William MacKunis

Professor

William.MacKunis@erau.edu

Physical Sciences Department

Daytona College of Arts & Sciences

William MacKunis

Overview

Ph.D. - Doctor of Philosophy in Aerospace Engineering, University of Florida

M.S. - Master of Science in Electrical Engineering, Florida Atlantic University

B.S. - Bachelor of Science in Electrical Engineering, Florida Atlantic University

Dr. MacKunis received his PhD in aerospace engineering from University of Florida in 2009, with a specialty in nonlinear, Lyapunov-based control of aerospace and mechatronic systems with uncertain actuator dynamics. His current research is in nonlinear control of systems with dynamic uncertainty with wide-ranging practical applications in aircraft tracking control, satellite attitude control, flow field estimation, power tracking for photovoltaic power systems, and others. Dr. MacKunis also researches optimal estimation methods for bandwidth-limited communication channels.

Teaching

  • ENGP 800: Dissertation
  • ENGP 700: Graduate Thesis
  • PHYS 150: Physics with Calculus I
Undergraduate Courses
  • PS160 - Physics II for Engineers
  • PS250 - Physics III for Engineers
  • EP340 – Intro to Space System Design

Graduate Courses
  • EP505 – Space Vehicle Dynamics and Control
  • EP707 – Nonlinear Dynamical Systems
  • EP800 – Dissertation
  • EP700 – Thesis I
  • EP799 & EP699 – Special Topics in Engineering Physics

