z-logo
Premium
State‐bounding observer design for uncertain positive systems under ℓ 1 performance
Author(s) -
Chen Xiaoming,
Chen Mou,
Shen Jun
Publication year - 2017
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2360
Subject(s) - bounding overwatch , positive systems , observer (physics) , control theory (sociology) , interval (graph theory) , lyapunov function , linear programming , mathematics , state (computer science) , mathematical optimization , function (biology) , state observer , linear system , computer science , nonlinear system , algorithm , artificial intelligence , physics , control (management) , quantum mechanics , mathematical analysis , combinatorics , evolutionary biology , biology
Summary This paper investigates the ℓ 1 ‐induced positive observer design problem for uncertain positive systems. First, we present the ℓ 1 ‐induced performance indicator for positive systems, which fits well into the linear Lyapunov function. Then, a novel ℓ 1 ‐induced performance characterization is developed for uncertain positive systems. Furthermore, a linear programming–based method is proposed to solve the ℓ 1 ‐induced positive observer synthesis problem for positive systems with interval uncertainties. A pair of positive state‐bounding observers is designed to estimate the state of uncertain positive systems. Finally, we provide a numerical example to demonstrate the validity and efficiency of the derived methods.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom