Results 181 to 190 of about 8,467 (198)

Data driven MRAC with parameter convergence

2015 IEEE Conference on Control Applications (CCA), 2015
The convergence of parameters in model reference adaptive control (MRAC) requires that a restrictive persistence of excitation (PE) condition be satisfied. A recent data driven approach, concurrent learning, uses past input-output data in conjunction with standard adaptive laws to ensure parameter convergence without needing the PE condition.
K Arun Kumar, Shubhendu Bhasin
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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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A Novel MRAC of Induction Motor

IEEE 36th Conference on Power Electronics Specialists, 2005., 2006
MRAC (model reference adaptive control ) is one effective scheme for parameter identification in a flux field-oriented control system of induction motors. But most of the existent available reference models used in this field are based on the static models of induction motors, and so the transient performances are always unsatisfactory.
null Yue Wang, null Jun Yang, null Zhaoan Wang, null Yahan Hua, null Jiangbo Wang   +4 more
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From MRAC to Learning-Based MPC

2016
The increasing importance of machine learning in manipulator control is reviewed from two main perspectives: modeling and learning control. The chapter starts with an introduction to history and theory of Model Reference Adaptive Control (MRAC) and its application to manipulator control.
Soltani Naveh, K., McAree, P. R.
openaire   +2 more sources

Lyapunov Design of Multivariable MRAC via Generalized Passivation

Asian Journal of Control, 2014
AbstractA Lyapunov design of multiple input, multiple output (MIMO) model‐reference adaptive control (MRAC) systems is proposed using new generalized passivity concepts based on WSPR and WASPR properties. The new design avoids control overparameterization and leads to the simplest unnormalized gradient algorithm by means of a passivating multiplier. To
Hsu, Liu, Teixeira, Marcelo Carvalho Minhoto, Costa, Ramon Romankevicius, Assunção, Edvaldo   +3 more
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Improved performance MRAC of linear and non‐linear systems

International Journal of Adaptive Control and Signal Processing, 1993
AbstractThe problem of improved performance adaptive control (IPAC) of a class of linear and non‐linear systems is considered. A method for its solution is presented, the main feature of which lies in augmenting the ‘standard’ model reference adaptive controller by a signal properly designed to compensate for the effect of plant parameter uncertainty ...
Papadakis, Ioannis N. M., Thomopoulos, Stelios C. A.   +1 more
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Direct MRAC with dynamically constructed neural controllers

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Research in neural control mostly concentrates on indirect control schemes while insufficient attention has been paid to direct model reference adaptive control (MRAC) scheme. In addition, at present the emphasis of neural control is on parameter tuning instead of structural tuning, i.e., to find the minimal controller capable of achieving an optimal ...
Y. Frayman, null Lipo Wang
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Design of MRAC and modified MRAC for DC motor speed control

2021
Manimozhi, M., Rajathi, A.
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MRAC

2021
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Duality in Mrac

1991
Ioannis N. M. Papadakis, Stelios C. A. Thomopoulos   +1 more
openaire   +1 more source