Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization.
Prashant G. MehtaUmesh VaidyaAndrzej BanaszukPublished in: IEEE Trans. Autom. Control. (2008)
Keyphrases
- markov chain
- steady state
- transition probabilities
- finite state
- monte carlo simulation
- monte carlo
- stationary distribution
- markov process
- stochastic process
- random walk
- markov processes
- monte carlo method
- state space
- transition matrix
- sample path
- information theoretic
- markov model
- mutual information
- information theory
- probabilistic automata
- assemble to order systems
- reinforcement learning
- kullback leibler divergence
- confidence intervals
- least squares
- probability distribution
- dynamic programming
- search algorithm
- queueing theory
- learning algorithm