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 ◽

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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 ◽

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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 ◽

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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 ◽

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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 ◽

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Optimal filter design subject to output sidelobe constraints: Theoretical considerations

Journal of Optimization Theory and Applications ◽

10.1007/bf00932939 ◽

1974 ◽

Vol 14 (2) ◽

pp. 179-197 ◽

Author(s):

T. E. Fortmann ◽

M. Athans

Keyword(s):

Filter Design ◽

Optimal Filter ◽

Theoretical Considerations ◽

Sidelobe Constraints

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A simple approach to direct LPV filter design from data for nonlinear systems

IFAC Proceedings Volumes ◽

10.3182/20090706-3-fr-2004.00057 ◽

2009 ◽

Vol 42 (10) ◽

pp. 348-353

Author(s):

C. Novara ◽

F. Ruiz ◽

M. Milanese

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Simple Approach

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Distributed Robust Optimal Filter Design Over Sensor Networks With Data Packet Dropouts

2019 IEEE 58th Conference on Decision and Control (CDC) ◽

10.1109/cdc40024.2019.9029456 ◽

2019 ◽

Author(s):

Yu Feng ◽

Zhuoming Chen

Keyword(s):

Sensor Networks ◽

Filter Design ◽

Optimal Filter ◽

Data Packet ◽

Packet Dropouts

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Robust Linear $H_{\infty}$ Filter Design for a Class of Uncertain Nonlinear Systems: An LMI Approach

SIAM Journal on Control and Optimization ◽

10.1137/060669504 ◽

2009 ◽

Vol 48 (3) ◽

pp. 1452-1472 ◽

Author(s):

Daniel F. Coutinho ◽

Carlos E. de Souza ◽

Karina A. Barbosa ◽

Alexandre Trofino

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Uncertain Nonlinear Systems ◽

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The H∞ resilient filter design for a class of Lipschitz nonlinear systems

2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac.2017.7967455 ◽

2017 ◽

Author(s):

W. Z. Lyu ◽

C. C. Ren ◽

S. P. He

Keyword(s):

Nonlinear Systems ◽

Filter Design ◽

Lipschitz Nonlinear Systems

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Optimal filter design and switching loss reduction in grid connected inverter system

2013 Students Conference on Engineering and Systems (SCES) ◽

10.1109/sces.2013.6547539 ◽

2013 ◽

Author(s):

Naga Sowmya Tontepu ◽

D. Marandi ◽

B. Chitti Babu

Keyword(s):

Filter Design ◽

Optimal Filter ◽

Loss Reduction ◽

Switching Loss ◽

Grid Connected Inverter

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