Predictive control for discrete-time system with nonlinearity and multiple missing measurements

Author

Yujing Shi ; Shanqiang Li ; Junfeng Wu

Author_Institution

Dept. of Appl. Math., Harbin Univ. of Sci. & Technol., Harbin, China

fYear

2014

Firstpage

539

Lastpage

543

Abstract

In this paper, we discuss the predictive control problem for discrete-time system with nonlinearity and multiple missing measurements. A series of mutually independent random variables satisfying certain probabilistic distribution is used to model the multiple missing-measurements. We introduce a new strategy to compensate the negative effects from the missing measurements. The aim is to investigate the controller synthesis based on the predictive control idea. It is shown that the proposed predictive design method can achieve the desired performance requirements of the closed-loop system. Finally, we provide a simulation to illustrate the feasibility of the designed control algorithm.

Keywords

compensation; control nonlinearities; control system synthesis; discrete time systems; predictive control; random processes; statistical distributions; closed-loop system; controller synthesis; discrete-time system; multiple missing measurements; mutually independent random variables; nonlinearity; predictive controller design method; probabilistic distribution; Discrete-time systems; Filtering; Predictive control; Random variables; Robustness; Stability analysis; Stochastic processes; Predictive control; multiple missing measurements; stochastic stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Control (ICMC), 2014 International Conference on

Print_ISBN

978-1-4799-2537-7

Type

conf

DOI

10.1109/ICMC.2014.7231614

Filename

7231614