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Spiking Control Systems
- Source :
- Proceedings of the IEEE. 110:577-589
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Spikes and rhythms organize control and communication in the animal world, in contrast to the bits and clocks of digital technology. As continuous-time signals that can be counted, spikes have a mixed nature. This paper reviews ongoing efforts to develop a control theory of spiking systems. The central thesis is that the mixed nature of spiking results from a mixed feedback principle, and that a control theory of mixed feedback can be grounded in the operator theoretic concept of maximal monotonicity. As a nonlinear generalization of passivity, maximal monotonicity acknowledges at once the physics of electrical circuits, the algorithmic tractability of convex optimization, and the feedback control theory of incremental passivity. We discuss the relevance of a theory of spiking control systems in the emerging age of event-based technology.
- Subjects :
- Control systems
Quantitative Biology::Neurons and Cognition
Convex functions
Biological system modeling
Resistors
Systems and Control (eess.SY)
passive and active electrical circuits
Electrical Engineering and Systems Science - Systems and Control
Automata
feedback control
neuroscience
Integrated circuit modeling
Control theory
FOS: Electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Event-based control
Subjects
Details
- ISSN :
- 15582256 and 00189219
- Volume :
- 110
- Database :
- OpenAIRE
- Journal :
- Proceedings of the IEEE
- Accession number :
- edsair.doi.dedup.....7a0009828a2127491b19f1a89a252d71