A limited-memory BFGS-based differential evolution algorithm for optimal control of nonlinear systems with mixed control variables and probability constraints

In this paper, we consider an optimal control problem of nonlinear systems with mixed control variables and probability constraints. To obtain a numerical solution of this optimal control problem, our target is to formulate this problem as a constrained nonlinear parameter optimization problem (CNPO...

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Bibliographic Details
Published in:	Numerical algorithms Vol. 93; no. 2; pp. 493 - 542
Main Authors:	Wu, Xiang, Zhang, Kanjian
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2023 Springer Nature B.V
Subjects:	Adaptive algorithms Adaptive sampling Algebra Algorithms Approximation Chemotherapy Computer Science Constraints Control systems Convergence Dynamic programming Evolutionary algorithms Evolutionary computation Methods Nonlinear control Nonlinear systems Numeric Computing Numerical Analysis Optimal control Optimization Original Paper Parameterization Parameters Partial differential equations Robustness (mathematics) Theory of Computation Variables Differential evolution algorithm Nonlinear systems Optimal control Probability constraints Mixed control variables Limited memory BFGS method
ISSN:	1017-1398, 1572-9265
Online Access:	Get full text
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