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Robustness Analysis

Robustness Analysis for Linear Parameter Varying Systems
This research focuses on developing tools and methods for robustness analysis of linear parameter varying (LPV) systems with respect to nonlinearities and/or uncertainties. LPV systems are a class of linear systems where the state matrices depend on (measurable) time-varying parameters. The analysis assumes the input/output behavior of the nonlinear/uncertain blocks is described by an integral quadratic constraint (IQC). Dissipation inequality conditions have been developed to bound the worst-case performance of the uncertain LPV system. These tools can be used to analyze the performance of gain-scheduled flight controllers.

Postdoctoral Associate: Harald Pfifer
Publications:
  1. A. Kotikalpudi, H. Pfifer and P. Seiler, Robust Flutter Analysis Based On Integral Quadratic Constraints, AIAA Science and Technology Forum, 2016.
  2. H. Pfifer and P. Seiler, Quantifying Loss Of Control Envelopes Via Robust Tracking, submitted to the Journal of Guidance, Navigation and Control, 2015.
  3. H. Pfifer and P. Seiler, Less Conservative Robustness Analysis of LPV Systems Using Integral Quadratic Constraints, submitted to the International Journal of Robust and Nonlinear Control, 2015. (mfiles)
  4. H. Pfifer and P. Seiler, Integral Quadratic Constraints for Delayed Nonlinear and Parameter-Varying Systems, Automatica, 2015. (mfiles)
  5. H. Pfifer and P. Seiler, An Overview of Integral Quadratic Constraints for Delayed Nonlinear and Parameter-Varying Systems, Arxiv, 2015.
  6. S. Wang, H. Pfifer and P. Seiler, Robust Synthesis for Linear Parameter Varying Systems Using Integral Quadratic Constraints, submitted to Automatica, 2014.
  7. T. Peni and H. Pfifer, Analysis of Large Scale Parameter-Varying Systems by Using Scaled Diagonal Dominance , European Control Conference, 2015.
  8. B. Takarics and P. Seiler, Gain Scheduling for Nonlinear Systems via Integral Quadratic Constraints, American Control Conference, 2015.
  9. H. Pfifer and P. Seiler, Robustness Analysis with Parameter-Varying Integral Quadratic Constraints, American Control Conference, 2015. (mfiles)
  10. A. Knoblach, H. Pfifer and P. Seiler, Worst Case Analysis of a Saturated Gust Loads Alleviation System , AIAA Science and Technology Forum, 2015.
  11. S. Wang, H. Pfifer and P. Seiler, Robust Synthesis for Linear Parameter Varying Systems Using Integral Quadratic Constraints , IEEE Conference on Decision and Control, 2014. (mfiles)
  12. H. Pfifer and P. Seiler, Robustness Analysis of Linear Parameter Varying Systems Using Integral Quadratic Constraints, International Journal of Robust and Nonlinear Control, 2014. (mfiles)
  13. H. Pfifer and P. Seiler, Robustness Analysis of Linear Parameter Varying Systems Using Integral Quadratic Constraints, American Control Conference, 2014. (mfiles)