Iterative Learning Control for a Class of Mixed Hyperbolic-parabolic Distributed Parameter Systems

作者：Fu, Qin^*; Gu, Wei-Guo; Gu, Pan-Pan; Wu, Jian-Rong

来源：International Journal of Control Automation and Systems, 2016, 14(6): 1455-1463.

DOI：10.1007/s12555-015-0256-z

• Hyperbolic-parabolic partial differential equations
• iterative learning control
• L-2 space
• mixed distributed parameter systems
• P-type learning scheme

This paper deals with the problem of iterative learning control algorithm for a class of mixed distributed parameter systems. Here, the considered distributed parameter systems are composed of mixed hyperbolic parabolic partial differential equations. The domain of the system is divided into two parts in which the system is hyperbolic and parabolic, respectively, with transmission conditions at the interface. According to the characteristics of the systems, iterative learning control laws are proposed for such mixed hyperbolic-parabolic distributed parameter systems based on P-type learning scheme. Using the contraction mapping method, it is shown that the scheme can guarantee the output tracking errors on L-2 space converge along the iteration axis. A simulation example illustrates the effectiveness of the proposed method.

• 出版日期2016-12
• 单位苏州科技大学