All Outputs (8)

A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle. (2024)
Journal Article
BHOWMICK, P., KURAWA, S., KANNAN, S. and LANZON, A. 2024. A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle. Automatica [online], 164, article number 111621. Available from: https://doi.org/10.1016/j.automatica.2024.111621

This paper proposes a new controller design methodology for stable and minimum-phase Negative Imaginary (NI) systems relying on the classical Internal Model Control (IMC) principle. The closed-loop stability of the proposed scheme depends only on th... Read More about A dynamic controller synthesis methodology for negative imaginary systems using the internal model control principle..

Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning. (2024)
Journal Article
HAQUE, R., AL SAKIB, A., HOSSAIN, M.F., ISLAM, F., AZIZ, F.I., AHMED, M.R., KANNAN, S., ROHAN, A. and HASAN, M.J. 2024. Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning. BioMedInformatics [online], 4(2), pages 966-991. Available from: https://doi.org/10.3390/biomedinformatics4020054

Disease recognition has been revolutionized by autonomous systems in the rapidly developing field of medical technology. A crucial aspect of diagnosis involves the visual assessment and enumeration of white blood cells in microscopic peripheral blood... Read More about Advancing early leukemia diagnostics: a comprehensive study incorporating image processing and transfer learning..

Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. (2023)
Journal Article
AHMMED, S., PODDER, P., MONDAL, M.R.H., RAHMAN, S.M.A., KANNAN, S., HASAN, M.J., ROHAN, A. and PROSVIRIN, A.E. 2023. Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis. Biomedinformatics [online], 3(4), pages 1124-1144. Available from: https://doi.org/10.3390/biomedinformatics3040068

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,... Read More about Enhancing brain tumor classification with transfer learning across multiple classes: an in-depth analysis..

A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. (2023)
Journal Article
BHADRA, S., PANDA, A., BHOWMICK, P. and KANNAN, S. 2023. A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter. Journal of control and decision [online], Latest Articles. Available from: https://doi.org/10.1080/23307706.2023.2202183

This paper proposes a model-based reference tracking scheme for stable, MIMO, nonlinear processes. A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via simultaneous estimation of the... Read More about A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter..

Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control. (2018)
Journal Article
DENTLER, J., ROSALIE, M., DANOY, G., BOUVRY, P., KANNAN, S., OLIVARES-MENDEZ, M.A. and VOOS, H. 2019. Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control. Journal of intelligent and robotic systems [online], 93(1-2), pages 227-243. Available from: https://doi.org/10.1007/s10846-018-0822-8

The recent development of compact and economic small Unmanned Aerial Vehicles (UAVs) permits the development of new UAV swarm applications. In order to enhance the area coverage of such UAV swarms, a novel mobility model has been presented in previou... Read More about Collision avoidance effects on the mobility of a UAV swarm using chaotic ant colony with model predictive control..

Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots. (2018)
Journal Article
DENTLER, J., KANNAN, S., BEZZAOUCHA, S., OLIVARES-MENDEZ, M.A. and VOOS, H. 2019. Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots. Autonomous robots [online], 43(1), pages 153-178. Available from: https://doi.org/10.1007/s10514-018-9711-z

The global localization of multiple mobile robots can be achieved cost efficiently by localizing one robot globally and the others in relation to it using local sensor data. However, the drawback of this cooperative localization is the requirement of... Read More about Model predictive cooperative localization control of multiple UAVs using potential function sensor constraints: a workflow to create sensor constraint based potential functions for the control of cooperative localization scenarios with mobile robots..

Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: a comparative study. (2017)
Journal Article
QUINTANAR-GUZMÁN, S., KANNAN, S., AGUILERA-GONZÁLEZ, A., OLIVARES-MENDEZ, M.A. and VOOS, H. 2019. Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: a comparative study. Journal of intelligent material systems and structures [online], 30(9), pages 1368-1384. Available from: https://doi.org/10.1177/1045389x17721050

This article presents the design and control of a two-link lightweight robotic arm using shape memory alloy wires as actuators. Both a single-wire actuated system and an antagonistic configuration system are tested in open and closed loops. The mathe... Read More about Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: a comparative study..

Towards an autonomous vision-based unmanned aerial system against wildlife poachers. (2015)
Journal Article
OLIVARES-MENDEZ, M.A., FU, C., LUDIVIG, P., BISSYANDÉ, T.F., KANNAN, S., ZURAD, M., ANNAIYAN, A., VOOS, H. and CAMPOY, P. 2015. Towards an autonomous vision-based unmanned aerial system against wildlife poachers. Sensors [online], 15(12), pages 31362-31391. Available from: https://doi.org/10.3390/s151229861

Poaching is an illegal activity that remains out of control in many countries. Based on the 2014 report of the United Nations and Interpol, the illegal trade of global wildlife and natural resources amounts to nearly $ 213 billion every year, which i... Read More about Towards an autonomous vision-based unmanned aerial system against wildlife poachers..