2013
DOI: 10.1016/j.automatica.2013.05.002
|View full text |Cite
|
Sign up to set email alerts
|

Composite anti-disturbance control for Markovian jump nonlinear systems via disturbance observer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
144
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 221 publications
(144 citation statements)
references
References 33 publications
0
144
0
Order By: Relevance
“…A great number of results related to such systems have been reported in the literature. For example, stability and stabilization have been studied in [8][9][10][11][12][13][14][15], H 2 and H ∞ control have been discussed in [16][17][18], and observer design and observer-based control have been considered in [19][20][21]. For more details regarding such systems, the published monographs [2,5] provide excellent tutorials.…”
Section: Introductionmentioning
confidence: 99%
“…A great number of results related to such systems have been reported in the literature. For example, stability and stabilization have been studied in [8][9][10][11][12][13][14][15], H 2 and H ∞ control have been discussed in [16][17][18], and observer design and observer-based control have been considered in [19][20][21]. For more details regarding such systems, the published monographs [2,5] provide excellent tutorials.…”
Section: Introductionmentioning
confidence: 99%
“…By applying the controller (6) to the system (S 0 ) and combining with (30), we obtain the following augmented closed-loop system (S clu )…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
“…In order to enhance the control accuracy of systems with multiple disturbances, composite hierarchical anti-disturbance control (CHADC) strategies are proposed in Guo and Cao. 28 The main idea of CHADC is that a disturbance observer is designed to estimate disturbances generated by an exogenous system, and the disturbance estimation used in feedforward compensation plus conventional feedback control methods, such as H ' control, 29,30 sliding mode control [31][32][33] and adaptive control, 34,35 is employed to attenuate other types of disturbances. However, the exogenous system is described by a linear system with a linear output function in the existing results of CHADC theories.…”
Section: Introductionmentioning
confidence: 99%
“…A great number of realistic dynamical systems can be modeled by MJSs, such as chemical processes, communication networks, aerospace industry, and economics systems, etc. Due to MJS's great application potential in a variety of engineering, a great amount of effort has been devoted to address various control and filtering problems of MJS in the past decades [18], [8]. In particular, some researchers have attempted to investigate the aforementioned network-based control and sliding mode control problems for MJS, and some preliminary results have been obtained [17].…”
Section: Introductionmentioning
confidence: 99%