scholarly journals DREM-BASED ONLINE IDENTIFICATION OF A SURFACE VESSEL DYNAMIC MODEL

2019 ◽  
Author(s):  
ANASTASIIA O. VEDIAKOVA ◽  
ALEXEY A. VEDYAKOV
Keyword(s):  
Dynamic Model ◽  
Online Identification ◽  
Surface Vessel

Online parameter identification of a giant magnetostrictive actuator based on the dynamic Jiles–Atherton model

RSC Advances ◽  
2016 ◽  
Vol 6 (115) ◽  
pp. 114208-114218
Author(s):  
Ce Rong ◽  
Zhongbo He ◽  
Dongwei Li ◽  
Guangming Xue ◽  
Zhaoshu Yang
Keyword(s):  
Parameter Identification ◽  
Dynamic Model ◽  
Online Identification ◽  
Hysteresis Nonlinearity ◽  
Magnetostrictive Actuators ◽  
Magnetostrictive Actuator

Giant magnetostrictive actuators (GMAs) suffer dominant hysteresis nonlinearity. To better predict its output, a dynamic model of GMA based on J–A model is established. Results show the system performs well and is fit for online identification.

Path-Following for the Dynamic Model of a Marine Surface Vessel without Closed-Loop Control of the Surge Speed

2010 ◽  
Vol 43 (20) ◽  
pp. 243-248 ◽  
Author(s):  
Paola Pedone ◽  
Alessandro A. Zizzari ◽  
Giovanni Indiveri
Keyword(s):  
Dynamic Model ◽  
Closed Loop ◽  
Path Following ◽  
Closed Loop Control ◽  
Loop Control ◽  
Marine Surface ◽  
Surface Vessel

Adaptive and Robust Control of an Unmanned Surface Vessel

2013 ◽  
Author(s):  
Dongbin Lee
Keyword(s):  
Dynamic Model ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Mathematical Proof ◽  
Tracking System ◽  
Parametric Uncertainty ◽  
Adaptive Sliding Mode Control ◽  
Control Approach ◽  
Unmanned Surface Vessel ◽  
Surface Vessel

This paper presents an adaptive sliding mode control structure of underactuated unmanned surface vessel systems under parametric uncertainty. The primary motivation in this research is to compensate for disturbances related to the added hydrodynamic forces and moment in the nonlinear control of a three degree-of-freedom marine vessel. The novelty of this work is the tracking robustness and the compensation for uncertainties common to surface vessels. The first work is to divide the dynamic model of the system into the ship rigid-body terms and added terms induced by hydrodynamics. A sliding-mode controller is designed to force the error trajectory into the sliding surface, which produces a robust tracking result in a finite time. For the parametric uncertainties in the dynamic model, an adaptive controller is designed to compensate using a projection-based adaptation law. After combining these two control schemes, a closed-loop controller designed by a Lyapunov-based control approach over feedback linearization is appropriately designed to yield the nonlinear tracking system bounded in the presence of uncertainties. The mathematical proof shows that a stable tracking result in the sense of Lyapunov-type stability is achieved. Numerical simulation results are shown to demonstrate the validity of these proposed controllers.

Adaptive Path-Following Control for an Unmanned Surface Vessel Using an Identified Dynamic Model

2017 ◽  
Vol 22 (3) ◽  
pp. 1143-1153 ◽  
Author(s):  
Jongho Shin ◽  
Dong Jun Kwak ◽  
Young-il Lee
Keyword(s):  
Dynamic Model ◽  
Path Following ◽  
Path Following Control ◽  
Unmanned Surface Vessel ◽  
Surface Vessel

A dynamic model and a robust controller for a fully-actuated marine surface vessel

2010 ◽  
Vol 17 (6) ◽  
pp. 801-812 ◽  
Author(s):  
N. Khaled ◽  
NG Chalhoub
Keyword(s):  
Dynamic Model ◽  
Robust Controller ◽  
Marine Surface ◽  
Surface Vessel

A Path Following Controller for the Dynamic Model of a Marine Surface Vessel

2010 ◽  
Vol 43 (16) ◽  
pp. 157-162 ◽  
Author(s):  
Alessandro A. Zizzari ◽  
Paola Pedone ◽  
Giovanni Indiveri
Keyword(s):  
Dynamic Model ◽  
Path Following ◽  
Marine Surface ◽  
Surface Vessel

Short-term volume and turgor regulation in yeast

2008 ◽  
Vol 45 ◽  
pp. 147-160 ◽  
Author(s):  
Jörg Schaber ◽  
Edda Klipp
Keyword(s):  
Dynamic Model ◽  
Volume Change ◽  
Volume Regulation ◽  
Time Course ◽  
Osmotic Shock ◽  
Intracellular Concentration ◽  
Short Term ◽  
Hydrodynamic Property ◽  
Turgor Regulation ◽  
Thermodynamic Framework

Volume is a highly regulated property of cells, because it critically affects intracellular concentration. In the present chapter, we focus on the short-term volume regulation in yeast as a consequence of a shift in extracellular osmotic conditions. We review a basic thermodynamic framework to model volume and solute flows. In addition, we try to select a model for turgor, which is an important hydrodynamic property, especially in walled cells. Finally, we demonstrate the validity of the presented approach by fitting the dynamic model to a time course of volume change upon osmotic shock in yeast.

A dynamic model of decision making in ATC: Adaptation of criterion across angle and time

2011 ◽  
Author(s):  
Anita Vuckovic ◽  
Peter Kwantes ◽  
Andrew Neal
Keyword(s):  
Decision Making ◽  
Dynamic Model
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