad Mehdi Gomroki; Francesco Topputo; Franco Bernelli-Zazzera; Ozan TekinalpPublication Model Continuity in Discrete Event Simulation(Association for Computing Machinery (ACM), 2015-04-16) Deniz Çetinkaya; Alexander Verbraeck; Mamadou D. SeckMost of the well-known modeling and simulation (M&S) methodologies state the importance of conceptual modeling in simulation studies, and they suggest the use of conceptual models during the simulation model development process. However, only a limited number of methodologies refers to how to move from a conceptual model to an executable simulation model. Besides, existing M&S methodologies do not typically provide a formal method for model transformations between the models in different stages of the development process. Hence, in the current M&S practice, model continuity is usually not fulfilled. In this article, a model-driven development framework for M&S is presented to bridge the gap between different stages of a simulation study and to obtain model continuity. The applicability of the framework is illustrated with a prototype modeling environment and a case study in the discrete event simulation domain.Publication The Relationship between Tertiary Level EFL Teachers’ Self-efficacy and their Willingness to Use Communicative Activities in Speaking(Elsevier BV, 2015-08) Aycan Demir; Ayşegül Yurtsever; Betül ÇimenliPublication How does language model size effects speech recognition accuracy for the Turkish language?(LookUs Bilisim A.S., 2016) Behnam Asefisaray; Erhan Mengüşoğlu; Murat Hacıömeroğlu; Hayri SeverPublication Investigation on the influence of parameter uncertainties in the position tracking of robot manipulators(University North, 2019-03-23) Habib Ghanbarpour Asl; Kerim Youde HanThis paper presents a novel trajectory tracking method for robot arms with uncertainties in parameters. The new controller applies the robust output feedback linearization method and is designed so that it is robust to the variation of parameters. Robustness of the algorithm is evaluated when the parameters of the system are floating over 10 percent up and down. An Unscented Kalman Filter (UKF) is applied for state and parameter estimation purposes. As the considered system has 8 unknown parameters while only 5 of them are independent parameters, UKF is applied only to the augmented system with independent parameters. Three types of simulations are applied depending on sensor groups – first with both position and joint sensors, second with only position sensors and third with only joint sensors. The observation of parameters in these groups is discussed. Simulation results show that when both position sensors and joint sensors are used, all the parameters and states are observable and good tracking performances are obtained. When only position sensors are used, the accuracy of the estimated parameters is reduced, and low tracking performances are revealed. Finally, when only joint sensors are applied, the lengths of robot arms are unobservable, but other parameters related to the dynamic system are observable, and poor tracking performances are given.Publication On initial population generation in feature subset selection(Elsevier BV, 2019-12) Ayça Deniz; Hakan Ezgi KizilozPublication Optimal Control Problem of a Non-integer Order Waterborne Pathogen Model in Case of Environmental Stressors(Frontiers Media SA, 2019-07-05) Tuğba Akman YıldızPublication Minimum-time path planning for robot manipulators using path parameter optimization with external force and frictions(University North, 2019-03-23) Habib Ghanbarpour AslThis paper presents a new minimum-time trajectory planning method which consists of a desired path in the Cartesian space to a manipulator under external forces subject to the input voltage of the actuators. Firstly, the path is parametrized with an unknown parameter called a path parameter. This parameter is considered a function of time and an unknown parameter vector for optimization. Secondly, the optimization problem is converted into a regular parameter optimization problem, subject to the equations of motion and limitations in angular velocity, angular acceleration, angular jerk, input torques of actuators’, input voltage and final time, respectively. In the presented algorithm, the final time of the task is divided into known partitions, and the final time is an additional unknown variable in the optimization problem. The algorithm attempts to minimize the final time by optimizing the path parameter, thus it is parametrized as a polynomial of time with some unknown parameters. The algorithm can have a smooth input voltage in an allowable range; then all motion parameters and the jerk will remain smooth. Finally, the simulation study shows that the presented approach is efficient in the trajectory planning for a manipulator that wants to follow a Cartesian path. In simulations, the constraints are respected, and all motion variables and path parameters remain smooth.