Title :
Control with rhythms: A CPG architecture for pumping a swing
Author :
Tilton, Adam ; Mehta, Prashant G.
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA
Abstract :
This paper presents a bio-inspired central pattern generator (CPG) architecture for feedback control of rhythmic behavior. The CPG circuit is realized as a coupled oscillator feedback particle filter. The collective dynamics of the filter are used to approximate a posterior distribution that is used to construct the optimal control input. The architecture is illustrated with the aid of a model problem involving pumping up of a swing, modeled as a parametrically forced pendulum. For this problem, the coupled oscillator particle filter is designed and its control performance demonstrated in a simulation environment.
Keywords :
control system analysis; feedback; optimal control; particle filtering (numerical methods); pendulums; CPG architecture; CPG circuit; bioinspired central pattern generator; collective dynamics; control performance; coupled oscillator feedback particle filter; feedback control; optimal control input; parametrically forced pendulum; pumping; rhythmic behavior; rhythms; simulation environment; swing; Approximation methods; Equations; Mathematical model; Noise; Noise measurement; Optimal control; Oscillators; Biological systems; Filtering; Stochastic systems;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859267