Robust PID Control of Multicompartment Lung Mechanics Model Using Runge-Kutta Neural Disturbance Observer

Autor: Erdem Dilmen

Publikováno v: IFAC-PapersOnLine. 53:8814-8819

This paper proposes Runge-Kutta neural disturbance observer to enhance the robustness of PID control of a system with general multicompartment lung mechanics. It is designed to observe the states of a particular type continous time, single-input sing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b3258d5ed8d9115df002770e3f9d82
https://doi.org/10.1016/j.ifacol.2020.12.1390

An enhanced online LS-SVM approach for classification problems

Autor: Selami Beyhan, Erdem Dilmen

In this paper, two novel approaches are proposed to improve the performance of online least squares support vector machine for classification problem. First, the parameters of support vector classifier model including kernel width parameter are simul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffd9bc78a8895c53bbb477a4ab7352a
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/10725

Stabilization of HIV infection using deep recurrent SVM based generalized predictive control

Autor: Selami Beyhan, Erdem Dilmen

The function approximation capability of a regressor model in generalized predictive control (GPC) directly affects the tracking performance of unknown nonlinear systems. In this paper, a novel deep recurrent support vector regressor (DRSVR) is propo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a39ae85b2e8eae78b9dcf8f91663d4f
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/10624

Contributors

Autor: Taiwo Adetiloye, Sondipon Adhikari, Ibrahim Aljarah, Senjian An, Serdar Aslan, Anjali Awasthi, Ashish Bakshi, Mohammed Bennamoun, Selami Beyhan, Vimal Bhatia, Gautam Bhattacharya, Alirezah Bosaghzadeh, Farid Boussaid, Dieu Tien Bui, Kien-Trinh Thi Bui, Quang-Thanh Bui, Anusheema Chakraborty, Tanmoy Chatterjee, Rajib Chowdhury, Alan Crosky, Sarat Kumar Das, Pradipta K. Dash, Rajashree Dash, Babette Dellen, Serge Demidenko, Vahdettin Demir, Murat Diker, Erdem Dilmen, Chinh Van Doan, Fadi Dornaika, Nikoo Fakhari, Hossam Faris, Robert B. Fisher, Amir H. Gandomi, Raoof Gholami, Kuntal Ghosh, Nhat-Duc Hoang, Renae Hovey, Farzad Husain, Ioanna Ilia, Peng Jiang, Pawan K. Joshi, Taskin Kavzoglu, Gary Kendrick, Ozgur Kisi, Ye Chow Kuang, Sajad Madadi, Mojtaba Maghrebi, Ammar Mahmood, Manish Mandloi, Mohamed Arezki Mellal, Youssef El Merabet, Subhadeep Metya, Seyedali Mirjalili, Behnam Mohammadi-Ivatloo, Ranajeet Mohanty, Abdelmalik Moujahid, Aparajita Mukherjee, V. Mukherjee, Tanmoy Mukhopadhyay, J. Mukund Nilakantan, Morteza Nazari-Heris, Peter Nielsen, Stavros Ntalampiras, Melanie Po-Leen Ooi, Ashalata Panigrahi, Manas R. Patra, S.G. Ponnambalam, Dharmbir Prasad, Yassine Ruichek, Kamna Sachdeva, Mohamed G. Sahab, Houssam Salmane, Serkan Saydam, Jalal Shiri, Ferdous Sohel, Hong Kuan Sok, Shakti Suman, Vassili V. Toropov, Carme Torras, Paraskevas Tsangaratos, Edward J. Williams, Selim Yilmaz, Milad Zamani-Gargari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ce8403040fa779de02a61a064148279
https://doi.org/10.1016/b978-0-12-811318-9.00039-9

Gradient-based Takagi-Sugeno fuzzy local observer

Autor: Erdem Dilmen, Selami Beyhan

Publikováno v: FUZZ-IEEE

In this paper, a recently introduced nonlinear gradient-based observer [1] has been adopted for Takagi-Sugeno (TS) fuzzy systems. The designed observer is especially aimed to estimate the unmeasurable states of the TS fuzzy systems where the LMI solu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b8849087e91bf9e13ec37ece554cfb
https://doi.org/10.1109/fuzz-ieee.2015.7337890