Communication Dans Un Congrès Année : 2018

Multi-objective nonlinear observer design using BMIs

Résumé

This paper applies a nonconvex bilinear matrix inequality (BMI) based approach to design a nonlinear observer that satisfies multiple performance criteria simultaneously. First, the feasibility analysis of the BMI constraint is transformed into an eigenvalue problem and the convex-concave based sequential LMI optimization method is applied to search for a feasible solution. Then, the design of the nonlinear observer is formulated as a BMI feasibility problem where the estimation error dynamics is transformed into a Lure system with a sector condition constructed from the element-wise bounds on the Jacobian matrix of the nonlinearities. Finally, a numerical example is presented to demonstrate the applicability of the proposed algorithm.

Fichier non déposé

Dates et versions

hal-01742234 , version 1 (24-03-2018)

Identifiants

  • HAL Id : hal-01742234 , version 1

Citer

Yan Wang, Rajesh Rajamani, Ali Zemouche. Multi-objective nonlinear observer design using BMIs . American Control Conference, ACC 2018, Jun 2018, Milwaukee, WI, United States. ⟨hal-01742234⟩
125 Consultations
0 Téléchargements

Partager

  • More