<strong>MW 10:30am - 11:45am and 1:30pm - 4:45pm</strong>

Research


Peer-Reviewer Journal Articles
  1. W. MacKunis, J. Will Curtis, and Pia E. K. Berg-Yuen, “Optimal Estimation of Multidimensional Data Over a Communication Channel with Limited Uses,” Optimization Letters, submitted.
  2. W. MacKunis, F. Leve, P. M. Patre, A. Waldrum, N. Fitz-Coy, and W. E. Dixon, “Adaptive Neural Network-based Satellite Attitude Control with Experimental Validation,” AIAA Journal of Guidance, Control, and Dynamics, submitted, 2013.
  3. P. M. Patre, W. MacKunis, K. Dupree, and W. E. Dixon, “Modular Adaptive Control of Uncertain Euler-Lagrange Systems with Additive Disturbances,” IEEE Transactions on Automatic Control, to appear, 2011.
  4. W. MacKunis, M. K. Kaiser, P. M. Patre, and W. E. Dixon, “Asymptotic Tracking for Aircraft via Robust and Adaptive Dynamic Inversion Methods,” IEEE Transactions on Control Systems Technology, Vol. 18, No. 6, pp. 1448-1456, 2010.
  5. Z. D. Wilcox, W. MacKunis, S. Bhat, R. Lind, W. E. Dixon, “Lyapunov-based Exponential Tracking Control of a Hypersonic Aircraft with Aerothermoelastic Effects,” AIAA Journal of Guidance, Control, and Dynamics, vol. 33, no. 4, pp. 1213-1224, 2010. 
  6. P. M. Patre, W. MacKunis, M. Johnson, and W. E. Dixon, “Composite Adaptive Control for Euler-Lagrange Systems with Additive Disturbances,” Automatica, Vol. 46, No. 1, pp. 140-147, 2010.
  7. W. MacKunis, Z. Wilcox, M. K. Kaiser, and W. E. Dixon, “Global Adaptive Output Feedback Tracking Control of an Unmanned Aerial Vehicle,” IEEE Transactions on Control Systems Technology, Vol. 18, No. 6, pp. 1390-1397, 2010.
  8. D. Kim, W. MacKunis, N. Fitz-Coy, W. E. Dixon, “Precision IPACS in the Presence of Dynamic Uncertainty,” AAS The Journal of the Astronautical Sciences, to appear.
  9. P. M. Patre, W. MacKunis, K. Dupree, and W. E. Dixon, “Modular Adaptation for Neural Network-Based Controllers,” IEEE Transactions on Neural Networks, submitted, 2009.
  10. G. Hu, W. MacKunis, N. Gans, W. E. Dixon, J. Chen, A. Behal, and D. M. Dawson, “Homography-Based Visual Servo Control with Imperfect Camera Calibration,” IEEE Transactions on Automatic Control, Vol. 54, No. 6, pp. 1318-1324, 2009.
  11. W. MacKunis, K. Dupree, N. Fitz-Coy, and W. E. Dixon, “Adaptive Satellite Attitude Control in the Presence of Inertia and CMG Gimbal Friction Uncertainties,” AAS Journal of the Astronautical Sciences, Vol. 56, No. 2, pp. 121-134, 2008.
  12. P. M. Patre, W. MacKunis, C. Makkar, and W. E. Dixon, “Asymptotic Tracking for Systems with Structured and Unstructured Uncertainties,” IEEE Transactions on Control Systems Technology, Vol. 16, No. 2, pp. 373-379, 2008.
  13. K. Dupree, N. Gans, W. MacKunis, and W. E. Dixon, “Euclidean Calculation of Feature Points of a Rotating Satellite: A Daisy Chaining Approach,” AIAA Journal of Guidance, Controls, and Dynamics, Vol. 31, No. 4, pp. 954-961, 2008.
  14. P. M. Patre, W. MacKunis, K. Kaiser, and W. E. Dixon, “Asymptotic Tracking for Uncertain Dynamic Systems via a Multilayer Neural Network Feedforward and RISE Feedback Control Structure,” IEEE Transactions on Automatic Control, Vol. 53, No. 9, pp. 2180-2185, 2008.
Peer-Reviewer Conference Publications
  1. W. MacKunis, S. Subramanian, S. Mehta, J. W. Curtis, M. Reyhanoglu, and C. Ton, “Robust nonlinear aircraft tracking control using synthetic jet actuators,” in IEEE Conference on Decision and Control, submitted, March 2013.
  2. S. Mehta, W. MacKunis, E. L. Pasiliao and J. W. Curtis, “Adaptive Image-based Visual Servo Control of an Uncertain Missile Airframe,” AIAA Guidance, Navigation, and Control Conference, to appear, 2012.
  3. S. Mehta, W. MacKunis, S. Subramanian, and C. Pasiliao, “Nonlinear Control of Hypersonic Missiles for Maximum Target Penetration,” AIAA Guidance, Navigation, and Control Conference, to appear, 2012.
  4. W. MacKunis, M. Reyhanoglu, and S. Drakunov, “Robust and Adaptive Maximum Power Point Tracking for Photovoltaic Power Systems Using a Sliding Mode Control Approach,” IEEE International Conference on Industrial Electronics Applications (ICIEA), to appear, 2012.
  5. W. MacKunis, S. Drakunov, M. Reyhanoglu, and L. Ukeiley, “Nonlinear Estimation of Fluid Flow Velocity Fields,” IEEE Conference on Decision and Control, to appear, 2011.
  6. Ton, C. and W. MacKunis, “Nonlinear Tracking Control of a Quad-rotor Helicopter in the Presence of Uncertainty,” IEEE Conference on Decision and Control, to appear, 2012.
