Robustness Analysis
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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
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:
- A. Kotikalpudi, H. Pfifer and P. Seiler, Robust Flutter Analysis Based On Integral Quadratic Constraints, AIAA Science and Technology Forum, 2016.
- H. Pfifer and P. Seiler, Quantifying Loss Of Control Envelopes Via Robust Tracking, submitted to the Journal of Guidance, Navigation and Control, 2015.
- 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)
- H. Pfifer and P. Seiler, Integral Quadratic Constraints for Delayed Nonlinear and Parameter-Varying Systems, Automatica, 2015. (mfiles)
- H. Pfifer and P. Seiler, An Overview of Integral Quadratic Constraints for Delayed Nonlinear and Parameter-Varying Systems, Arxiv, 2015.
- S. Wang, H. Pfifer and P. Seiler, Robust Synthesis for Linear Parameter Varying Systems Using Integral Quadratic Constraints, submitted to Automatica, 2014.
- T. Peni and H. Pfifer, Analysis of Large Scale Parameter-Varying Systems by Using Scaled Diagonal Dominance , European Control Conference, 2015.
- B. Takarics and P. Seiler, Gain Scheduling for Nonlinear Systems via Integral Quadratic Constraints, American Control Conference, 2015.
- H. Pfifer and P. Seiler, Robustness Analysis with Parameter-Varying Integral Quadratic Constraints, American Control Conference, 2015. (mfiles)
- A. Knoblach, H. Pfifer and P. Seiler, Worst Case Analysis of a Saturated Gust Loads Alleviation System , AIAA Science and Technology Forum, 2015.
- 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)
- 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)
- H. Pfifer and P. Seiler, Robustness Analysis of Linear Parameter Varying Systems Using Integral Quadratic Constraints, American Control Conference, 2014. (mfiles)