Sampled-data adaptive control of linear continuous switched systems with stochastic disturbance

Feng LIU; Y. D. SONG; Xiaoping MA

Sampled-data adaptive control of linear continuous switched systems with stochastic disturbance

Feng LIU^*
, Y. D. SONG
, Xiaoping MA

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

This paper studies the optimal control problem of sampled-data based control of linear continuous switched systems with stochastic disturbance. The system under consideration is assumed to experience model switching consistently with unknown switching process. When the sampled step is small, adaptive estimation algorithm is derived and integrated with sampled feedback for control design. Moreover, there is little difference between conventional whole process state based LQ control and sampled data based LQ control, and the upper bound of error is obtained in this paper. © 2012 Chinese Assoc of Automati.

Original language	English
Title of host publication	Proceedings of the 31st Chinese Control Conference, CCC 2012
Publisher	IEEE
Pages	1479-1483
Number of pages	5
ISBN (Electronic)	9789881563811
ISBN (Print)	9781467325813
Publication status	Published - 1 Dec 2012
Externally published	Yes
Event	31st Chinese Control Conference, CCC 2012 - Hefei, China Duration: 25 Jul 2012 → 27 Jul 2012

Conference

Conference	31st Chinese Control Conference, CCC 2012
Country/Territory	China
City	Hefei
Period	25/07/12 → 27/07/12

Keywords

adaptive identification
optimal control
sampled data based adaptive control
Switched system

Cite this

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title = "Sampled-data adaptive control of linear continuous switched systems with stochastic disturbance",

abstract = "This paper studies the optimal control problem of sampled-data based control of linear continuous switched systems with stochastic disturbance. The system under consideration is assumed to experience model switching consistently with unknown switching process. When the sampled step is small, adaptive estimation algorithm is derived and integrated with sampled feedback for control design. Moreover, there is little difference between conventional whole process state based LQ control and sampled data based LQ control, and the upper bound of error is obtained in this paper. {\textcopyright} 2012 Chinese Assoc of Automati.",

keywords = "adaptive identification, optimal control, sampled data based adaptive control, Switched system",

author = "Feng LIU and SONG, \{Y. D.\} and Xiaoping MA",

year = "2012",

month = dec,

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language = "English",

isbn = "9781467325813",

pages = "1479--1483",

booktitle = "Proceedings of the 31st Chinese Control Conference, CCC 2012",

publisher = "IEEE",

note = "31st Chinese Control Conference, CCC 2012 ; Conference date: 25-07-2012 Through 27-07-2012",

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TY - GEN

T1 - Sampled-data adaptive control of linear continuous switched systems with stochastic disturbance

AU - LIU, Feng

AU - SONG, Y. D.

AU - MA, Xiaoping

PY - 2012/12/1

Y1 - 2012/12/1

N2 - This paper studies the optimal control problem of sampled-data based control of linear continuous switched systems with stochastic disturbance. The system under consideration is assumed to experience model switching consistently with unknown switching process. When the sampled step is small, adaptive estimation algorithm is derived and integrated with sampled feedback for control design. Moreover, there is little difference between conventional whole process state based LQ control and sampled data based LQ control, and the upper bound of error is obtained in this paper. © 2012 Chinese Assoc of Automati.

AB - This paper studies the optimal control problem of sampled-data based control of linear continuous switched systems with stochastic disturbance. The system under consideration is assumed to experience model switching consistently with unknown switching process. When the sampled step is small, adaptive estimation algorithm is derived and integrated with sampled feedback for control design. Moreover, there is little difference between conventional whole process state based LQ control and sampled data based LQ control, and the upper bound of error is obtained in this paper. © 2012 Chinese Assoc of Automati.

KW - adaptive identification

KW - optimal control

KW - sampled data based adaptive control

KW - Switched system

UR - https://www.scopus.com/pages/publications/84873542245

M3 - Conference paper (refereed)

AN - SCOPUS:84873542245

SN - 9781467325813

SP - 1479

EP - 1483

BT - Proceedings of the 31st Chinese Control Conference, CCC 2012

PB - IEEE

T2 - 31st Chinese Control Conference, CCC 2012

Y2 - 25 July 2012 through 27 July 2012

ER -

Sampled-data adaptive control of linear continuous switched systems with stochastic disturbance

Abstract

Conference

Keywords

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