Blind Estimation of Spreading Sequences Based on Improved Fast-ICA

2013 ◽  
Vol 427-429 ◽  
pp. 1258-1262
Author(s):  
Xiao Zhi Liu ◽  
Jing Li ◽  
Liang Ming Wu
Keyword(s):  
Estimation Method ◽  
New Method ◽  
Cdma System ◽  
Blind Estimation ◽  
System A ◽  
Simulation Results ◽  
Spreading Sequences

To estimate the spreading sequences for DS-CDMA system, a blind estimation method based on improved Fast-ICA is proposed. In this method, the ECA whitening and BAT optimization are introduced into the traditional Fast-ICA firstly, then the improved Fast-ICA is used to obtain spreading sequences matrix, finally, the spreading sequences are extracted from the spreading sequences matrix. Simulation results show the validity and superiority of the new method.

Modeling and Simulation of Propeller and Hull System for Marine Propulsion Plant

2011 ◽  
Vol 383-390 ◽  
pp. 2121-2125
Author(s):  
Ren Li ◽  
Wen Xiao Zhang ◽  
Hua Yan Li
Keyword(s):  
Modeling And Simulation ◽  
Simulation Model ◽  
Dynamic Properties ◽  
Operating Conditions ◽  
New Method ◽  
Matlab Simulink ◽  
System A ◽  
Marine Propulsion ◽  
Simulation Results ◽  
Mechanical Devices

Aiming at the complexity of mechanical devices and the polytrope of operating conditions for marine propulsion plant, the modeling and simulation of propeller and dull system are investigated based on MATLAB/Simulink. The simulation model of propeller and dull system is constructed in which the Chebyshev fit expression across four quadrants is given for the propeller. So it becomes practical to express static and dynamic properties of propeller and dull system. A luxury cruises fitted on two engines and two fixed pitch propellers is considered to perform simulation tests. The actual navigation conditions of marine propulsion plant, including starting, parking and reversing etc, are taken into account. The simulation results analysis illustrates the correctness and validity of modeling and simulation for propeller and dull system. Thus provides a new method for the optimization and design of marine propulsion plant.

Research on Uplink Channel Estimation Method in TD-LTE System

2011 ◽  
Vol 135-136 ◽  
pp. 847-851
Author(s):  
Cui Zhen Sun ◽  
Zhao Hua Zeng
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Data Rate ◽  
Pilot Signal ◽  
High Data ◽  
System A ◽  
Term Evolution ◽  
Simulation Results ◽  
Evolution Scheme

LTE is a long term evolution scheme of 3GPP, as a using extensively communication standards, it has higher data rate and higher quality. Channel estimation plays a quite important role in the LTE system which requires the high data rate and quality. In the article, based on the analysis of the LS and MMSE algorithms of the LTE system, a advised algorithm is adopted. The pilot signal is processed before the channel estimation by reducing noise in time domain. The simulation results demonstrate that the advised algorithm is a preferable choice in estimation performance, simultaneously; the advised has obviously reduced the algorithm complexity.

Antifibrinolytic Action of the Anticoagulant Split Product of Fibrinogen

1968 ◽  
Vol 19 (03/04) ◽  
pp. 526-532 ◽  
Author(s):  
L. B Nanninga ◽  
M. M Guest
Keyword(s):  
Experimental System ◽  
New Method ◽  
System A ◽  
Fibrinogenolytic Activity

SummaryThe purified anticoagulant split product of fibrinogen has antifibrinolytic and anti-fibrinogenolytic activity. This was investigated by lysis times of fibrin and by the rate of disappearance of fibrinogen in plasma and in a purified system. A new method was used to measure fibrinogenolytic activity. In the experimental system which we have used no indication of additional breakdown of the anticoagulant split product in the presence of fibrinolysin was obtained.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

Multi-layer controller with state-constraint: Vehicle lateral stability control based on fuzzy logic

