A novel input design approach for systems with quantized output data

被引：0
|
作者：
Godoy, Boris I. [1 ]
Valenzuela, Patricio E. [2 ,3 ]
Rojas, Cristian R. [2 ,3 ]
Agueero, Juan C. [1 ]
Ninness, Brett [1 ]
机构：
[1] Univ Newcastle, Ctr Complex Dynam Syst & Control, Callaghan, NSW 2308, Australia
[2] KTH Royal Inst Technol, Sch Elect Engn, Automat Control Lab, SE-10044 Stockholm, Sweden
[3] KTH Royal Inst Technol, Sch Elect Engn, ACCESS Linnaeus Ctr, SE-10044 Stockholm, Sweden
来源：
2014 EUROPEAN CONTROL CONFERENCE (ECC) | 2014年
关键词：
IDENTIFICATION; LOOP;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we explore the problem of input design for systems with quantized measurements. For the input design problem, we calculate and optimize a function of the Fisher Information Matrix (FIM). The calculation of the FIM is greatly simplified by using known relationships of the derivative of the likelihood function, and the auxiliary function arising from the Expectation Maximization (EM) algorithm. To optimize the FIM, we design an experiment using a recently published method based on graph theory. A numerical example shows that the proposed experiment can be successfully used in quantized systems.
引用
收藏
页码：1049 / 1054
页数：6
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