Alexander Scheinker

Papers

Total Citations

130

H-Index

About

Alexander Scheinker is a researcher whose work centers on extremum seeking (ES) methods, adaptive control, and optimization of complex dynamic systems. His most influential contribution, "Model-Free Stabilization by Extremum Seeking" (2016), has garnered over 100 citations and established him as a leading voice in model-free control strategies — approaches that enable stabilization of systems without requiring explicit mathematical models. This work is particularly significant for autonomous systems operating in unpredictable or analytically intractable environments. Scheinker has extended these foundational ideas in several important directions. His 2020 paper on extremum seeking for optimal control of unknown, time-varying systems tackles the challenging intersection of noisy, repeatedly initialized systems — with compelling real-world applications ranging from robotic rehabilitation assistants to particle accelerator cavities. His 2018 work further broadened the ES framework to directly force- and torque-actuated systems, expanding its utility for autonomous robotics and source-seeking problems. Together, these contributions reflect Scheinker's broader mission: developing robust, practical control tools for systems where traditional model-based approaches fall short. His research has clear implications across robotics, medical devices, and large-scale physics infrastructure, making him an important figure in modern adaptive control theory.