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Analysis and Synthesis of the Modified MRAC-MIT System and the MRAC-Lyapunov System

2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), 2020
the analysis and synthesis of automatic control systems of a thermal object with reference adaptive control models based on the modified MIT rule and the Lyapunov rule using MATLAB-Simulink software is carried out. The developed algorithms have successfully passed laboratory tests on a thermal object and provide the required quality of the transition ...
E.S. Duvanov   +3 more
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Convergence performance comparisons of PID, MRAC, and PID + MRAC hybrid controller

Frontiers of Mechanical Engineering, 2016
This study proposes a hybrid controller by combining a proportional-integral-derivative (PID) control and a model reference adaptive control (MRAC), which named as PID + MRAC controller. The convergence performances of the PID control, MRAC, and hybrid PID + MRAC are also compared. Through the simulation in Matlab, the results show that the convergence
Dan Zhang, Bin Wei
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MRAC Implementation for Electric Throttle Valve

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), 2020
Design, implementation and testing of a model reference adaptive controller for an electric throttle valve are presented. An important step by design an adaptive controller is to find an adaptation mechanism. For this purpose, we employed the Lyapunov stability theory.
Alireza Tajafari Sahebi   +2 more
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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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Global adaptive output feedback MRAC

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009
A robust adaptive output feedback (OFB) dynamic inversion control strategy is presented that achieves global asymptotic tracking of a reference model. The considered system contains linearly parameterizable uncertainty in the state and input matrices. The dynamic model also includes an unknown, nonlinear disturbance, which does not satisfy the linear ...
William MacKunis   +3 more
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MRAC FOR SYSTEMS WITH SINUSOIDAL PARAMETERS

International Journal of Adaptive Control and Signal Processing, 1996
Present adaptive control schemes are formulated to estimate constant parameters. In certain circumstances, however, time-varying parameters may need to be estimated. This paper presents a method for estimating parameters that vary sinusoidally based upon the passivity/hyperstability formulation.
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Gain margins of multivariable MRAC systems

2008 47th IEEE Conference on Decision and Control, 2008
This paper studies the gain margins (GM) of multivariable model reference adaptive control (MRAC) systems: the parameter range of a control gain matrix in a designed MRAC system for maintaining the desired closed-loop signal boundedness and asymptotic output tracking.
Qian Sang, Gang Tao
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Robustness of MRAC schemes

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), 1997
A standard model reference adaptive control (MRAC) scheme is inherently robust with respect to L/sup /spl infin///spl cap/L/sup 2/ disturbances in the sense that all closed-loop signals are bounded and the tracking error is in L/sup /spl infin///spl cap/L/sup 2/. A MRAC scheme with a new adaptive law is inherently robust with respect to disturbances in
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Multivariable MRAC for aircraft with abrupt damages

2008 American Control Conference, 2008
This paper addresses the compensation of aircraft damages using the direct adaptive control approach. The dynamical modeling of aircraft with damages is first introduced, which demonstrates the complex dynamics when asymmetric mass distribution occurs as the result of damages.
Yu Liu 0062, Gang Tao
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Adaptation rates for MRAC systems

International Journal of Control, 1989
Abstract A method for predicting the adaptation rate of a single-input, hyperstability-based, MRAC system is developed. Assuming a slowly changing input and output, this rate follows well-defined root loci. A straightforward method for choosing adaptation gains results. The derived theory was applied to a laboratory experiment which involved a DC motor
JACOB S. GLOWER, ROBERT E. FENTON
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