Publikationen von Dr. Chathura Wanigasekara

Buchkapitel (2)

1. D. Benavides-Prado, C. Wanigasekara, A. Swain.
   Generalised Controller Design using Continual Learning.
   Lecture Notes in Computer Science, Springer Verlag, 2021.

   DOI: 10.1007/978-3-030-86340-1_32

2. F. Marattukalam, W. H. Abdulla, A. Swain, C. Wanigasekara, J. James.
   Palm Vein Recognition using SVM and CNN: A Comparative Performance Investigation.
   Transactions on Computational Science and Computational Intelligence, Springer Verlag, 2021.

Zeitschriftenartikel (10)

1. B. Greve, N. Ahmed, M. Knauer, C. Wanigasekara, F. Sill Torres.
   Optimal Control of Maritime Container Terminal Operations for Effective Utilization of Resources.
   IEEE Transactions on Intelligent Transportation Systems, :1-16, 2025.

   DOI: 10.1109/TITS.2025.3555812

2. R. Ramirez Acosta, C. Wanigasekara, E. Frost, T. Brandt, S. Lehnhoff, C. Büskens.
   Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective.
   Energies, 16(11), 2023.

   DOI: 10.3390/en16114319

3. F. Islam, C. Wanigasekara, G. Rajan, A. Swain, B. G. Prusty.
   An approach for process optimisation of the Automated Fibre Placement (AFP) based thermoplastic composites manufacturing using Machine Learning, photonic sensing and thermo-mechanics modelling.
   Manufacturing Letters, 32(1):10-14, 2022.

   DOI: 10.1016/j.mfglet.2022.01.002

4. D. Almakhles, C. Wanigasekara, A. Swain.
   Delta Modulator Based Quantised State-Feedback Control of Networked Linear Systems.
   IEEE Access, 10(1):48865-48874, 2022.

   DOI: 10.1109/ACCESS.2022.3172431

5. C. Wanigasekara, A. Swain, D. Almakhles, L. Zhou.
   Design of Delta-Sigma Based PID Controller for Networked Wind Energy Conversion Systems.
   IEEE Transactions on Industry Applications, 58(1):879-889, 2022.

   DOI: 10.1109/TIA.2021.3126574

6. C. Wanigasekara, L. Zhang, A. Swain, S. K. Nguang.
   Delta-Modulator Based Quantised State Feedback Controller for T-S Fuzzy Networked Systems.
   International Journal of Fuzzy System, 23(3):642-656, 2021.

   DOI: 10.1007/s40815-020-01036-z

7. C. Wanigasekara, E. Oromiehie, A. Swain, B. G. Prusty, S. K. Nguang.
   Machine Learning-Based Inverse Predictive Model for AFP Based Thermoplastic Composites.
   Journal of Industrial Information Integration, 22(1), 100197, 2021.

   DOI: 10.1016/j.jii.2020.100197

8. C. Wanigasekara, D. Almakhles, A. Swain, S. K. Nguang.
   Delta-Modulator Based Quantised Output Feedback Controller for Linear Networked Control Systems.
   IEEE Access, 8(1):175169-175179, 2020.

   DOI: 10.1109/ACCESS.2020.3026230

9. C. Wanigasekara, E. Oromiehie, A. Swain, B. G. Prusty, S. K. Nguang.
   Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates.
   IEEE Transactions on Industrial Informatics, 16(4):2315-2324, 2020.

   DOI: 10.1109/TII.2019.2932398

10. D. Almakhles, C. Wanigasekara, A. Swain, K. Almustafa, U. Subramaniyan.
    Hybrid delta modulator: stability analysis using sliding mode theory.
    Systems Science and Control Engineering, 7(1):234-242, 2019.

    DOI: 10.1080/21642583.2019.1630861

Tagungsbeiträge (12)

1. M. Höffmann, S. Roy, C. Wanigasekara, C. Büskens.
   Sensitivity Analysis of Wind Affected Maneuverability of Tugboat-Controlled Ships.
   2024 IEEE SICE International Symposium on Control Systems (SICE ISCS), 18-20 March 2024 , Japan , Higashi-Hiroshima.
   

   DOI: 10.23919/SICEISCS60954.2024.10505760

2. L. Zhang, C. Wanigasekara, A. Swain.
   A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems.
   IEEE International Conference on Control & Automation.
   

   DOI: 10.1109/ICCA54724.2022.9831939

3. C. Wanigasekara, L. Zhang, A. Swain.
   H-infinity State-Feedback Consensus of Linear Multi-Agent Systems.
   IEEE International Conference on Control & Automation.
   

   DOI: 10.1109/ICCA54724.2022.9831897

4. D. Gamage, X. Zhang, A. Ukil, C. Wanigasekara, A. Swain.
   Design of ANFIS Controller for a DC Microgrid.
   International Conference on Energy, Power and Environment: Towards Clean Energy Technologies.
   

   DOI: 10.1109/ICEPE50861.2021.9404439

5. D. Gamage, X. Zhang, A. Ukil, C. Wanigasekara, A. Swain.
   Distributed Co-ordinated Consensus Control for Multi-Energy Storage of DC Microgrid.
   IEEE PES General Meeting.
   

   DOI: 10.1109/PESGM46819.2021.9638036

6. C. Wanigasekara, A. Swain, D. Almakhles, L. Zhou.
   Design of Dynamic Fuzzy Q-Learning Controller for Networked Wind Energy Conversion Systems.
   IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems.
   

   DOI: 10.1109/EEEIC/ICPSEurope49358.2020.9160603

7. C. Wanigasekara, D. Almakhles, L. Zhou, A. Swain, U. Subramaniyan, S. Padmanaban.
   Design of Delta Sigma Based PID Controller for Wind Energy Systems.
   IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems.
   

   DOI: 10.1109/EEEIC.2019.8783338

8. C. Wanigasekara, A. Swain, S. K. Nguang, B. G. Prusty.
   Neural Network Based Inverse System Identification from Small Data Sets.
   International Joint Conference on Neural Networks.
   

   DOI: 10.1109/IJCNN.2019.8851722

9. C. Wanigasekara, D. Almakhles, A. Swain, S. K. Nguang, U. Subramaniyan, S. Padmanaban.
   Performance of Neural Network Based Controllers and Delta Sigma-Based PID Controllers for Networked Control Systems: A Comparative Investigation.
   IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems.
   

   DOI: 10.1109/EEEIC.2019.8783404

10. C. Wanigasekara, A. Swain, S. K. Nguang, B. G. Prusty.
    Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques.
    International Joint Conference on Neural Networks.
    

    DOI: 10.1109/IJCNN.2018.8489759

11. E. Oromiehie, B. G. Prusty, G. Rajan, C. Wanigasekara, A. Swain.
    Machine learning based process monitoring and characterisation of automated composites.
    International SAMPE Technical Conference.
    
12. N. De Alwis, A. Perera, C. Wanigasekara, M. B. Dissanayake.
    Low Complexity Adaptive Video Cropping System for Sporting Applications Using Intelligent Object Tracking.
    SAITM Research Symposium on Engineering Advancements.