Stable iterative optimal control for discrete-time nonlinear systems using numerical controller
Stable iterative optimal control for discrete-time nonlinear systems using numerical controller
- New search for: Wei, Qinglai
- New search for: Liu, Derong
- New search for: Wei, Qinglai
- New search for: Liu, Derong
This paper is concerned with a new iterative adaptive dynamic programming (ADP) algorithm to solve optimal control problems for infinite horizon discrete-time nonlinear systems using a numerical controller. The convergence conditions of the iterative ADP are developed considering the errors by the numerical controller which show that the iterative performance index functions can converge to the greatest lower bound of all performance indices within a finite error bound. Neural networks and digital computer are used to approximate the iterative performance index function and compute the numerically iterative control policy, respectively, for facilitating the implementation of the iterative ADP algorithm. Finally, a simulation example is given to illustrate the performance of the present method.
Document information
Stable iterative optimal control for discrete-time nonlinear systems using numerical controller
2013-07-01
208736 byte
Conference paper
Electronic Resource
English
Similar titles
Discrete-Time Synergetic Optimal Control of Nonlinear Systems
| Online Contents | 2008
Optimal Recursive Iterative Algorithm for Discrete Nonlinear Least-Squares Estimation
| Online Contents | 1996
Data-Driven Iterative Learning Control for Discrete-Time Systems
| TIBKAT | 2022