Google Scholar    Contact: Jorge.Poveda@colorado.edu,                  poveda@seas.harvard.edu.

Jorge I. Poveda

Postdoctoral Fellow (Now - January 2019)
John A. Paulson School of Engineering and Applied Sciences, Harvard University

Visiting Assistant Professor (Now - January 2019)
Assistant Professor (Starting in January 2019)
Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder

I received my Ph.D. in Electrical and Computer Engineering from the University of California at Santa Barbara under the supervision of Prof. Andrew R. Teel, where I was also part of the Center for Control, Dynamical Systems, and Computation. I am mainly interested in the analysis and development of robust feedback mechanisms and algorithms for control, optimization, online learning, and estimation in complex engineering and socio-technical systems. 

News: I have an open Ph.D. position in my lab at CU Boulder, please contact me if you are interested.

Research Interests:

  • Robust hybrid dynamical systems with applications to optimization, control, and networked systems.
  • Model-Free optimization and control of cyber-physical systems.
  • Distributed control and synchronization of multi-agent sampled data systems.
  • Distributed online learning in game theory with applications to societal systems.
  • Robust control of autonomous vehicle systems.

Education:

  • Ph.D. in Electrical and Computer Engineering, University of California at Santa Barbara, USA, 2018. Dissertation: "Robust Hybrid Systems for Control, Learning, and Optimization in Networked Systems". 
  • M.Sc. in Electrical and Computer Engineering, University of California at Santa Barbara, USA, 2016.
  • M.Sc. in Electrical Engineering, University of Los Andes, Bogota, Colombia, 2013.
  • B.S. in Mechanical Engineering, University of Los Andes, Bogota, Colombia, 2012. 
  • B.S. in Electronics Engineering, University of Los Andes, Bogota, Colombia, 2012.

Honors and Awards:

  • Finalist for "Best Student Paper Award", IEEE Conference on Decision and Control, 2017.
  • Winter Quarter Graduate Student Spotlight, Department of Electrical and Computer Engineering, University of California at Santa Barbara, 2017.
  • Researcher of the Term, Center for Control, Dynamics and Computation, University of California at Santa Barbara, Winter, 2017.
  • Doctoral Student Travel Grant, Academic Senate, University of California at Santa Barbara, 2017.
  • Outstanding Scholar Fellowship, Center for Control, Dynamics and Computation, University of California at Santa Barbara, 2013.
  • Best Presentation in the Session Award, American Control Conference, 2013 and 2015.
  • Student Commencement Speaker, University of Los Andes, Bogota, Colombia, 2013
  • "Jovenes Investigadores" Fellowship, National Department of Science and Innovation (COLCIENCIAS), Colombia, 2012.
  • Top Ranked on National Exam for Electronics Engineers (Saber Pro), National Inst. for Edu. Evaluation, Colombia, 2011.
  • Top Ranked on National Exam for Mechanical Engineers (Saber Pro), National Inst. for Edu. Evaluation, Colombia, 2011.

Journal Publications:

  1. J. I. Poveda and A. R. Teel, "Hybrid Mechanisms for Robust Synchronization and Coordination of Networked Sampled-Data Systems", Automatica, 99, pp. 41-53, 2019
  2. J. I. Poveda and A. R. Teel, "A Robust Event-Triggered Approach for Fast Sampled-Data Extremization and Learning," IEEE Transactions on Automatic Control, Vol 62, No. 10, pp. 4949-4964, 2017.
  3. J. I. Poveda and A. R. Teel, "A Framework for a Class of Hybrid Extremum Seeking Controllers with Dynamic Inclusions," Automatica, 76, pp. 113-126, 2017.
  4. J. I. Poveda and N. Quijano, "Shahshahani gradient-like extremum seeking," Automatica, Vol. 58, Pag. 51-59, 2015.
  5. J. I. Poveda, M. Benosman, and A. R. Teel "Hybrid Online Learning Control in Networked Multi-Agent Systems: A Survey", International Journal of Adaptive Control and Signal Processing, 1-34, 2018.
  6. G. Obando, J. I. Poveda, N. Quijano "Replicator dynamics under perturbations and time-delays", Mathematics of Controls, Signals, and Systems, Vol 28, Issue 3, pp. 1-32, 2016.
  7. A. Avila, J. I. Poveda, L. Gomez, D. Hotza and J. Escobar, "Characterization of SOFCS: A Crystallographic Analysis and First Steps towards an Impedance Spectroscopy Approach," Materials Science Forum, Vol. 727, pp. 769-774, 2012.
Working Papers:

