Adaptive dynamic programming for nonlinear nonaffine systems

Tao Bian, Yu Jiang, Zhong Ping Jiang

Research output: Contribution to journalConference article

Abstract

This paper studies the optimal control problem for continuous-time nonaffine nonlinear dynamic systems with unknown dynamics. By using adaptive dynamic programming (ADP) method, a non-model based optimal control design is given. The convergence analysis for the designed control scheme is presented. Finally, a numerical example is adopted to illustrate the effectiveness of the obtained algorithm.

Original languageEnglish (US)
Article number7039949
Pages (from-to)3603-3608
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - 2014
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Adaptive dynamic programming for nonlinear nonaffine systems'. Together they form a unique fingerprint.

  • Cite this