Probabilistic tracking control for non-Gaussian stochastic process using novel iterative learning algorithms.
Yang YiChangyin SunLei GuoPublished in: Int. J. Syst. Sci. (2013)
Keyphrases
- stochastic process
- tracking control
- probability measures
- learning algorithm
- stochastic processes
- nonlinear systems
- markov chain
- stochastic model
- autoregressive
- control law
- learning rate
- adaptive neural
- machine learning
- probabilistic model
- neural network
- back propagation
- reinforcement learning
- artificial neural networks
- diffusion process
- maximum entropy