|Table of Contents|

H2/H Control for Discrete-time Singularly Perturbed Systems

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2011年02期
Page:
236-239
Research Field:
Publishing date:

Info

Title:
H2/H Control for Discrete-time Singularly Perturbed Systems
Author(s):
CAI Chen-xiaoMEI PingZOU Yun
School of Automation,NUST,Nanjing 210094,China
Keywords:
discrete-time singularly perturbed systems linear matrix inequality H2/H control
PACS:
TP13
DOI:
-
Abstract:
In terms of a fast sampling model,a necessary and sufficient condition for the stability of the system is obtained,and the suitable state feedback control law and upper bound of parameter ε are also given by the linear matrix inequality method.The proposed results can be applied to a slow sampling singularly perturbed model and a general system in which the slow and fast dynamics is not obvious.An example is worked out to illustrate the effect of the method.

References:

[1] Yao X,Higuichi T. Promises and challenges of evolvable hardware[J]. IEEE Trans on Systems,Man and Cybernetics - Part C: Applications and Reviews,2005, 14( 3) : 549 - 553.
[2] Thompson A,Layzell P,Zebulum R S. Explorations in design space: Unconventional electronics design through artificial evolution[J]. IEEE Trans on Evolutionary Computation, 1999,3 ( 3) : 167 -196.
[3] Coello C A,Christiansen A D. Use of evolutionary techniques to automate the design of combinational circuits [J]. International Journal of Smart Engineering System Design, 2000,2 ( 4) : 299 - 314.
[4] 王小平,曹立民. 遗传算法: 理论、应用与软件实现 [M]. 西安: 西安交通大学出版社,2002.
[5] Zhao S G,Yang W H. Intrinsic hardware evolution based on a prototype of function level FPGA[J]. Chinese Journal of Computers, 2002, 25( 6) : 666 - 669.
[6] Miller J F, Job D,Vassilev V K. Principles in the evolutionary design of digital circuits—Part 1[J]. Genetic Programming and Evolvable Machines, 2000,1 ( 1) : 8 -35.
[7] 赵曙光,刘贵喜,王军宁,等. 基于自适应遗传算法 的模拟电路自动设计方法[J]. 电子学报,2004,32 ( 4) : 680 - 683.
[8] Stomeo E,Kalganova T,Lambert C. Generalisec disjunction decomposition for evolvable hardware[J]. IEEE Trans on Systems,Man and Cybernetics - Part C: Applications and Reviews, 2006, 36( 5) :1024 -1043.
[9] Miller J F,Smith S L. Redundancy and computational efficiency in cartesian genetic programming[J]. IEEE Trans on Evolutionary Computation,2006,10( 2) : 167 - 174. 244

Memo

Memo:
-
Last Update: 2012-04-30