About

Model-based control system design has been the dominant paradigm in control system education and design. Nearly all courses in control theory deal with different aspects of model-based analysis and design techniques. However, in the past two decades, there has been a tremendous interest in data-driven control systems. The exponentially increasing number of research papers in this field and the growing number of courses offered in universities worldwide on the subject show this trend.

Data-driven control only refers to a closed-loop control in which the starting point and destination are both data. Data-based control is then a more general term in that controllers are designed without directly making use of parametric models, but based on knowledge of the plant input-output data. Sorted according to the relationship between the control strategy and the measurements, data-based control can be summarized as four types: post-identification control, direct data-driven control, learning control, and observer-integrated control.


Prerequisite: Linear Control, Modern Control, MATLAB and Simulink

Instructor

Dr Ali Khaki Sedigh

Dr. Ali Khaki-Sedigh

Professor
Department of Electrical Engineering, Control Systems
Member of APAC research group
K. N. Toosi University of Science and Technology

  • PART A Data-Driven Control System Design Methodologies
    1. Introduction to data-driven control system design approaches
    2. Unfalsified Adaptive Switching Supervisory Control
    3. Multi-Model Unfalsified Adaptive Switching Supervisory Control
    4. Data-Driven Control System Design Based on the Virtual Reference Feedback Tuning (VRFT) Approach
    5. The Simultaneous Perturbation Stochastic Approximation (SPSA) Based Data-Driven Control Design
    6. Data-Driven Control System Design Based on the Fundamental Lemma
    7. Koopman Theory and Data-Driven Control System Design of Nonlinear Systems
    8. Model-free adaptive control (MFAC) approach
  • PART B Philosophical-Historical Discussions and Roundup of Control System Design Methodologies
    9. Philosophical Perspectives of the Paradigm Shift in Control System Design and the Re-emergence of Data-Driven Control
    10. Open Discussion and Presentation Sessions
  1. An Introduction to Data-Driven Control Systems, A. Khaki Sedigh, 2023
  2. Safe Adaptive Control Data-Driven Stability Analysis and Robust Synthesis, Margareta Stefanovic, Michael G. Safonov, Lecture Notes in Control and Information Sciences 405, 2011
  3. Data-Driven Controller Design The H2 Approach, Alexandre Sanfelice Bazanella, Lucíola Campestrini, Diego Eckhard, Communications and Control Engineering, Springer, 2012
  4. Model-Free Adaptive Control Theory and Applications, Zhongsheng Hou, Shangtai Jin, CRC Press, Taylor & Francis Group, 2014
  5. Data-Driven Model-Free Controllers, Radu-Emil Precup, RaulCristian Roman, and Ali Safaei, CRC Press, 2022
  6. A Collection of Related Papers.
No.TitleSizeDownload
1Introduction to Data-Driven Control1.4 MBDirect Link