2-D ANALYSIS BASED ITERATIVE LEARNING CONTROL FOR LINEAR DISCRETE-TIME SYSTEMS WITH TIME DELAY Academic Article

abstract

• This paper investigates an iterative learning controller for linear discrete-time systems with state delay based on two-dimensional (2-D) system theory. It shall be shown that a 2-D linear discrete Roessor's model can be applied to describe the ILC process of linear discrete time-delay systems. Much less restrictive conditions for the convergence of the proposed learning rules are derived. A learning algorithm is presented which provides much more effective learning of control input, which enables us to obtain a control input to drive the system output to the desired trajectory quickly. Numerical examples are included to illustrate the performance of the proposed control procedures.

authors

• Huang, Tingwen

published proceedings

• JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION

author list (cited authors)

• Li, C., Ma, F., & Huang, T.

citation count

• 2

complete list of authors

• Li, Chuandong||Ma, Fali||Huang, Tingwen

publication date

• February 2011

publisher

• American Institute of Mathematical Sciences (AIMS)  Publisher

published in

• Journal of Industrial and Management Optimization  Journal

keywords

• 2-d System Theory
• Iterative Learning Control
• Linear Discrete System
• Time Delay

Digital Object Identifier (DOI)

• 10.3934/jimo.2011.7.175

start page

• 175

end page

• 181

volume

• 7

issue

• 1

URL

• http://dx.doi.org/10.3934/jimo.2011.7.175