DocumentCode
582892
Title
Heuristic dynamic programming-based H∞ control of discrete-time affine nonlinear systems
Author
Li, Hongliang ; Liu, Derong ; Wang, Ding
Author_Institution
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
fYear
2012
fDate
15-17 July 2012
Firstpage
331
Lastpage
335
Abstract
In this paper, we solve the H∞ control problems for discrete-time affine nonlinear systems with known dynamics. An iterative heuristic dynamic programming algorithm is derived and the convergence analysis is provided. Three neural networks are used to approximate the control policy, the disturbance policy, and the value function, respectively. A simulation example is presented to demonstrate the effectiveness of the proposed scheme.
Keywords
H∞ control; approximation theory; convergence of numerical methods; discrete time systems; dynamic programming; heuristic programming; iterative methods; neurocontrollers; nonlinear control systems; control policy approximation; convergence analysis; discrete-time affine nonlinear systems; disturbance policy approximation; iterative heuristic dynamic programming-based H∞ control; neural networks; value function approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-2144-1
Type
conf
DOI
10.1109/ICICIP.2012.6391430
Filename
6391430
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