1. Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems
- Author
-
George I. Boutselis, Ethan N. Evans, Marcus A. Pereira, and Evangelos A. Theodorou
- Subjects
stochastic spatio-temporal systems ,stochastic partial differential equations ,stochastic control ,variational optimization ,optimization in Hilbert space ,Science ,Astrophysics ,QB460-466 ,Physics ,QC1-999 - Abstract
Stochastic spatio-temporal processes are prevalent across domains ranging from the modeling of plasma, turbulence in fluids to the wave function of quantum systems. This letter studies a measure-theoretic description of such systems by describing them as evolutionary processes on Hilbert spaces, and in doing so, derives a framework for spatio-temporal manipulation from fundamental thermodynamic principles. This approach yields a variational optimization framework for controlling stochastic fields. The resulting scheme is applicable to a wide class of spatio-temporal processes and can be used for optimizing parameterized control policies. Our simulated experiments explore the application of two forms of this approach on four stochastic spatio-temporal processes, with results that suggest new perspectives and directions for studying stochastic control problems for spatio-temporal systems.
- Published
- 2021
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