Extremum Seeking Control Systems
This cluster of papers focuses on extremum seeking control, a method for optimizing the performance of dynamic systems by iteratively adjusting control inputs to seek the extremum of a cost function. The papers cover various aspects such as stability analysis, adaptive control, stochastic optimization, and applications in fields like wind energy, bioreactors, and autonomous vehicles.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.