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Spiking Control Systems

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

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.

Description

Keywords

Integrated circuit modeling, Control systems, Control theory, Automata, Convex functions, Biological system modeling, Resistors, Event-based control, feedback control, neuroscience, passive and active electrical circuits

Journal Title

Proceedings of the IEEE

Conference Name

Journal ISSN

0018-9219
1558-2256

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE)
Sponsorship
European Research Council (670645)
ERC