ARTIFICIAL NEURAL NETWORK APPLICATION IN CONTROL SYSTEM

Ứng dụng trí tuệ nhân tạo trong việc dự đoán lũ lụt ( English version)
The artificial neural network (ANN) has been applied in many hydrological models in recent years and pays attention thanks to the performance of the model. This report focuses on using the application of the ANN based on artific[r]

12.6.2 Arc Welding Process
The objective of automated welding is to produce welds of high strength. To achieve this a number of research efforts have been made; one such effort is on-line control of the weld geometry such as width and penetration. The weld strength, indicative of quality,[r]

The paper performs a comparison of the proposed Adaptive Neural Network Dynamic Surface Control (ANDSC) algorithm with other approaches which are Adaptive Neural Networks Backstepping Control (ANB) and Adaptive Neural Networks Sliding Mode Backstepping Control (ANSB).

This thesis investigates adap-tive control of nonlinear discrete-time systems using neural networks, effecadap-tive neural network control schemes, corresponding weights update laws and [r]

In differentiable minimization, the Hessian matrix, or the matrix of second-order partial derivatives of a function with respect to adjustable parameters, contains information that may be valuable for accelerated convergence. For instance, the minimum of a function quadratic in the pa[r]

In this study, a neural network based trajectory planning method is applied to a planar, two-link flexible manipulator to provide a more precise tracking for the tip trajectory in the operational space. The reference values of joint angles are calculated by inverse ki[r]

In differentiable minimization, the Hessian matrix, or the matrix of second-order partial derivatives of a function with respect to adjustable parameters, contains information that may be valuable for accelerated convergence. For instance, the minimum of a function quadratic in the pa[r]

In this study, _ three time series forecasting models, Artificial Neural Network ANN, ARIMAX and ARIMAX-ANN Hybrid models were compared to forecast the damage caused by Yellow Stem borer[r]

Precipitation records often suffer from missing data values for certain time periods due to various reasons, one of them being the malfunctioning of rain gauges. This is an important issue in practical hydrology as it affects the continuity of rainfall data. The missing data values ultimately influe[r]

University of Technology – TNU
SUMMARY
In industrial systems, the SISO system in particular and the systems in general are uncertain nonlinear systems with the effects of external disturbance factors. The uncertainty of the system and external[r]

A scheme based on ANN to control hand-eye robot for tracking of moving objects.
An application of Neural Networks based visual servoing for hand-eye robot tracking target is introduced in this paper. The used control method bases input-output feedback lineariza[r]

HCM City - Vietnam, haits@hcmup.edu.vn
Abstract— In recent years, pattern classification and
image classification have received much attention. Many approaches are suggested to solve these problems such as Neural Network, Support Vector Machine, or K-NN[r]

Energy simulation and forecasting play an important role in setting energy policy and making decisions in pursuit of sustainable development. This research uses statistical tools and artificial intelligence techniques including artificial neural networks, support v[r]

The thesis aims to propose some control techniques for mobile target Robot-camera. After that, I studied some of the torque control techniques of joints for the Robot-camera system sticking to the mobile target and the Robot-camera system, paying attention to the motivating motor sticking to the mob[r]

In this paper, we proposed an adaptive-backstepping position control system for mobile manipulator robot (MMR). By applying recurrent fuzzy wavelet neural networks (RFWNNs) in the position-backstepping controller, the unknown-dynamics problems of the MMR control system are relaxed.

When talking about emotions, we can not skip two im- portant topics: subjectivity and the emotion classification. As stated in the paper [3], different emotions can appear in a subject while looking at the same picture, depending on a person and its current emotional state. But what we[r]

Fig. 1. TSP instance of ten cities
TSP has an important impact on different sciences and fields, for instance in Operations Research and Theoretical Computer Science. Most problems related to those fields, are based in the TSP definition. For instance, problems such as Heterogeneous Mac[r]

Advisors: Ph.D. Pham Van Tuan, M.E. Hoang Le UyenThuc
Electronic and Communication Engineering Department, Da Nang University of Technology
Abstract
Optical Character Recognition is a technology that enable human to digitize scanned images, converting into editable text on th[r]

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Abstract — Facial Expression Classification is an interesting research problem in recent years. There are a lot of methods to solve this problem. In this research, we propose a novel approach using Canny, Principal Component Analysis (PCA) and Artificial<[r]

( Manuscript Received on November 01 st , 2007, Manuscript Revised March 03 rd , 2008 )
ABSTRACT : An interesting alternative to electric actuators for medical purposes, particularly promising for rehabilitation, is a pneumatic artificial muscle (PAM) actuator because of its muscle–like pr[r]