Guoqiang Hu's Webpage

 

Guoqiang Hu, Associate Professor

Director, Centre for System Intelligence and Efficiency (EXQUISITUS)

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Tel: (+65) 6790 4362

E-mail: gqhu@ntu.edu.sg

Personal information

Guoqiang Hu is currently with the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU), Singapore. He received his B.Eng, M.Phil, and Ph.D degrees from University of Science and Technology of China, Hefei, Anhui, China, the Chinese University of Hong Kong, Hong Kong, and University of Florida, Gainesville, FL, USA in 2002, 2004, and 2007, respectively. Prior to his current position, he was a Post-doctoral Research Associate at University of Florida, Gainesville, FL, USA, in 2008 and an Assistant Professor at Kansas State University, Manhattan, KS, USA, from 2008 to 2011.

Research interests

Analysis, control and design of distributed intelligent systems

  1. Theoretical research:

    1. Distributed control and estimation

    2. Distributed optimization and networked games

    3. Visual servo control

  2. Systems/applications:

    1. Smart grid: energy management and optimization, frequency and voltage regulation

    2. Smart buildings: energy efficiency, networked sensors and actuators, fault diagnostics

    3. Intelligent robotics: multi-robot coordination, visual servo control, cloud robotics

Selected recent publications

  • Distributed control and optimization

  1. C. Sun, M. Ye, G. Hu, “Distributed Time-varying Quadratic Optimization for Multiple Agents under Undirected Graphs,” IEEE Transactions on Automatic Control, accepted, DOI: 10.1109/TAC.2017.2673240.

  2. H. Cai, G. Hu, “Distributed Tracking Control of an Interconnected Leader-follower Multi-agent System,” IEEE Transactions on Automatic Control, accepted, published online, DOI: 10.1109/TAC.2017.2660298.

  3. Z. Feng, G. Wen, G. Hu, “Distributed Secure Coordinated Control for Multi-Agent Systems under Strategic Attacks,” IEEE Transactions on Cybernetics, accepted, published online, DOI: 10.1109/TCYB.2016.2544062.

  4. H. Cai, F. L. Lewis, G. Hu, and J. Huang, “Cooperative Output Regulation of Linear Multi-Agent Systems utilizing the Adaptive Distributed Observer,” Automatica, 75, 299-305, 2017.

  5. B. Chen, G. Hu, D. W. C. Ho, and L. Yu, “Distributed Covariance Intersection Fusion Estimation for Cyber-Physical Systems with Communication Constraints,” IEEE Transactions on Automatic Control, 61 (12), 4020-4026, 2016.

  6. M. Ye, G. Hu, “Solving Potential Games with Dynamical Constraint," IEEE Transactions on Cybernetics, 46 (5), 1156-1164, 2016.

  7. M. Ye, G. Hu, “A Robust Extremum Seeking Scheme for Dynamic Systems with Uncertainties and Disturbances,” Automatica, 66, 172–178, 2016.

  8. B. Chen, G. Hu, W. Zhang, L. Yu, “Distributed Mixed H2H_infinity Fusion Estimation with Limited Communication Capacity,” IEEE Transactions on Automatic Control, 61 (3), 805-810, 2016.

  9. Z. Feng, G. Hu, G. Wen, “Distributed Consensus Tracking for Multi-Agent Systems under Two Types of Attacks,” International Journal of Robust and Nonlinear Control, 26 (5), 896–918, 2016.

  10. C. Sun, G. Hu, L. Xie, “Robust Consensus Tracking for A Class of High-order Multi-agent Systems,” International Journal of Robust and Nonlinear Control, 26 (3), 578–598, 2016.

  11. M. Ye, G. Hu, “Distributed Seeking of Time-Varying Nash Equilibrium for Non-Cooperative Games,” IEEE Transactions on Automatic Control, 60 (11), 3000-3005, 2015.

  • Control and optimization of energy systems

  1. D. Li, Y. Zhou, G. Hu, C.J. Spanos, “Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis,” IEEE Transactions on Industrial Informatics, accepted, published online, DOI: 10.1109/TII.2016.2644669.

  2. H. Cai, G. Hu, “Distributed Nonlinear Hierarchical Control of AC Microgrid via Unreliable Communication,” IEEE Transactions on Smart Grid, accepted, published online, DOI: 10.1109/TSG.2016.2612544.

