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
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
DOI :
10.1109/ICICIP.2012.6391430
