Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Elektrik Elektronik Mühendisliği Bölümü

Permanent URI for this communityhttps://hdl.handle.net/20.500.12416/410

Browse

Browsing Elektrik Elektronik Mühendisliği Bölümü by Author "279762"

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Thumbnail Image
    Article
    Citation Count: Akagündüz, Erdem; Çifdalöz, Oğuzhan (2021). "Dynamical system parameter identification using deep recurrent cell networks: Which gated recurrent unit and when?", Neural Computing and Applications, Vol. 33, No. 23, pp. 16745-16757.
    Dynamical system parameter identification using deep recurrent cell networks: Which gated recurrent unit and when?
    (2021) Akagündüz, Erdem; Çifdalöz, Oğuzhan; 279762
    In this paper, we investigate the parameter identification problem in dynamical systems through a deep learning approach. Focusing mainly on second-order, linear time-invariant dynamical systems, the topic of damping factor identification is studied. By utilizing a six-layer deep neural network with different recurrent cells, namely GRUs, LSTMs or BiLSTMs; and by feeding input/output sequence pairs captured from a dynamical system simulator, we search for an effective deep recurrent architecture in order to resolve the damping factor identification problem. Our study’s results show that, although previously not utilized for this task in the literature, bidirectional gated recurrent cells (BiLSTMs) provide better parameter identification results when compared to unidirectional gated recurrent memory cells such as GRUs and LSTM. Thus, indicating that an input/output sequence pair of finite length, collected from a dynamical system and when observed anachronistically, may carry information in both time directions to predict a dynamical systems parameter.
  • Thumbnail Image
    Article
    Citation Count: Çifdalöz, Oğuzhan (2021). "Line-of-sight rate construction for a roll-pitch gimbal via a virtual pitch-yaw gimbal", Turkish Journal of Electrical Engineering and Computer Science, Vol. 25, No. 9, pp. 2502-2519.
    Line-of-sight rate construction for a roll-pitch gimbal via a virtual pitch-yaw gimbal
    (2021) Çifdalöz, Oğuzhan; 279762
    In this paper, a method to construct the line of sight rate of a target with a roll-pitch gimbal and tracker is described. Construction of line-of-sight rate is performed via utilizing a virtual pitch-yaw gimbal. Kinematics of both the roll-pitch and pitch-yaw gimbals are described. A dynamical model for the roll-pitch gimbal is developed, and a nested control structure is designed to control the angular rates and line of sight angles. A kinematic model of the tracker is developed and a tracker controller is designed to keep the target in the field of view. Conversion equations between roll-pitch and pitch-yaw gimbal configurations are provided. Finally, constructed line of sight rates are compared to true line of sight rates via simulations. Obtained results indicate that the constructed line of sight rates pertaining to a target satisfactorily converge to the actual line of sight rates. © 2021 Turkiye Klinikleri. All rights reserved.
  • Thumbnail Image
    Conference Object
    Citation Count: Çifdalöz, Oğuzhan (2021). "Management of Open-Access Renewable Resources with Depensation Dynamics: Control Systems Perspective", 2021 8th International Conference on Electrical and Electronics Engineering, ICEEE 2021, Antalya, 9 April 2021 through 11 April 2021.
    Management of Open-Access Renewable Resources with Depensation Dynamics: Control Systems Perspective
    (2021) Çifdalöz, Oğuzhan; 279762
    Renewable resources are being over exploited at an increasing rate. Institutions/governments are compelled to devise effective policies and strategies to sustainably manage renewable resources under social, ecological and environmental pressures that stem from increasing demand, model uncertainties, disturbances, and measurement errors. Open-access policies to harvest renewable resources are still widely used around the world. They are mildly regulated by implementing landing quotas, defining harvesting seasons, and/or constraining the technology used for harvesting. In many parts of the world, including the regions that are highly developed, open-access fisheries are failing. In this paper, management of an open-access renewable resource (fishery) with depensation dynamics is formulated as a control systems problem and a strategy to sustainably manage the renewable resource is proposed. First, dynamics of an unregulated open-access fishery is described and its ulnerabilities are stated. Then, an easy-to-implement regulation strategy based on classical control systems ideas is proposed and its robustness characteristics are provided. The management policy (control law) is implemented via manipulating economic variables, i.e. by adjusting the (opportunity) cost of harvesting. An agent-based model is used to model the resource exploiters (i.e. fishermen). It is shown that a classical control law can be used to effectively manage an open access fishery subject to sampling effects. © 2021 IEEE.