A new approach to optimal filter design for nonlinear systems

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5400948 ◽

2009 ◽

Author(s):

C. Novara ◽

F. Ruiz ◽

M. Milanese

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Optimal Filter ◽

Download Full-text

Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.2012.2204160 ◽

2013 ◽

Vol 58 (1) ◽

pp. 86-99 ◽

Author(s):

Carlo Novara ◽

Fredy Ruiz ◽

Mario Milanese

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Optimal Filter ◽

Download Full-text

A new approach to optimal filter design for nonlinear systems

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.01476 ◽

2011 ◽

Vol 44 (1) ◽

pp. 11453-11458

Author(s):

C. Novara ◽

F. Ruiz ◽

M. Milanese

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Optimal Filter ◽

Download Full-text

Robustly optimal filter design for nonlinear systems

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2012.6426554 ◽

2012 ◽

Author(s):

C. Novara ◽

F. Ruiz ◽

M. Milanese

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Download Full-text

A new approach for the solution of the optimal set-point tracking problem for nonlinear systems

International Conference on Control '94 ◽

10.1049/cp:19940244 ◽

1994 ◽

Author(s):

V.M. Becerra

Keyword(s):

Nonlinear Systems ◽

Tracking Problem ◽

New Approach ◽

Set Point ◽

Point Tracking ◽

Download Full-text

A New Approach for Nonlinear Transformation of Means and Covariances in Direct Statistical Analysis of Nonlinear Systems

IEEE Access ◽

10.1109/access.2021.3083185 ◽

2021 ◽

pp. 1-1

Author(s):

Quancheng Li ◽

Yonghua Fan ◽

Hongyang Xu ◽

Xuechao Liang ◽

Jie Yan

Keyword(s):

Statistical Analysis ◽

Nonlinear Systems ◽

Nonlinear Transformation ◽

Download Full-text

A new approach for modeling and control of MIMO nonlinear systems

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) ◽

10.1109/tencon.2000.892315 ◽

2002 ◽

Author(s):

S. Munzir ◽

H.M. Mohamed ◽

M.Z. Abdulmuin

Keyword(s):

Nonlinear Systems ◽

New Approach ◽

Modeling And Control ◽

Mimo Nonlinear Systems ◽

Download Full-text

A new approach for quasi-LPV modeling and state-feedback control of nonlinear systems with application on a 5-DOF pendulum

2021 American Control Conference (ACC) ◽

10.23919/acc50511.2021.9483001 ◽

2021 ◽

Author(s):

Gabriel P. Neves ◽

Fabio Y. Toriumi ◽

Bruno A. Angelico ◽

Ricardo C. L. F. Oliveira

Keyword(s):

Feedback Control ◽

Nonlinear Systems ◽

State Feedback ◽

State Feedback Control ◽

Download Full-text

A new approach for stabilizing nonlinear systems with time delay

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7075891 ◽

2001 ◽

Author(s):

Donghai Lin ◽

Meng Joo Er

Keyword(s):

Nonlinear Systems ◽

Download Full-text

Adaptive Filter Design for FDI in Nonlinear Systems Based on Multiple Model Approach

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)36565-5 ◽

2003 ◽

Vol 36 (5) ◽

pp. 645-650 ◽

Author(s):

D. Theilliol ◽

M. Rodrigues ◽

M. Adam-Medina ◽

D. Sauter

Keyword(s):

Nonlinear Systems ◽

Adaptive Filter ◽

Filter Design ◽

Multiple Model ◽

Download Full-text

New approach to finite frequency Filter Design for two-dimensional T-S fuzzy systems

E3S Web of Conferences ◽

10.1051/e3sconf/202129701036 ◽

2021 ◽

Vol 297 ◽

pp. 01036

Author(s):

Ben Meziane Khaddouj ◽

Abderrahim El-Amrani ◽

Ismail Boumhidi

Keyword(s):

Fuzzy Systems ◽

Filter Design ◽

Asymptotically Stable ◽

Two Dimensional ◽

Finite Frequency ◽

New Approach ◽

Filter Model ◽

Error System ◽

Non Linear Systems ◽

This paper considers the problem of filter design for two-dimensional (2D) discrete-time non-linear systems in Takagi-Sugeno (T-S) fuzzy mode. The problem to be solved in the paper is to find a H∞ filter model such that the filtering error system is asymptotically stable. A numerical example is employed to illustrate the validity of the proposed methods.

Download Full-text