Differential dynamic-programming approach to optimal nonlinear distributed-parameter control systems

1 January 1969

journal article
Published by Institution of Engineering and Technology (IET) in Proceedings of the Institution of Electrical Engineers

Vol. 116 (6) , 1079-1084
https://doi.org/10.1049/piee.1969.0202

Abstract

The optimal distributed and boundary control of nonlinear distributed-parameter systems with nonlinear cost functionals is treated. First- and second-order algorithms for improving a nominal distributed and/or boundary-control function are developed. The approach of iteratively solving the distributed-parameter Hamilton-Jacobi equation, known as differential dynamic-programming technique, is followed. A simple example illustrates the theory.

Keywords

This publication has 2 references indexed in Scilit:

Maximum-likelihood approach to the optimal filtering of distributed-parameter systems
Proceedings of the Institution of Electrical Engineers, 1969
16. The Theory of Optimal Control and the Calculus of Variations
Published by University of California Press ,1963