  3. K. Ma, G. Hu, C.J. Spanos, “Energy Management Considering Load Operations and Forecast Errors with Application to HVAC Systems,” IEEE Transactions on Smart Grid, accepted, published online, DOI: 10.1109/TSG.2016.2558319.

  4. M. Ye, G. Hu, “Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach,” IEEE Transactions on Cybernetics, 47 (3), 720-730, 2017.

  5. Y. Fan, G. Hu, M. Egerstedt, “Distributed Reactive Power Sharing Control for Microgrids with Event-Triggered Communication,” IEEE Transactions on Control Systems Technology, 25 (1), 118-128, 2017.

  6. H. Cai, G. Hu, “Distributed Control Scheme for Package-level State-of-charge Balancing of Grid-connected Battery Energy Storage System,” IEEE Transactions on Industrial Informatics, 12 (5), 1919-1929, 2016.

  7. M. Ye, G. Hu, “Distributed Extremum Seeking for Constrained Networked Optimization and Its Application to Energy Consumption Control in Smart Grid,” IEEE Transactions on Control Systems Technology, 24 (6), 2048-2058, 2016.

  8. H. Cai, G. Hu, F. L. Lewis, A. Davoudi, “A Distributed Feedforward Approach to Cooperative Control of AC Microgrids,” IEEE Transactions on Power Systems, 31 (5), 4057-4067, 2016.

  9. D. Li, G. Hu, C.J. Spanos, “A Data-driven Strategy for Detection and Diagnosis of Building Chiller Faults Using Linear Discriminant Analysis”, Energy and Buildings, 128, 519-529, 2016.

  10. D. Li, Y. Zhou, G. Hu, C.J. Spanos, “Fault Detection and Diagnosis for Building Cooling System With A Tree-structured Learning Method,” Energy and Buildings, 127, 540-551, 2016.

  11. G. Wen, G. Hu, J. Hu, X. Shi, and G. Chen, “Frequency Regulation of Source-Grid-Load Systems: A Compound Control Strategy,” IEEE Transactions on Industrial Informatics, 12 (1), 69-78, 2016.

  12. K. Ma, G. Hu, C.J. Spanos, “A Cooperative Demand Response Scheme Using Punishment Mechanism and Application to Industrial Refrigerated Warehouses,” IEEE Transactions on Industrial Informatics, 11 (6), 1520-1531, 2015.

  13. K. Ma, G. Hu, C.J. Spanos, “Energy Consumption Control via Real-Time Pricing Feedback in Smart Grid,” IEEE Transactions on Control Systems Technology, 22 (5), 1907-1914, 2014.

  • Multi-robot coordination; Visual servo control

  1. X. Dong, G. Hu, “Time-varying Formation Tracking for Linear Multi-agent Systems with Multiple Leaders,” IEEE Transactions on Automatic Control, accepted, DOI: 10.1109/TAC.2017.2673411.

  2. Z. Feng, G. Hu, W. Ren, W.E. Dixon, and J. Mei, “Distributed Coordination of Multiple Unknown Euler-Lagrange Systems,” IEEE Transactions on Control of Network Systems, accepted, published online, DOI: 10.1109/TCNS.2016.2578039.

  3. Z. Feng, C. Sun, G. Hu, “Robust Connectivity Preserving Rendezvous of Multi-robot Systems”, IEEE Transactions on Control of Network Systems, accepted, published online, DOI: 10.1109/TCNS.2016.2545869.

  4. X. Dong, G. Hu, “Time-varying output formation for general linear multi-agent systems via dynamic output feedback control,” IEEE Transactions on Control of Network Systems, accepted, published online, DOI: 10.1109/TCNS.2015.2489358.

  5. X. Liang, H. Wang, Y. Liu, W. Chen, G. Hu, J. Zhao, “Adaptive Task-Space Cooperative Tracking Control of Networked Robotic Manipulators without Task-Space Velocity Measurements,” IEEE Transactions on Cybernetics, 46 (10), 2386-2398, 2016.

  6. X. Dong, G. Hu, “Time-varying Formation Control for General Linear Multi-agent Systems with Switching Directed Topologies,” Automatica, 73, 47-55, 2016.

  7. B. Li, Y. Fang, G. Hu, X. Zhang, “Model-Free Unified Tracking and Regulation Visual Servoing of Wheeled Mobile Robots,” IEEE Transactions on Control Systems Technology, 24 (4), 1328-1339, 2016.