  • J. I. Poveda, P. N. Brown, J. R. Marden, and A. R. Teel, "Robust Adaptive Pricing Mechanisms for Socio-Technical Systems with Limited Information", in preparation.

Conference Publications:

    1. J. I. Poveda, R. Kutadinata, C. Manzie, D. Nesic, A. R. Teel, C. Liao, "Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework", IEEE Conference on Decision and Control, to appear, 2018.
    2. M. Baradaran, J. I. Poveda, A. R. Teel, "Stochastic Hybrid Inclusions Applied to Global Almost Sure Optimization on Manifolds", IEEE Conference on Decision and Control, to appear, 2018.
    3. J. I. Poveda, M. Benosman, A. R. Teel,  R. G. Sanfelice, "A Hybrid Adaptive Feedback Law for Robust Obstacle Avoidance and Coordination in Multiple Vehicle Systems", American Control Conference, 2018, to appear.
    4. J. I. Poveda, P. N. Brown, J. R. Marden, A. R. Teel, "A Class of Distributed Adaptive Pricing Mechanisms for Societal Systems with Limited Information" IEEE Conference on Decision and Control, pp. 1490-1495, 2017.
    5. T. Strizic, J. I. Poveda, A. R. Teel, "Hybrid Gradient Descent for Robust Global Optimization on the Circle" IEEE Conference on Decision and Control, pp. 2985-2990, 2017.
    6. J. I. Poveda, M. Benosman, and A. R. Teel, "Real-time Distributed Model-Free Optimization in Multi-Agent Systems with Arbitrary Switching Graphs," IFAC World Congress, pp. 758-763, 2017.
    7. J. I. Poveda, K. G. Vamvoudakis, and M. Benosman, "A Neuro-Adaptive Architecture for Extremum Seeking Control Using Hybrid Learning Dynamics," American Control Conference, pp. 542-547, 2017.
    8. J. I. Poveda and A. R. Teel, "Distributed Robust Stochastic Learning in Asynchronous Networks of Sampled-Data Systems," IEEE Conference on Decision and Control, pp. 401-406, 2016.
    9. S. Bruggemann, C. Possieri, J. I. Poveda and A. R. Teel, "Robust Constrained Model Predictive Control with Persistent Model Adaptation," IEEE Conference on Decision and Control, pp. 2364-2369 2016.
    10. J. I. Poveda and A. R. Teel, "A Hybrid Systems Approach for Distributed Nonsmooth Optimization in Asynchronous Multi-Agent Sampled-Data Systems," IFAC Nonlinear Control System Symposium (NOLCOS), pp. 152-157, 2016.
    11. J. I. Poveda and A. R. Teel, "Event-Triggered Based On-Line Optimization for a Class of Nonlinear Systems," IEEE Conference on Decision and Control, pp. 5474 - 5479, 2015.
    12. A. R. Teel and J. I. Poveda "A Hybrid Systems Approach to Global Syncrhonization and Coordination of Multi-Agent Sampled-Data Systems," 5th IFAC Conference on Analysis and Design of Hybrid Systems, pp. 123-128, 2015.
    13. J. I. Poveda, A. R. Teel and D. Nesic, "Flexible Nash seeking using stochastic difference inclusions," American Control Conference, pp. 2236-2241, 2015.
    14. J. I. Poveda and A. R. Teel, "A hybrid seeking approach for robust learning in multi-agent systems," IEEE Conference on Decision and Control, pp. 3463-3468, 2014.
    15. J. I. Poveda and N. Quijano, "Extremum seeking for multi-population games," IEEE Conference on Decision and Control, pp. 409 - 414, 2013.
    16. J. I. Poveda and N. Quijano, "Distributed Extremum Seeking for Real-Time Resource Allocation," American Control Conference, pp. 2772 - 2777, 2013.
    17. J. I. Poveda and N. Quijano, "A Shahshahani Gradient Based Extremum Seeking Scheme," IEEE Conference on Decision and Control, pp. 5104-5109, 2012.
    18. J. I. Poveda, N. Ochoa-Lleras, and C. F. Rodriguez, "Guidance of an Autonomous Glider Based on Proportional Navigation and Virtual Targets: A Hybrid Dynamical Systems Approach," AIAA Guidance, Navigation, and Control Conference, 2012.