2021 ◽  
pp. 095440702110142
Author(s):  
Neng Wan ◽  
Guangping Zeng ◽  
Chunguang Zhang ◽  
Dingqi Pan ◽  
Songtao Cai
Keyword(s):  
Control System ◽  
Integrated Control ◽  
State Constraint ◽  
Stability Control ◽  
Lateral Stability ◽  
System A ◽  
Velocity Reduction ◽  
Vehicle Velocity ◽  
Allowable Range ◽  
Simulation Results

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes a multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, a new constraint control strategy with input and state constraints is applied to calculate the steady-state yaw moment. It ensures the vehicle lateral stability by tracking the desired yaw rate value and limiting the allowable range of the side slip. Through the linkage of the three-layer controller, the tire load is optimized and achieve minimal vehicle velocity reduction. The seven-degree-of-freedom (7-DOF) simulation model was established and simulated in MATLAB to evaluate the effect of the proposed controller. Through the analysis of the simulation results, compared with the traditional ESC and integrated control, it not only solves the problem of obvious velocity reduction, but also solves the problem of high cost and high hardware requirements in integrated control. The simulation results show that designed control system has better performance of path tracking and driving state, which is closer to the desired value. Through hardware-in-the-loop (HIL) practical experiments in two typical driving conditions, the effectiveness of the above proposed control system is further verified, which can improve the lateral stability and maneuverability of the vehicle.

Estimation of Failure Probability and its Applications in Reliability Data Analysis

2010 ◽  
Vol 118-120 ◽  
pp. 601-605
Author(s):  
Han Ming
Keyword(s):  
Parameter Estimation ◽  
Data Analysis ◽  
Bayesian Estimation ◽  
Failure Probability ◽  
Evaluation Method ◽  
Estimation Method ◽  
New Method ◽  
Reliability Parameter ◽  
Hierarchical Bayesian Estimation ◽  
Definition Of

Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.

Development of Control System by Nonlinear Compensation Using Digital Acceleration Control

2010 ◽  
Author(s):  
Takanori Emaru ◽  
Kazuo Imagawa ◽  
Yohei Hoshino ◽  
Yukinori Kobayashi
Keyword(s):  
Control System ◽  
System Identification ◽  
Mechanical System ◽  
Pid Control ◽  
Estimation Method ◽  
Proportional Integral Derivative ◽  
Inertia Term ◽  
Modeling Errors ◽  
Nonlinear Compensation ◽  
Simulation Results

Proportional-Integral-Derivative (PID) control has been most commonly used to operate mechanical systems. In PID control, however, there are limits to the accuracy of the resulting movement because of the influence of gravity, friction, and interaction of joints. We have proposed a digital acceleration control (DAC) that is robust over these modeling errors. One of the most practicable advantages of DAC is robustness against modeling errors. However, it does not always work effectively. If there are modeling errors in the inertia term of the model, the DAC controller cannot control a mechanical system properly. Generally an inertia term is easily modeled in advance, but it has a possibility to change. Therefore, we propose an online estimation method of an inertia term by using a system identification method. By using the proposed method, the robustness of DAC is considerably improved. This paper shows the simulation results of the proposed method using 2-link manipulator.

Identification and Model Predictive Position Control of Two Wheeled Inverted Pendulum Mobile Robot

2015 ◽  
Vol 73 (6) ◽  
Author(s):  
Amir A. Bature ◽  
Salinda Buyamin ◽  
Mohamad N. Ahmad ◽  
Mustapha Muhammad ◽  
Auwalu A. Muhammad
Keyword(s):  
Mathematical Model ◽  
System Identification ◽  
Mobile Robot ◽  
Inverted Pendulum ◽  
Position Control ◽  
Superior Performance ◽  
System A ◽  
Wheeled Inverted Pendulum ◽  
Simulation Results ◽  
Real Plant

In order to predict and analyse the behaviour of a real system, a simulated model is needed. The more accurate the model the better the response is when dealing with the real plant. This paper presents a model predictive position control of a Two Wheeled Inverted Pendulum robot. The model was developed by system identification using a grey box technique. Simulation results show superior performance of the gains computed using the grey box model as compared to common linearized mathematical model. 

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