2013
DOI: 10.1109/tcsi.2012.2215777
|View full text |Cite
|
Sign up to set email alerts
|

Stabilization of Discrete-Time Systems With Multiple Actuator Delays and Saturations

Abstract: This paper studies the problems of global and semi-global stabilization of discrete-time linear systems with multiple input saturations and arbitrarily large bounded delays. By developing the methodology of truncated predictor feedback (TPF), state feedback control laws using only the current states of the systems are constructed to solve these problems. The feedback gains are dependent on the delay information of the open-loop system and thus are referred to as delay-dependent feedback. A method for determini… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
19
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 53 publications
(24 citation statements)
references
References 39 publications
0
19
0
Order By: Relevance
“…Some interesting problems remained as follows: (i) Some semi-global results such as [20][21][22] on the systems with input delay have been obtained, but these papers only consider linear systems; a problem is: can these results be extended to nonlinear systems with unknown input delay and output function? (ii) Recently, many results on stochastic nonlinear systems with y D x 1 , for example, [23][24][25][26][27][28][29][30][31][32][33][34], have been achieved; the second problem is whether some results can be obtained for stochastic nonlinear systems with unknown output function.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Some interesting problems remained as follows: (i) Some semi-global results such as [20][21][22] on the systems with input delay have been obtained, but these papers only consider linear systems; a problem is: can these results be extended to nonlinear systems with unknown input delay and output function? (ii) Recently, many results on stochastic nonlinear systems with y D x 1 , for example, [23][24][25][26][27][28][29][30][31][32][33][34], have been achieved; the second problem is whether some results can be obtained for stochastic nonlinear systems with unknown output function.…”
Section: Discussionmentioning
confidence: 99%
“…Assumption 1 contains more general nonlinearities which permit linear and high-order nonlinear time-delay terms. While [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] only consider nonlinear systems without time delay, [20][21][22] only consider linear time-delay systems.…”
Section: Remarkmentioning
confidence: 99%
“…The stability analysis in [33] was then significantly simplified in [32] by designing F as (35). The underlying mechanism in the previous low gain feedback design in [33] and [32] was latterly revealed in [28] by establishing a general methodology referred to as truncated predictor feedback (TPF), which was originally proposed in [23] for continuous-time time-delay systems (for TPF for continuous-time time-delay systems, see [23] and p. 14 in [30] for detailed introduction). The idea of TPF is that, as long as F satisfies (33), the memory terms in the traditional predictor feedback (4) are a high-order infinitesimal and can be dropped out to result in a finite dimensional controller.…”
Section: Assumptionmentioning
confidence: 99%
“…The resulting controller is also finite dimensional and is thus easy to implement.We consider stabilization problems of discrete-time linear systems with a single input delay. Discrete-time systems have received considerable attention in the literature because of their wide applications in engineering with the development of computer techniques ([8, 14, 25-27] and [28]). The aim of the present paper is to extend the results in [24] to discrete-time setting.…”
mentioning
confidence: 99%
“…Delays and control constraints are ubiquitous in practical systems. 1,2 Ignoring time delays/constraints in the design of circuits and systems will degrade the system performances and may even lead to instability. For this reason, research interest on these two topics has increased over the past two decades.…”
Section: Introductionmentioning
confidence: 99%