Mario Garcia-Sanz

Professor, Department of Electrical, Computer and Systems Engineering
Bridges the gap between advanced control theory and energy, industrial and space applications
Office: 605 Olin Email: mario@case.edu

Research Interests

With an interdisciplinary and concurrent engineering approach, Professor Garcia-Sanz's main research interest focuses on bridging the gap between advanced control theory and applications, with special emphasis in energy innovation, wind energy, spacecraft, water quality, environmental and industrial applications.

Teaching Interests

Professor Garcia-Sanz's main teaching interest focuses on advanced solutions for practical control engineering problems in Energy Systems, Multi-megawatt Wind Turbines, Renewable Energy Plants, Power System Dynamics and Control, Grid Integration, Energy Storage, Power Electronics, Wastewater Treatment Plants, Desalination Systems, Formation Flying Spacecraft, Satellites with Flexible Appendages, Heating Systems, Robotics, Parallel Kinematics, Telescope Control, etc

Publications

Garcia-Sanz, M. (2020). A Metric Space with LCOE Isolines for Research Guidance in wind and hydrokinetic energy systems. Wind Energy, 23 (2), 291-311.
Garcia-Sanz, M. (2019). Control Co-Design: An engineering game changer. Advanced Control for Applications, Wiley, 1 (1).
Wang, F., & Garcia-Sanz, M. (2018). Wind farm cooperative control for optimal power generation. Wind Engineering.
Garcia-Sanz, M. (2016). The Nyquist Stability Criterion in the Nichols Chart. International Journal of Robust and Nonlinear Control, Wiley.
Ranka, T., Garcia-Sanz, M., Symmes, A., Ford, J., & Weadon, T. (2016). Dynamic analysis of the Green Bank Telescope structure and servo system. Journal of Astronomical Telescopes, Instruments, and Systems [23294124], 2 (1).
Garcia-Sanz, M., & Otorongo, M. (2016). Planificación y diseño automático óptimo de grandes redes eléctricas de distribución: aplicación al Centro histórico de Quito. CENACE.
Elso, J., Gil-Martinez, M., & Garcia-Sanz, M. (2016). Quantitative feedback control for multivariable model matching and disturbance rejection: QFT CONTROL FOR MIMO MODEL MATCHING AND DISTURBANCE REJECTION. International Journal of Robust and Nonlinear Control [10498923], 27 (1), 121-134.
Franke, T., Weadon, T., Ford, J., & Garcia-Sanz, M. (2015). Correcting Encoder Interpolation Error on the Green Bank Telescope Using an Iterative Model-Based Identification Algorithm. Journal of Astronomical Telescopes, Instruments and Systems, 1 (4), 044005.
Ranka, T., Garcia-Sanz, M., Symmes, A., Ford, J., & Weadon, T. (2015). Dynamic analysis of the Green Bank Telescope structure and servo system. Journal of Astronomical Telescopes, Instruments and Systems, 2 (1), 014001.
Garcia-Sanz, M., Elso, J., & Gil-Martinez, M. (2014). “A quantitative feedback solution to the multivariable tracking error problem”.. International Journal of Robust and Non-Linear Control, Wiley.
Garcia-Sanz, M., Elso, J., & Gil-Martinez, M. (2013). “Quantitative feedback-feedforward control for model matching and disturbance rejection”.. IET Control Theory & Applications, 7 (6), 894-900.
Garcia-Sanz, M., Kraay, M., Messerschmitt, P., Goldberg, V., & Rimnac, C. M. (2009). Analysis of retrieved ultra-high-molecular-weight polyethylene tibial components from rotating-platform total knee arthroplasty.. The Journal of arthroplasty, 24 (1), 131-8.