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MRAC-MU Online Learning

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018
In this paper, we apply the method of control theory to machine learning, proposing a new multiplication update algorithm combined with adaptive control theory, we name it MRAC-MU algorithm. A new parameter updating law is obtained according to Lyapunov stability theorem.
Si-Si Zhang   +4 more
openaire   +1 more source

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
openaire   +1 more source

M-MRAC for SPHERES

AIAA Guidance, Navigation, and Control Conference, 2015
This paper presents application of the modi ed reference model MRAC (M-MRAC) method to control the relative position and orientation of a cluster of satellites known collectively as the Synchronized Position Hold, Engage, Reorient Experimental Satellites (SPHERES). The approach uses fast estimation algorithms to achieve guaranteed tracking of reference
Vahram Stepanyan   +2 more
openaire   +1 more source

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
openaire   +1 more source

A Novel Hybrid (PID + MRAC) Adaptive Controller for an Air Levitation System

IEEE Latin America Transactions, 2021
The air levitation system belongs to a class of systems with fast dynamics and low damping. Such characteristics make the plant intrinsically unstable and respond in a non-linear form.
M. H. Bomfim   +3 more
semanticscholar   +1 more source

Improved MRAC Based Sensorless PMSM Drive With Enhanced Speed Control for LEV Application

IEEE transactions on energy conversion
This paper introduces a sensorless speed and position control for a permanent magnet synchronous motor (PMSM) drive designed for light electric vehicles (LEVs).
Sumit Kumar, Bhim Singh
semanticscholar   +1 more source

Design and implementation of MRAC and modified MRAC technique for inverted pendulum

2015 International Conference on Pervasive Computing (ICPC), 2015
This paper is concerned with the combination of model reference adaptive control (MRAC) and PID. Incorporating application for inverted pendulum system, subjected to it finds the analogy with various control system applications like robotic arm, satellite launching system etc.
R. J. Pawar, B.J. Parvat
openaire   +1 more source

MRAC-Based Voltage Controller for Three-Phase CVCF Inverters to Attenuate Parameter Uncertainties Under Critical Load Conditions

IEEE transactions on power electronics, 2020
This paper investigates a robust model reference adaptive control (MRAC) method for a three-phase constant-voltage constant-frequency (CVCF) inverter with an output LC filter.
Jinuk Kim, H. Choi, Jin-Woo Jung
semanticscholar   +1 more source

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
openaire   +1 more source

MRAC for unknown discrete-time nonlinear systems based on supervised neural dynamic programming

Neurocomputing, 2020
This paper investigates the model reference adaptive control (MRAC) problem for unknown nonlinear discrete-time systems, which is how to guarantee adaptation to the variable reference input and robustness to perturbation.
Hao Fu, Xin Chen, Wei Wang, Min Wu
semanticscholar   +1 more source

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