The pre-congress workshop “Alternative Representations for Control: Neuromorphic, Data-driven, and Moment-based Methods” was held at BEXCO in Busan on August 23, 2026. The workshop was organized by Prof. Alessandro Astolfi from KAUST, Prof. Anders Rantzer from Lund University, Prof. Claudio De Persis from the University of Groningen, Prof. Daniel Zelazo from the Technion, Prof. Florian Dörfler from ETH Zürich, Prof. Francesco Bullo from UC Santa Barbara, Prof. Maurice Heemels from TU Eindhoven, and Prof. Jin Gyu Lee from Seoul National University. The workshop focused on alternative ways of representing and controlling dynamical systems, with emphasis on learning, data-driven methods, neuromorphic systems, networked systems, and moment-based approaches.
The talks covered a broad range of topics connecting modern learning methods with systems and control theory. Prof.Bullo discussed neural circuits and predictive coding from an optimization perspective, while Prof.Persis presented a data-driven approach for predicting unknown system trajectories from templates of representative behaviors. Prof.Dörfler and Prof.Rantzer addressed learning and decision-making in control, including the connection between reinforcement learning and adaptive control, and the exploration–exploitation tradeoff in dual control. The afternoon session included Prof.Heemels’ talk on projected dynamics for stability and safety, Prof.Zelazo’s work on inferring interaction graphs in nonlinear multi-agent networks, and Prof.Astolfi’s presentation on data-driven and closed-loop extensions of moment matching. Prof.Lee concluded the workshop by presenting a moment- and exosystem-based perspective on system input-output behavior and its connections to output regulation, data-driven and neuromorphic control.
The workshop was closely related to CDSL’s research on multi-agent systems, observer design, secure control, distributed optimization, and neuromorphic engineering. The talks on data-driven control, network identification, and moment-based methods provided useful perspectives on these research areas. We sincerely thank all invited speakers for sharing their work and for the valuable discussions throughout the workshop.