State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems.
A. Daniel CarnereroDaniel R. RamírezTeodoro AlamoPublished in: IEEE Control. Syst. Lett. (2022)
Keyphrases
- nonlinear dynamical systems
- dynamical systems
- state space
- phase space
- reinforcement learning
- heuristic search
- dynamical behavior
- differential equations
- state variables
- short term
- dynamic systems
- black box
- particle filter
- fixed point
- markov decision processes
- search space
- optimal policy
- interpolation method
- dynamic programming
- control law
- optimization algorithm
- predictive model
- multi agent systems