-gain optimal control of input-affine nonlinear systems using Newton-type algorithm.

Vladimir Milic Josip Kasac Branko Novakovic

Published in: Int. J. Syst. Sci. (2015)

Keyphrases

optimal control
dynamic programming
nonlinear systems
neural network
learning algorithm
objective function
machine learning
feedback control
lyapunov function
real time
policy iteration
control law
learning rate
convergence rate
mathematical model
optimization algorithm
particle swarm optimization
genetic algorithm