An LMI-based approach to the design of super-twisting observers with application to a lipase production process from olive oil by Candida rugosa

被引：0

作者：

Letchindjio, Christian G. Feudjio ^{[1
]}

Coutinho, Daniel ^{[2
]}

Vargas, Alejandro ^{[3
]}

Vande Wouwer, Alain ^{[1
]}

机构：

[1] Univ Mons, Automat Control Lab, Mons, Belgium

[2] Univ Fed Santa Catarina, Dept Automat & Syst, Florianopolis, SC, Brazil

[3] Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City, DF, Mexico

来源：

2018 22ND INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) | 2018年

关键词：

state estimation; sliding mode observers; robust control; LMIs; biotechnology; REACTION-RATES; KINETIC RATES; STATE;

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：

This paper presents a systematic methodology for designing super-twisting observers. Thanks to a state transformation, the estimation error dynamics can be cast in a Linear Parameter Varying (LPV) framework and a design procedure based on LMIs can be developed ensuring practical stability and finite time convergence. This approach is applied to the design of 3 super-twisting observers for estimating the reaction rates in a lipase production process from olive oil by Candida rugosa. The estimated rates can be used in an asymptotic observer to reconstruct the component concentrations.

引用

页码：360 / 365

页数：6