  7. D. Kim, H. T. Dinh, W. MacKunis, N. Fitz-Coy, W. E. Dixon, “A Recurrent Neural Network (RNN)-based Attitude Control Method for a VSCMG-actuated Satellite,” American Control Conference, to appear, 2012.
  8. S. Mehta, W. MacKunis, and J. Will Curtis, “Adaptive Vision-based Missile Guidance in the Presence of Evasive Target Maneuvers,” IFAC World Congress, Milan, Italy, 2011, pp. 5471-5476.
  9. W. MacKunis, J. Will Curtis, and Pia E. K. Berg-Yuen “Robust Missile Guidance in the Presence of Model Uncertainty and Unknown Target Evasive Maneuvers,” AIAA Missile Sciences Conference, to appear, 2011.
  10. W. MacKunis, J. Will Curtis, and Pia E. K. Berg-Yuen, “Optimal Estimation of Multidimensional Data with Limited Measurements,” American Control Conference, San Francisco, CA, 2011, pp. 4257-4262.
  11. D. Kim, W. MacKunis, N. Fitz-Coy, and W. E. Dixon, “Precision IPACS in the Presence of Dynamic Uncertainty,” IEEE Conference on Decision and Control, Shanghai, China, December, 2009, pp. 5959-5964.
  12. W. MacKunis, Z. D. Wilcox, M. K. Kaiser, and W. E. Dixon, “Global Adaptive Output Feedback MRAC,” IEEE Conference on Decision and Control, Shanghai, China, December, 2009, pp. 3483-3488.
  13. Z. D. Wilcox, W. MacKunis, S. Bhat, R. Lind, and W. E. Dixon, “Robust Nonlinear Control of a Hypersonic Aircraft in the Presence of Aerothermoelastic Effects,” American Control Conference, St. Louis, MO, June, 2009, pp. 2533-2538.
  14. P. M. Patre, W. MacKunis, M. Johnson, and W. E. Dixon, “Composite Adaptive Control for Systems with Additive Disturbances,” American Control Conference, St. Louis, MO, June, 2009, pp. 1928-1933.
  15. W. MacKunis, K. Kaiser, P. M. Patre, and W. E. Dixon, “Adaptive Dynamic Inversion for Asymptotic Tracking of an Aircraft Reference Model,” Proc. of AIAA Guidance, Navigation, and Control Conference, Honolulu, HI, 2008, AIAA-2008-6792.
  16. P. M. Patre, W. MacKunis, K. Dupree, and W. E. Dixon, “A New Class of Modular Adaptive Controllers, Part I: Systems with Linear-in-the-Parameters Uncertainty,” American Control Conference, Seattle, WA, June, 2008, pp. 1208-1213.
  17. P. M. Patre, K. Dupree, W. MacKunis, and W. E. Dixon, “A New Class of Modular Adaptive Controllers, Part II: Neural Network Extension for Non-LP Systems,” American Control Conference, Seattle, WA, June, 2008, pp. 1214-1219.
  18. W. MacKunis, K. Dupree, N. Fitz-Coy, and W. E. Dixon, “Adaptive Neural Network Satellite Attitude Control in the Presence of Inertia and CMG Actuator Uncertainties,” American Control Conference, Seattle, WA, June, 2008, pp. 2975-2980.
  19. W. MacKunis, K. Kaiser, P. M. Patre, and W. E. Dixon, “Asymptotic Tracking for Aircraft via an Uncertain Dynamic Inversion Method,” American Control Conference, Seattle, WA, June, 2008, pp. 3482-3487.
  20. G. Hu, W. MacKunis, N. Gans, and W. E. Dixon, “Homography-Based Visual Servo Control via an Uncalibrated Camera,” American Control Conference, Seattle, WA, June, 2008, pp. 4791-4796.
  21. W. MacKunis, N. Gans, K. Kaiser, and W. E. Dixon, “Unified Tracking and Regulation Visual Servo Control for Wheeled Mobile Robots,” IEEE Multi-Conference on Systems and Control, Suntec City, Singapore, October, 2007, pp. 88-93. 
  22. W. MacKunis, K. Dupree, N. Fitz-Coy, and W. E. Dixon, “Adaptive Satellite Attitude Control in the Presence of Inertia and CMG Gimbal Friction Uncertainties,” Proc. of AIAA Guidance, Navigation, and Control Conference, Hilton Head, South Carolina, 2007, AIAA-2007-6432.
  23. K. Dupree, N. R. Gans, W. MacKunis, and W. E. Dixon, “Euclidean Calculation of Feature Points of a Rotating Satellite: A Daisy Chaining Approach,” American Control Conference, New York City, NY, July, 2007, pp. 3874-3879.
  24. P. M. Patre, W. E. Dixon, K. Kaiser, and W. MacKunis, “Asymptotic Tracking for Uncertain Dynamic Systems via a Multilayer NN Feedforward and RISE Feedback Control Structure,” American Control Conference, New York City, NY, July, 2007, pp. 5989-5994.
  25. P. M. Patre, W. MacKunis, C. Makkar, and W. E. Dixon, “Asymptotic Tracking for Systems with Structured and Unstructured Uncertainties,” IEEE Conference on Decision and Control, San Diego, CA, 2006, pp. 441-446.
  26. W. MacKunis and Dr. D. Raviv, “A Simplistic Approach to Reactive Multi-agent Control in Unknown Environments” American Society for Engineering Education (ASEE) 2003 National Conference, Nashville, TN.