Discrete Model Reference Adaptive Control System for Automatic Profiling Machine
Journal of Control Science and Engineering, 2012 Automatic profiling machine is a movement system that has a high degree of parameter variation and high frequency of transient process, and it requires an accurate control in time.
Peng Song, Guo-kai Xu, Xiu-chun Zhao
doaj +1 more source
Adaptive Generative Models for Digital Wireless Channels [PDF]
, 2014 Generative models, which can generate bursty error sequences with similar burst error statistics to those of descriptive models, have an immense impact on the wireless communications industry as they can significantly reduce the computational time of ...
Ai, Bo +3 more
core +1 more source
Designing L1 Adaptive Control for stabilizing Chaotic Systems with Uncertainty in the model [PDF]
مجله مدل سازی در مهندسی, 2018 In this paper, L1 adaptive control strategy for stabilizing chaotic systems in the presence of model uncertainty is proposed. In order to design controller, first, system dynamics is divided into two linear and nonlinear parts.
Abdollah Abbasi, samaneh sadat aghaamoo
doaj +1 more source
Reference-shaping adaptive control by using gradient descent optimizers. [PDF]
PLoS ONE, 2017 This study presents a model reference adaptive control scheme based on reference-shaping approach. The proposed adaptive control structure includes two optimizer processes that perform gradient descent optimization.
Baris Baykant Alagoz +3 more
doaj +1 more source
Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System
Energies, 2021 Magnetic Levitation is a process in which an object is suspended with the support of the magnetic field. Despite being an unstable system, Magnetic Levitation Systems (MAGLEV) have profound applications in various fields of engineering.
Rahul Sanmugam Gopi +5 more
doaj +1 more source
Model reference adaptive control of a nonsmooth dynamical system [PDF]
, 2006 In this paper a modified model reference adaptive control (MRAC) technique is presented which can be used to control systems with nonsmooth characteristics. Using unmodified MRAC on (noisy) nonsmooth systems leads to destabilization of the controller.
B.A. Huberman +24 more
core +1 more source
Characterization and adaptive fuzzy model reference control for a magnetic levitation system
Alexandria Engineering Journal, 2016 This paper shows the implementation of a fuzzy controller applied for magnetic levitation, to make this, the characterization of the magnetic actuator was computed by using ANSYS® analysis.
J.J. Hernández-Casañas +2 more
doaj +1 more source
Integration of an adaptive infotainment system in a vehicle and validation in real driving scenarios [PDF]
, 2017 More services, functionalities, and interfaces are increasingly being incorporated into current vehicles and may overload the driver capacity to perform primary driving tasks adequately.
Bayona Margarit, Teresa +2 more
core +4 more sources
Nonlinear autoregressive moving average-L2 model based adaptive control of nonlinear arm nerve simulator system [PDF]
, 2020 This paper considers the trouble of the usage of approximate strategies for realizing the neural controllers for nonlinear SISO systems. In this paper, we introduce the nonlinear autoregressive moving average (NARMA-L2) model which might be ...
Jibril, Mustefa
core +2 more sources
Single Link Robot Arm Trajectory Following Using Model Reference Adaptive Control Algorithm [PDF]
Engineering and Technology Journal, 2010 Robust adaptive tracking control algorithm is proposed in this paper for single link robot arm position control. A model reference adaptive control algorithm is applied to control the angular position of the robot arm by tuning the parameters of the ...
Nihad Mohammed Ameen
doaj +1 more source