An open-closed-loop iterative learning control approach for nonlinear switched systems with application to freeway traffic control

作者：Sun, Shu Ting; Li, Xiao Dong^*; Zhong, Ren Xin

来源：International Journal of Systems Science, 2017, 48(13): 2752-2763.

DOI：10.1080/00207721.2017.1346153

• Freeway traffic
• iterative learning control (ILC)
• input constraints
• nonlinear switched discrete-time systems

For nonlinear switched discrete-time systems with input constraints, this paper presents an open-closed-loop iterative learning control (ILC) approach, which includes a feedforward ILC part and a feedback control part. Under a given switching rule, the mathematical induction is used to prove the convergence of ILC tracking error in each subsystem. It is demonstrated that the convergence of ILC tracking error is dependent on the feedforward control gain, but the feedback control can speed up the convergence process of ILC by a suitable selection of feedback control gain. A switched freeway traffic system is used to illustrate the effectiveness of the proposed ILC law.

• 出版日期2017
• 单位中山大学