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44 Result(s)
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Article
Open AccessNumerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks
The uncertain nonlinear systems can be modeled with fuzzy equations or fuzzy differential equations (FDEs) by incorporating the fuzzy set theory. The solutions of them are applied to analyze many engineering p...
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Book
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Chapter
Conclusions
There has been a large amount of increased research in structural vibration control in the past few decades. A number of control algorithms and devices have been applied to the structural control applications.
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Chapter
Introduction
This chapter provides an overview of active structure control. Some typical applications of structural control systems with respect to earthquakes are discussed.
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Chapter and Conference Paper
Experimental Research for Motion Ranges of Knee Joints
To investigate the range of motion (ROM) of knee joints in the human body, the difference of ROMs between man and woman in subgroups, and how the difference of ROMs relates to age itself; One hundred healthy v...
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Chapter and Conference Paper
Comfort Posture and Position of Push-Pull Operation of the Sagittal Plane in Standing
Push-pull operation is often used in daily work and life. The position of the operating lever, the grab bar, handrail, and the buckle slot is one of the main factors that affect the push-pull task performance....
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Chapter
Fuzzy Sliding Mode Control for Wind-Induced Vibration
In this chapter, we used fuzzy logic to approximate the standard sliding surface and designed a dead-zone adaptive law for tuning the switching gain of the sliding mode control. The stability of the proposed c...
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Chapter
Position and Velocity Estimation
In this chapter, offset cancellation and high-pass filtering techniques are combined effectively to solve common problems in numerical integration of acceleration signals in real-time applications. The integra...
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Chapter
Fuzzy PID Control of Building Structures
In this chapter, the proposed control algorithms combine the classical (PD/PID) and intelligent (Fuzzy) control techniques to achieve good vibration attenuation. The stability analysis of the structural vibrat...
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Chapter
Active Structural Control
This chapter provides an overview of building structure modeling and control. It focuses on different types of control devices, control strategies, and sensors used in structural control systems. It also discu...
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Chapter
Stable PID Active Control of Building Structures
In this chapter, we analyze the stability of the active vibration control system for both linear and nonlinear structures. We give explicit sufficient conditions for choosing the PID gains. The theory conclusi...
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Article
Open AccessFast Support Vector Machine Classification for Large Data Sets
Normal support vector machine (SVM) algorithms are not suitable for classification of large data sets because of high training complexity. This paper introduces a novel two-stage SVM classification approach fo...
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Article
Large data sets classification using convex–concave hull and support vector machine
Normal support vector machine (SVM) is not suitable for classification of large data sets because of high training complexity. Convex hull can simplify the SVM training. However, the classification accuracy be...
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Chapter and Conference Paper
Significance-Preserving-Guided Content-Aware Image Retargeting
With the rapid development of multimedia and network technologies, sharing image contents through heterogeneous devices of different capabilities has been popular. A variety of displays provide different displ...
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Article
Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification
Since wavelet transform uses the multi-scale (or multi-resolution) techniques for time series, wavelet transform is suitable for modeling complex signals. Haar wavelet transform is the most commonly used and t...
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Chapter
Soft Sensor Modeling of Ball Mill Load via Principal Component Analysis and Support Vector Machines
In wet ball mill, measurement accuracy of mill load (ML) is very important. It affects production capacity and energy efficiency. A soft sensor method is proposed to estimate the mill load in this paper. Vibra...
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Chapter
Nonlinear System Modeling with a New Fuzzy Model and Neural Compensation
Normal fusion procedure of neural networks and fuzzy systems is to use neural learning techniques to train membership functions of fuzzy system. If no mechanistic prior knowledge can be used, fuzzy systems sho...
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Article
Fracture mechanics analysis on Smart-Cut® technology. Part 2: Effect of bonding flaws
In Part 2 of the paper on the Smart-Cut process, the effects of bonding flaws characterized by the size and internal pressure before and after splitting are studied by using fracture mechanics models. It is fo...
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Article
Fracture mechanics analysis on Smart-Cut® technology. Part 1: Effects of stiffening wafer and defect interaction
In the present paper, continuum fracture mechanics is used to analyze the Smart-Cut process, a recently established ion cut technology which enables highly efficient fabrication of various silicon-on-insulator...
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Article
Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC
Normal fuzzy CMAC neural network performs well for nonlinear systems identification because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it req...
