A symplectic local pseudospectral method for solving nonlinear state‐delayed optimal control problems with inequality constraints

DOI10.1002/rnc.4003zbMath1390.49042OpenAlexW2773034494MaRDI QIDQ4644151

Hai-Jun Peng, Sheng Zhang, Wan-xie Zhong, Xin-Wei Wang, Biao-Song Chen

Publication date: 30 May 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4003

zbMATH Keywords

nonlinear optimal control inequality constraints symplectic state-delayed system quasi-linearization psuedospectral method the dual variational principle

Mathematics Subject Classification ID

Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Variable structure systems (93B12) Transformations (93B17) Linear-quadratic optimal control problems (49N10) Duality theory (optimization) (49N15)

Related Items (5)

A robust pseudospectral method for numerical solution of nonlinear optimal control problems ⋮ An iterative framework to solve nonlinear optimal control with proportional delay using successive convexification and symplectic multi-interval pseudospectral scheme ⋮ Successive Chebyshev pseudospectral convex optimization method for nonlinear optimal control problems ⋮ Mathematical analysis of a human papillomavirus transmission model with vaccination and screening ⋮ A symplectic pseudospectral method for constrained time-delayed optimal control problems and its application to biological control problems

This page was built for publication: A symplectic local pseudospectral method for solving nonlinear state‐delayed optimal control problems with inequality constraints