Worst-case design subject to linear parameter uncertainties

1975 ◽  
Vol 20 (1) ◽  
pp. 167-169 ◽  
Author(s):  
J. Pearson
Keyword(s):  
Linear Parameter ◽  
Parameter Uncertainties ◽  
Worst Case ◽  
Case Design

Robust H2 Output Feedback Controller Design for Damping Power System Oscillations

2017 ◽  
Vol 6 (10) ◽  
pp. 8
Author(s):  
Kho Hie Kwee ◽  
Hardiansyah .
Keyword(s):  
Power System ◽  
Output Feedback ◽  
Controller Design ◽  
Sufficient Conditions ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Parameter Uncertainties ◽  
Worst Case ◽  
Output Feedback Controller ◽  
Power System Oscillations

This paper addresses the design problem of robust H2 output feedback controller design for damping power system oscillations. Sufficient conditions for the existence of output feedback controllers with norm-bounded parameter uncertainties are given in terms of linear matrix inequalities (LMIs). Furthermore, a convex optimization problem with LMI constraints is formulated to design the output feedback controller which minimizes an upper bound on the worst-case H2 norm for a range of admissible plant perturbations. The technique is illustrated with applications to the design of stabilizer for a single-machine infinite-bus (SMIB) power system. The LMI based control ensures adequate damping for widely varying system operating.

A Methodology for Worst Case Design of Integrated Circuits

2003 ◽  
pp. 563-566 ◽  
Author(s):  
A. J. Strojwas ◽  
S. R. Nassif ◽  
S. W. Director
Keyword(s):  
Integrated Circuits ◽  
Worst Case ◽  
Case Design

Robust worst-case design for optimizing average performance in OFDM using quantized CSI

2010 ◽  
Author(s):  
Ana B. Rodriguez-Gonzalez ◽  
Luis M. Lopez-Ramos ◽  
Antonio G. Marques ◽  
Javier Ramos ◽  
Antonio J. Caamano
Keyword(s):  
Worst Case ◽  
Average Performance ◽  
Case Design

Predictive self-tuning control by parameter bounding and worst-case design

Automatica ◽  
1993 ◽  
Vol 29 (4) ◽  
pp. 911-928 ◽  
Author(s):  
S.M. Veres ◽  
J.P. Norton
Keyword(s):  
Worst Case ◽  
Self Tuning ◽  
Case Design

The Design of a Robust Weighted Measurement Fusion Steady-State Kalman Filter

2014 ◽  
Vol 701-702 ◽  
pp. 624-629
Author(s):  
Wen Qiang Liu ◽  
Xue Mei Wang ◽  
Zi Li Deng
Keyword(s):  
Kalman Filter ◽  
Steady State ◽  
Lyapunov Equation ◽  
Model Parameters ◽  
Invariant System ◽  
Parameter Uncertainties ◽  
Worst Case ◽  
Uncertain Model ◽  
Time Invariant ◽  
Time Invariant System

For the linear discrete-time multisensor time-invariant system with uncertain model parameters and measurement noise variances, by introducing fictitious noise to compensate the parameter uncertainties, using the minimax robust estimation principle, based on the worst-case conservative multisensor system with conservative upper bounds of measurement and fictitious noises variances, a robust weighted measurement fusion steady-state Kalman filter is presented. By the Lyapunov equation approach, it is proved that when the region of the parameter uncertainties is sufficient small, the corresponding actual fused filtering error variances are guaranteed to have a less-conservative upper bound. Simulation results show the effectiveness and correctness of the proposed results.

Worst Case Design for Robust Compensation

2002 ◽  
Vol 41 (1) ◽  
pp. 278-302
Author(s):  
Shaul Gutman ◽  
Eytan Paldi
Keyword(s):  
Worst Case ◽  
Robust Compensation ◽  
Case Design
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