Results 221 to 230 of about 1,487,845 (265)

Randomized algorithms in robust control

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
The probabilistic approach to analysis and design of robust control systems is an emerging philosophy that gained increasing interest in the past. Opposed to the so-far dominating paradigm of deterministic worst-case robustness, the probabilistic approach presents itself as a natural tool to deal with the random character of uncertainties affecting ...
G Calafiore, F Dabbene, R Tempo
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Robust Control

2022
Discover efficient methods for designing robust control systems. In Robust Control: Youla Parameterization Approach, accomplished engineers Dr. Farhad Assadian and Kevin R. Mallon deliver an insightful treatment of robust control system design that does not require a theoretical background in controls.
Farhad Assadian, Kevin R. Mallon
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Robustness of adaptive control of robots

Journal of Intelligent and Robotic Systems, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghorbel, F., Spong, M. W.
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High-Gain Robust Control

European Journal of Control, 1999
The main idea of the paper is to use some extra information about linear time-invariant SISO systems with uncertainty to design a robustly stable control system without gain adaptation. The line of reasoning is based on the high-gain controller theory under [see e.g. \textit{M. V. Meerov}, Avtom. Telemekh.
Yakov Z. Tsypkin, Boris T. Polyak
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Robustness of an adaptive predictive controller

IEEE Transactions on Automatic Control, 1994
Summary: In this correspondence, robustness properties of an adaptive predictive controller are presented. The algorithm is obtained via a receding horizon control strategy by minimizing a quadratic performance index under the constraint that the output matches the reference over a suitable number of terminal steps. Both the nonadaptive and an adaptive
D. W. Clarke, E. Mosca, SCATTOLINI, RICCARDO   +2 more
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Robust control and tracking

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
Considers some problems in active vision for which techniques in robust control may be very relevant. In particular, we discuss eye tracking problems. We also survey some key ideas from active vision including optical flow and deformable contours.
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LMI Relaxations in Robust Control

European Journal of Control, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A robust control approach to formation control

2009 European Control Conference (ECC), 2009
This paper considers formation control for multiagent systems (vehicles, robots, satellites, etc.) and is based on the work of Fax and Murray [1], which provides a link between graph theory and the formation control problem for a given communication topology.
Popov, Andrey, Werner, Herbert
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Robustness of optimally robust controllers

[1991 Proceedings] The Twenty-Third Southeastern Symposium on System Theory, 2002
The largest robust stability radius gamma (P/sub 0/) of a system P/sub 0/ is defined as the radius of the largest ball B/sub max/ in the gap metric centered at P/sub 0/ which can be stabilized by one single controller. Any controller which stabilizes B/sub max/ is called an optimally robust controller of P/sub 0/.
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Universal controllers for robust control problems

Mathematics of Control, Signals, and Systems, 1997
The concept of a robust control Lyapunov function is defined for a class of uncertain single-input nonlinear systems. It is shown that if there exists a \(C^2\) robust control Lyapunov function, then a globally asymptotically stabilizing state-feedback control law can be constructed.
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