Intelligent Informatics and Control Research Group

The Intelligent Informatics and Control Research Group focuses on all aspects of intelligent data-driven modelling, control and optimisation in complex network environments, and their applications in industries such as energy, automotive, manufacturing, sociology and biology.

Intelligent Informatics and Control (I2C) is a group of highly performing researchers interested in intelligent data-driven modelling, control and optimisation and their applications.

Key research areas 

  • Control and automation
  • Intelligent systems
  • Complex systems
  • Intelligent informatics
  • Energy systems

Key research projects

Australian Research Council Discovery Projects:

  • Dynamics and Resilience of Complex Network Systems with Switching Topology — DP200101199 
  • Switching Dynamics Approach for Distributed Global Optimisation — DP200101197
  • Engineering evolving complex network systems through structure intervention — DP170102303
  • A direct drive linear tube generator for ocean wave energy conversion — DP170101039
  • Advanced inverter control for distributed energy systems — DP180103200

Australian Research Council Linkage Project:

  •  Dynamic Deep Learning for Electricity Demand Forecasting — LP180101309

Key publications

  • G. Wen, X. Yu, W. Yu, and J. Lu, “Coordination and control of complex network systems with switching topologies: A survey,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2961753, January 2020. 
  • L. Chen, X. Yu, X. Xin, and C. Sun, “Characteristic model-based control approach for complex network systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2931309, August 2019.
  • N Gaeini, AM Amani, M Jalili, X Yu, Optimization of Communication Network Topology in Distributed Control Systems Subject to Prescribed Decay Rate, IEEE transactions on cybernetics, 2019.
  • H Zare, M Hajiabadi, M Jalili, Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach IEEE Transactions on Knowledge and Data Engineering, 2019.
  • F Rezaeimehr, P Moradi, S Ahmadian, NN Qader, M Jalili, TCARS: time-and community-aware recommendation system  Future Generation Computer Systems 78, 419-429, 2018.
  • R. Patel, C. Li, L. Meegahapola, B. McGrath, X. Yu, “Enhancing Optimal Automatic Generation Control in a Multi-Area Power System with Diverse Energy Resources,” IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3465 – 3475, Sept. 2019.
  • R. Patel, L. Meegahapola, L. Wang, X. Yu, B. McGrath, “Automatic Generation Control of a Multi-Area Power System with Network Constraints and Communication Delay,” Journal of Modern Power Systems and Clean Energy, 2020.
  • Mishra, J.P., Xu, Q., Yu, X. and Jalili, M., 2018. Precision position tracking for piezoelectric-driven motion system using continuous third-order sliding mode control. IEEE/ASME Transactions on Mechatronics23(4), pp.1521-1531.
  • Mishra, J.P., Yu, X. and Jalili, M., 2018. Arbitrary-order continuous finite-time sliding mode controller for fixed-time convergence. IEEE Transactions on Circuits and Systems II: Express Briefs65(12), pp.1988-1992.
  • Mishra, J., Wang, L., Zhu, Y., Yu, X. and Jalili, M., 2018. A novel mixed cascade finite-time switching control design for induction motor. IEEE Transactions on Industrial Electronics66(2), pp.1172-1181.
  • Mishra, J.P., Li, C., Jalili, M. and Yu, X., 2018. Robust second-order consensus using a fixed-time convergent sliding surface in multiagent systems. IEEE transactions on cybernetics50(2), pp.846-855.
  • Mishra, J., Patel, R., Yu, X. and Jalili, M., 2018. Recursive surface structure for fixed-time convergence with applications to power systems. IET Control Theory & Applications12(18), pp.2595-2604.
  • Wang, L., Mishra, J., Zhu, Y. and Yu, X., 2019. An Improved Sliding Mode Current Control of Induction Machine in Presence of Voltage Constraints. IEEE Transactions on Industrial Informatics.
  • B.P. McGrath, D.G.Holmes and L. McNabb. A Signal Conditioning Antiwindup Approach for Digital Stationary Frame Current Regulators. IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 6036-6046, 2019.
  • J. Riedel, D.G. Holmes, B.P. McGrath and C.A. Teixeira. Maintaining continuous ZVS operation of a dual active bridge by reduced coupling transformers. IEEE Transactions on Industrial Electronics, vol. 65, no. 12, pp. 9438-9448, 2018.

Members

Group Leader

Distinguished Professor Xinghuo Yu

Staff

Research candidates

  • Nameer Mahdi
  • Mingchen Gu
  • Zhiyi Chen
  • Wenting Lin
  • Chen Liu
  • Sebastian Lange
  • Nima Joorabloo
  • Mohammdreza Radmanesh
  • Hassan Mohammad
  • Dominic Goh
  • Jack Bryant
  • Enkhtsetseg Munkhchuluun
  • Moudud Ahmed
  • L. McNabb
  • A. Sattar
  • A. Hoshu
  • Y. Sun
  • Y. Zhu
  • B. Gladysz
  • Junaid Saeed
  • Ahmad Afif Nazib
  • Peishuo Mu
  • Haris Siraj
  • Xiaoming Li

Opportunities

The group is interested in exploring collaborations and recruiting research staff and students within the scope of our group.

Prizes and awards

  • 2018 M A Sargent Medal, Engineers Australia
  • 2018 Australasian AI Distinguished Research Contribution Award,  Australian Computer Society
  • 2013 Dr.-Ing. Eugene Mittelmann Achievement Award, IEEE Industrial Electronics Society
  • 2015-2019 Highly Cited Researcher Award, Clarivate Analytics
  • 2012 Best Paper Award IEEE Industrial Electronics Magazine

Contact

Group Leader Distinguished Professor Xinghuo Yu
xinghuo.yu@rmit.edu.au

 

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RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business. - Artwork created by Louisa Bloomer