9 Result(s)
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Wen-Yu **
Computational Intelligence
Control and Systems Theory
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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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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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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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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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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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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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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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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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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...