    Grant Experience:

    • Co-author of: "Learning Algorithms for Games Based on Population Dynamics: Theory and Applications in Feedback Control Systems", funded by the National Department of Science and Innovation (COLCIENCIAS), Colombia, PI: Nicanor Quijano, 

       
      2012-2013.
    • Co-author of: "Stochastic Hybrid Multi-Agent Systems: The Interplay of Randomness and Independent Decision Making", funded by the Air Force Office of Scientific Research, PI: Andrew R. Teel, 2015-2018.
    • Co-author of  "Data-Driven Hybrid Algorithms for Networked Multi-Agent Systems: Theory and Applications", funded by the Air Force Office of Scientific Research,  PI: Andrew R. Teel2018-2021.

    Patents:

    • Robust Source Seeking and Formation Learning-based Controllers, M. Benosman and J. I. Poveda, filed, 2018.

    Talks and Seminars:

    • Robust Model-Free Control, Optimization, and Learning in Cyber-Physical Societal Systems, University of Colorado, Boulder, CO, 2018.
    • Robust Model-Free Control, Optimization, and Learning in Cyber-Physical Societal Systems, University of Southern California, Los Angeles, CA, 2018.
    • Robust Model-Free Control, Optimization, and Learning in Cyber-Physical Societal Systems, Columbia University, NY, March 2018.
    • Robust Dynamic Mechanisms for the Safe Control of Cyber-Physical Systems in Adversarial Environments, Virginia Tech, Blacksburg, VI,  2018.
    • Hybrid Dynamical Systems for Robust Control, Optimization, and Learning in Cyber-Physical Societal Systems, California Institute of Technology, Pasadena, CA, 2018.
    • Robust Control and Optimization of Socially-Integrated Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY,  2018.
    • A Class of Distributed Adaptive Pricing Mechanisms for Societal Systems with Limited Information, Massachusetts Institute of Technology, Cambridge, MA, September 2017.
    • Hybrid Mechanisms for Robust Synchronization and Coordination in Multi-Agent Networked Sampled-Data Systems, Boston University, Boston, MA, September 2017.
    • Real-time Hybrid Optimization in Nonsmooth Dynamical SystemsMassachusetts Institute of Technology, Cambridge, MA, September 2017.
    • A Class of Neural-Based Dynamics for Online Learning of Incentive Mechanisms in Congestion Games with Switching Graphs, Southern California Machine Learning Symposium, California Institute of Technology, Pasadena, CA, November 2016.
    • A Framework for Hybrid Extremum Seeking Control, Harvard University, Cambridge, MA, August 2016.
    • An Efficient Event-Triggered-Based Approach for Robust Learning in Non-linear Sampled-data Systems, Tokyo Institute of Technology, Tokyo, Japan, December 2015.
    • Flexible Nash Seeking Using Stochastic Difference Inclusions, 28th Southern California Control Workshop, Univesity of California, Los Angeles, Los Angeles, CA, May 2015.

    Workshops (speaker and co-organizer):


    Links:

    IEEE Control Systems Society

    Research Group on Automation (GIAP) at UniAndes