Papers
2
Total Citations
14
H-Index
2
About
Harald Pfifer is a leading researcher in robust control theory and its application to complex mechanical systems, with a particular focus on linear parameter varying (LPV) systems and probabilistic robustness analysis. His work bridges the gap between advanced theoretical frameworks and real-world engineering challenges, most notably demonstrated in his 2011 paper on applied LPV control for industrial manipulators. In this highly cited work, Pfifer exploited the separation principle to design a positioning controller for a single-axis flexible joint robot, effectively handling the parameter-dependent dynamics that arise from manipulator movements—a critical contribution to industrial automation. More recently, his 2021 letter on probabilistic robustness analysis introduced polynomial chaos expansion (PCE) to quantify the effects of random model uncertainty on uncertain linear time-varying (LTV) systems, achieving high accuracy and computational efficiency. This work has garnered 7 citations and represents a significant advance in stochastic control. With both papers earning 7 citations each, Pfifer’s research is recognized for its practical impact, offering engineers rigorous yet implementable tools for designing controllers that are both robust and reliable under uncertainty.
Research Focus
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