Bin Zhang – ICSL


Intelligent Control Systems Laboratory

Georgia Institute of Technology

813 Ferst Drive, N.W.

Atlanta, Georgia 30332



  • Georgia Institute of Technology, Atlanta, GA

Research Fellow, School of Electrical and Computer Engineering

  • Nanyang Technological University, Singapore

Ph.D., Electrical Engineering

  • Nanjing University of Science and Technology

M. Eng., Mechanical Engineering

  • Nanjing University of Science and Technology

B. Eng., Mechanical Engineering

Research Interest

  • Dynamic systems, modeling, simulation and control
  • Robotics, mechatronics, unmanned systems, electromechanics, and industrial electronics
  • Intelligent systems and control; online adaptive and learning based control, neural and fuzzy control, reconfigurable control
  • Integrated health management; fault detection and isolation, failure prognosis, and fault tolerant control
  • Distributed and cooperative control; large-scale systems monitoring and control based on information processing and fusion
  • Smart systems; modeling, learning, and adaptation of systems to environment and users

Recent Proposals/Grants

In the past year, I have won over $200K research funding as PI and over $1.5M as key personnel.

  • A fast and robust noninvasive brain-computer control system, to Department of Defense, Office of the Secretary of Defense, 2010, PI.
  • A probabilistic ensemble mesoscale forecasting for aviation decision aid, to Department of Defense, Army, 2010, PI.
  • A real-time autonomous fault diagnostic system for underground cables in smart grids, to Department of Energy, 2010, PI.
  • An Affordable Rugged Inertial-Based Navigation System for Highly Accurate Position and Attitude Estimation Without the Use of GPS, DoD, Navy, 2010, Key Personnel.
  • Mobile-agent-based autonomous data fusion for distributed sensors, Department of Defense, Navy (Phase II), 2009, Key personnel.
  • A light weight, mini inertial measurement system for position and attitude estimation on dynamic platforms, NASA (Phase II), 2010, Key Personnel.
  • A propulsion-enabled control system for precise submarine maneuvering, Department of Defense, Navy (Phase II), 2010, Key Personnel.

Professional Activities

  • Associate Editor – IEEE Transactions on Industrial Electronics.
  • Associate Editor – International Journal of Fuzzy Logic and Intelligent Systems.
  • IEEE senior member
  • IPC member for some international conferences
  • ASME member
  • Finalist of the Best Student Paper of the 2007 IEEE Multi-conference on Systems and Control
  • Visiting scholar in Nanyang Technological University, 2007
  • Regular reviewer for a number of international journal and conferences

Research and Industrial Experience

  • Impact Technologies, LLC, Rochester NY

Led proposal writing and projects to DoD, NASA, DoE as PI and key personnel.
Developed and implemented algorithms on control, mission planning, diagnosis and prognosis to various applications.

  • Georgia Institute of Technology, Atlanta GA

Developed prognostics and health management methods.
Developed fault modeling and fault tolerance approaches.

  • Nanyang Technological University, Singapore

Developed system prototypes on robotics and power electronics.
Developed various iterative learning control and repetitive control schemes.


In the past five years, I have authored and co-authored 23 journal papers and 28 conference papers. I have published 75 papers in the areas of my expertise.

  • B. Zhang, L. Tang, J. Decastro, G. Kai, Prognosis Enhanced Receding Horizon Path Planning for Unmanned Ground Vehicles, to appear at AUVSI’s Unmanned Systems North America 2011.
  • B. Zhang, L. Tang, J. DeCastro, G. Kai, A Verification and Validation Methodology for Prognostic Algorithms, AUTOTESTCON, Sept. 2010, Orlando FL.
  • C. Chen, B. Zhang, G. Vachtsevanos, Prediction of Machine Health Condition Using Neuro-Fuzzy and Bayesian Algorithms, IEEE Transactions on Instrumentation & Measurement, in print.
  • B. Zhang, C. Sconyers, C. Byington, R. Patrick, M. Orchard, G. Vachtsevanos, A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection, IEEE Transactions on Industrial Electronics, in print.
  • B. Zhang, D. Wang, Y. Ye, K. Zhou, Y. Wang, Stability and Robustness Analysis of Cyclic Pseudo-Downsampled Iterative Learning Control, International Journal of Control, Vol. 83, No. 3, March 2010, p 651 – 659.
  • B. Zhang, T. Khawaja, R. Patrick, G. Vachtsevanos, A Novel Blind Deconvolution De-Noise Scheme in Failure Prognosis, Transactions of the Institute of Measurement & Control, Vol. 32, No. 1, 2010, p 3-30. Also appears at: Applications of Intelligent Control to Engineering Systems, Ed. K. Valavanis, Springer, 2009.
  • B. Zhang, D. Wang, Y. Ye, Cutoff-Frequency Phase-In Iterative Learning Control, IEEE Transactions on Control Systems Technology, Vo. 17, No. 3, 2009, p 681-687.
  • B. Zhang, D. Wang, Y. Ye, Y. Wang, K. Zhou, Pseudo-Downsampled Iterative Learning Control, International Journal of Robust and Nonlinear Control, Vol. 18, No. 10, July 2008, p 1072-1088.
  • B. Zhang, D. Wang, K. Zhou, Y. Wang, Linear Phase Compensation Repetitive Control of a CVCF PWM Inverters, IEEE Transactions on Industrial Electronics, Vol. 55, No. 4, Apr. 2008, p 1595-1602.
  • B. Zhang, D. Wang, Y. Ye, Wavelet Transform Based Frequency Tuning ILC, IEEE Transactions on Systems, Man & Cybernetics, Part B, Vol. 35, No. 1, 2005, p107-114.