Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406913 | Neurocomputing | 2014 | 12 Pages |
Abstract
In this study, approximate dynamics programming framework is utilized for solving the Bellman equation related to the fixed-final-time optimal tracking problem of input-affine nonlinear systems. Convergence of the weights of the neurocontroller in the proposed successive approximation based algorithms is provided and the network is trained to provide the optimal solution to the problems with (a) unspecified initial conditions (b) different time horizons, and (c) different reference trajectories under certain general conditions. Numerical simulations illustrate the versatility of the proposed neurocontroller.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ali Heydari, S.N. Balakrishnan,