Neuromorphic Control of a Pendulum
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Abstract (arXiv)
We illustrate the potential of neuromorphic control on the simple mechanical model of a pendulum, with both event-based actuation and sensing. The controller and the pendulum are regarded as event-based systems that occasionally interact to coordinate their respective rhythms. Control occurs through a proper timing of the interacting events. We illustrate the mixed nature of the control design: the design of a rhythmic automaton, able to generate the right sequence of events, and the design of a feedback regulator, able to tune the timing of events.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Apr 2024.
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Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024Augmenting learning in neuro-embodied systems through neurobiological first principlescited by 2
- 2025Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamicscited by 2
- 2025A Neuromorphic Architecture for Scalable Event-Based Controlcited by 0
- 2025Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Controlcited by 0
- 2025Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control29 Nov 2025
- 2025A Neuromorphic Architecture for Scalable Event-Based Control14 Nov 2025
- 2025Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics12 Jan 2025
- 2024Augmenting learning in neuro-embodied systems through neurobiological first principles5 Jul 2024