Lin, Qiao; Wei, Qinglai; Zhao, Bo Optimal control for discrete-time systems with actuator saturation. (English) Zbl 1386.90164 Optim. Control Appl. Methods 38, No. 6, 1071-1080 (2017). Summary: In this study, we use generalized policy iteration approximate dynamic programming (ADP) algorithm to design an optimal controller for a class of discrete-time systems with actuator saturation. A integral function is proposed to manage the saturation nonlinearity in actuators and then the generalized policy iteration ADP algorithm is developed to deal with the optimal control problem. Compared with other algorithm, the developed ADP algorithm includes 2 iteration procedures. In the present control scheme, 2 neural networks are introduced to approximate the control law and performance index function. Furthermore, numerical simulations illustrate the convergence and feasibility of the developed method. Cited in 6 Documents MSC: 90C39 Dynamic programming 93C55 Discrete-time control/observation systems 93C10 Nonlinear systems in control theory Keywords:approximate dynamic programming; discrete time; generalized policy iteration; optimal control; saturating actuators PDFBibTeX XMLCite \textit{Q. Lin} et al., Optim. Control Appl. Methods 38, No. 6, 1071--1080 (2017; Zbl 1386.90164) Full Text: DOI