An improved iterative algorithm for solving optimal tracking control problems of stochastic systems-Reference-Cited by-同舟云学术

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An improved iterative algorithm for solving optimal tracking control problems of stochastic systems

Published:2023-11 Issue: Volume:213 Page:515-526
ISSN:0378-4754
Container-title:Mathematics and Computers in Simulation
language:en
Short-container-title:Mathematics and Computers in Simulation

Author:

Xing Shuangyun^ORCID,Liu Yifan^ORCID,Liu Da-Yan^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Department of Education of Liaoning Province

Liaoning Revitalization Talents Program

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference39 articles.

1. A new intervention strategy for an HIV/AIDS transmission by a general fractional modelling and an optimal control approach;Baleanu;Chaos Solitons Fractals,2023

2. Neural-network-based stochastic linear quadratic optimal tracking control scheme for unknown discrete-time systems using adaptive dynamic programming;Chen;J. Contr. the. Tech.,2019

3. Using the Bees Algorithm to select the optimal speed parameters for wind turbine generators;Fahmy;J. King Saud Univ.-Comput. Inform. Sci.,2012

4. Solution of the state noise dependent optimal control problem in terms of Lyapunov iterations;Gajic,1998

5. On a Newton-like method for solving algebraic Riccati equations;Guo;SIAM J. Matrix Anal. Appl.,2000

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