Steady-state analysis of a quantized average consensus algorithm using state-space description.
Ondrej SluciakMarkus RuppPublished in: EUSIPCO (2010)
Keyphrases
- steady state
- learning algorithm
- dynamic programming
- markov chain
- state space
- search space
- np hard
- reinforcement learning
- objective function
- computationally efficient
- monte carlo
- mathematical analysis
- explicit expressions
- arrival rate
- operating conditions
- state variables
- dynamic systems
- markov decision processes
- mathematical model