Suppression of bounded exogenous disturbances: Output feedback

Authors:
B. T. Polyak;M. V. Topunov
Affiliations:
Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia;Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Venue:
Automation and Remote Control
Year:
2008

Citing 1
Cited 11

Convexity of quadratic transformations and its use in control and optimization

Journal of Optimization Theory and Applications

Output linear controller for a class of nonlinear systems using the invariant ellipsoid technique

ACC'09 Proceedings of the 2009 conference on American Control Conference
Indirect measurements-based compensation of disturbances at control of a linear plant

Automation and Remote Control
A nonfragile controller for suppressing exogenous disturbances

Automation and Remote Control
Robust linear object control by indirect measurements

Automation and Remote Control
Using the method of invariant ellipsoids for linear robust output stabilization of spacecraft

Automation and Remote Control
Suppression of bounded exogenous disturbances: A linear dynamic output controller

Automation and Remote Control
Synthesis of a suboptimal controller by output for dampening limited disturbances

Automation and Remote Control
Brief paper: Invariant ellipsoid method for minimization of unmatched disturbances effects in sliding mode control

Automatica (Journal of IFAC)
The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance

Automation and Remote Control
Designing adaptive control in the problem of optimal damping of perturbations

Automation and Remote Control
Nonmodeled dynamics and precision of control systems

Automation and Remote Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper was devoted to rejection of bounded exogenous disturbances and considered design of the static output feedback minimizing the invariant ellipsoids of the dynamic system. The problems of control analysis and design come to the equivalent conditions in the form of linear matrix inequalities and to the problem of semidefinite programming. The state estimate obtained using the Luenberger observer was used at that.