Results 171 to 180 of about 6,111 (200)
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A Design of Nonlinear MRACS and the Proof of Stability

IFAC Proceedings Volumes, 1990
Abstract This paper shows a design of nonlinear MRACS and the proof of gloval stability. Nonlinear systems which are dealed in this paper have the property of norm constraints. We design nonlinear MRACS by combineing nonlinear model following control systems and papameter adjustable laws of Kleisselmeier type.
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Output Feedback M-MRAC

AIAA Guidance, Navigation, and Control (GNC) Conference, 2013
This paper presents design and performance analysis of a modified reference model MRAC (M-MRAC) architecture in the output feedback framework for a class of singleinput single-output (SISO) uncertain systems. It is shown that the modification of the reference model by the tracking error feedback enables the designer to achieve a desired level of ...
Vahram Stepanyan   +1 more
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Performance analysis on MRAC and fuzzy MRAC control for dryer in paper making process

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014
In this paper performance analysis of proposed fuzzy MRAC based control for drying process is compared. Last part of the paper machine consists of a large number of rotating steam heated cylinders. By adjusting the set point of the stream pressure to the cylinders, moisture to be controlled.
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Augmented-MRAC for quadrotor UAVs with parameter change

2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016
Multirotor unmanned aerial vehicles (MAVs) with the capability of interaction with their surroundings have recently received increasing attention. However, the rapid change parameters during flight present a challenge for the stable control of MAVs. In this paper, the baseline controller of a quadrotor is developed based on classical model reference ...
Fangrui Fan   +4 more
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MRAC ALGORITHM FOR HIGH RELATIVE DEGREE PLANTS

IFAC Proceedings Volumes, 1995
Abstract The principal aim of this paper is to present a new algorithm for the control of continuous time linear systems with a large relative degree and unknown parameters. If the standard approach is used for these systems, the controller structure is very complicated and implementation is problematic.
J. Murgaš, M. Matejovič, V. Červenka
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Explicit Convergence Rates for MRAC-Type Systems

Automatica, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +4 more sources

Model Updating Improves Performance of an MRAC Design

IFAC Proceedings Volumes, 1983
Abstract We will discuss the technique of model updating to improve the performance of a MRAC design with state feedback. At specified time intervals the state of the reference model is adjusted to actual state of the system, which can improve the convergence of the parameters, reduces control effort and yields faster response times.
P.P.J. van den Bosch, P.I. Tjahjadi
openaire   +1 more source

A multivariable MRAC scheme with sensor uncertainty compensation

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
This paper develops a multivariable model reference adaptive control (MRAC) scheme for multi-input multi-output LTI systems with parameterized sensor uncertainties. Adaptive compensation of sensor uncertainties is incorporated with a feedback control law.
Jiaxing Guo, Gang Tao
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Inherent robustness of MRAC schemes

Systems & Control Letters, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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