A Data-Based State Feedback Control Method for a Class of Nonlinear Systems

Author

Zhuo Wang ; Derong Liu

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA

Volume

9

Issue

4

fYear

2013

fDate

Nov. 2013

Firstpage

2284

Lastpage

2292

Abstract

In this paper, a data-based state feedback control method is developed for a class of nonlinear systems. It is a real-time control method, which requires little prior knowledge about the system dynamics, and does not need to know or to build the mathematical model of the system. We apply a fast sampling technique to sample the state signal, which contains useful information of the system. The zero-order hold (ZOH) and the control switch are also used to obtain system information. The feedback gain matrix is calculated and adjusted according to these sampled data. Theoretical analysis on the convergence and simulation results demonstrate the feasibility of this data-based control method.

Keywords

matrix algebra; nonlinear control systems; sampled data systems; signal sampling; state feedback; time-varying systems; ZOH; control switch; data-based state feedback control method; fast sampling technique; feedback gain matrix; mathematical model; nonlinear systems; real-time control method; state signal sampling; system dynamics; system information; zero-order hold; Mathematical model; Nonlinear dynamical systems; Real-time systems; State feedback; Switches; Control switch; data-based state feedback control; fast sampling technique; nonlinear systems; real-time control; sampled state data; zero-order hold;

fLanguage

English

Journal_Title

Industrial Informatics, IEEE Transactions on

Publisher

ieee

ISSN

1551-3203

Type

jour

DOI

10.1109/TII.2012.2227266

Filename

6353208