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Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems.
Wentao Guo
Feng Liu
Jennie Si
Shengwei Mei
Rui Li
Published in:
IJCNN (2015)
Keyphrases
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approximate dynamic programming
nonlinear systems
error bounds
policy iteration
linear program
markov decision processes
finite state
fuzzy model
reinforcement learning
worst case
fuzzy control
dynamic programming
adaptive control
control law
fuzzy systems
fixed point
machine learning
theoretical analysis
least squares
artificial neural networks
decision making
learning algorithm