A State and Output Sensitivity Controllability Approach for Structural Identifiability of Linear State Space Models.
Carlos S. Méndez-BlancoLeyla ÖzkanPublished in: CDC (2020)
Keyphrases
- state space
- reinforcement learning
- state transition
- state variables
- nonlinear regression
- probabilistic model
- model selection
- heuristic search
- markov decision processes
- computational models
- linear model
- particle filter
- optimal policy
- experimental data
- statistical models
- dynamical systems
- dynamic programming
- belief state
- markov decision process
- data sets