Etching with (111) silicon is relatively new, but it represents very exciting opportunities in micro and nano system applications. By combining wet and dry anisotropic etching, high-precision, actuatable micro and nan...
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Etching with (111) silicon is relatively new, but it represents very exciting opportunities in micro and nano system applications. By combining wet and dry anisotropic etching, high-precision, actuatable micro and nano structures can be fabricated in single-crystalline silicon. This paper reviews several relevant (111) microfabrication results reported in the literature. Among these, a single-mask process that we call sacrificial bulk micromachining (SBM) is reviewed in detail. Various electrical isolation methods as well as a number of applications to micro and nano systems are presented.
This paper presents a new method for electrically isolating the released high-aspect ratio single crystal silicon MEMS structures. In this method, horizontal dielectric layers are implanted at arbitrary depths in any ...
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This paper presents a new method for electrically isolating the released high-aspect ratio single crystal silicon MEMS structures. In this method, horizontal dielectric layers are implanted at arbitrary depths in any desired region of a wafer, using the Sacrificial Bulk Micromachining (SBM) process. A z-axis microgyroscope is fabricated by the proposed method. The measured noise-equivalent angular rate resolution is 0.0074/spl deg//sec, the input range is larger than /spl plusmn/ 50/spl deg//sec, and the measured bandwidth is 7.3 Hz. The proposed method achieves electrical isolation with excellent mechanical stability, and is free from the footing phenomenon.
Traffic estimation and modeling has been a crucial issue in many research areas of communication networks. For example, intermediate routers in networks estimate the rate of packet flows via queue size information in ...
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Simulation plays a vital role in analyzing DEDS. However, using simulation to analyze complex systems can be time-consuming and expensive. Particularly, in the case of precise performance evaluation, computing budget,...
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ISBN:
(纸本)0780370619
Simulation plays a vital role in analyzing DEDS. However, using simulation to analyze complex systems can be time-consuming and expensive. Particularly, in the case of precise performance evaluation, computing budget, time constraint, and pseudo-random number generator limitations can become prohibitive. Ordinal optimization is an effective approach for improving the efficiency of simulation and optimization of DEDS. However, the ordinal optimization approach does not pay much attention to the problem of large search space. In the paper, for the reduction of search space, we propose a combined approach, ordinal optimization with orthogonal arrays. With this approach, the problem of large search space in stochastic optimization can become more manageable. Consequently, the proposed method can be more efficient for the reduction of simulation burden compared to the conventional ordinal optimization method.
In this paper, we present a new learning algorithm, referred to as the logical evolution (LE) method. To learn a Boolean function, the LE method uses not only new information in the given training examples but also ol...
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In this paper, we present a new learning algorithm, referred to as the logical evolution (LE) method. To learn a Boolean function, the LE method uses not only new information in the given training examples but also old information learned in the past. By using only one network to learn many functions, old information can be re-used for learning new problems efficiently. In this paper, we present the network structure and the learning algorithm of LE and analyse its properties. Its learning capability is also shown by means of two experiments.
Proposes a nonlinear adaptive guidance law. The fourth order state equation for an integrated guidance and control loop is formulated considering target uncertainties and control loop dynamics. The state equation is f...
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Proposes a nonlinear adaptive guidance law. The fourth order state equation for an integrated guidance and control loop is formulated considering target uncertainties and control loop dynamics. The state equation is further changed into the normal form by nonlinear coordinate transformation. A nonlinear adaptive guidance law is proposed to compensate the uncertainties in both target acceleration and control loop dynamics. The proposed law adopts the sliding mode control approach with adaptation for unknown bound of uncertainties. The present approach can effectively solve the existing guidance problem against target maneuver and the limited performance of the control loop. We provide stability analyses and demonstrate the effectiveness of our scheme through simulations.
In this paper, a robust integrated control for engine and automatic transmission systems is investigated. The modeling of powertrain system is split into five subparts including an engine, a torque converter, an autom...
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In this paper, a robust integrated control for engine and automatic transmission systems is investigated. The modeling of powertrain system is split into five subparts including an engine, a torque converter, an automatic transmission, clutch torque generation, and a drivetrain. For improving the ride quality, a two-stage control strategy, torque phase and inertia phase, is proposed. During the torque phase, the slip in first gear is maintained to near zero, while the reaction carrier speed and turbine speed during the inertia phase are controlled to track their desired speeds. The reaction carrier speed is adjusted by the second clutch torque, and the turbine speed is controlled by engine throttle angle and spark advance. Due to the uncertainty and unmodelled dynamics of the system, the uniform ultimate boundedness of the error signals is assured by applying the Lyapunov stability analysis. Simulation results are provided.
Presents an anti-reset windup (ARW) compensation method for saturating control systems with multiple controllers and/or multiloop configuration. The proposed ARW method is motivated by the concept of equilibrium point...
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ISBN:
(纸本)0780338324
Presents an anti-reset windup (ARW) compensation method for saturating control systems with multiple controllers and/or multiloop configuration. The proposed ARW method is motivated by the concept of equilibrium point. The design parameters of the ARW scheme is derived explicitly by minimizing a reasonable performance index. In the event of saturation, the resulting dynamics of the compensated controller reflects the dynamics of a linear closed-loop system. The proposed method guarantees the total stability of resulting control systems under a certain condition.
Presents a dynamical anti-reset windup (ARW) compensation method for saturating control systems with multiple controllers and/or multiloop configuration. By regarding the difference of controller states in the absence...
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ISBN:
(纸本)0780341872
Presents a dynamical anti-reset windup (ARW) compensation method for saturating control systems with multiple controllers and/or multiloop configuration. By regarding the difference of controller states in the absence and presence of saturating actuators as an objective function, the dynamical compensator which minimizes the objective function is derived in an integrated fashion. The proposed dynamical compensator is a closed form of the plant and controller parameters. The resulting dynamics of the compensated controller reflects the linear closed-loop system. The proposed method guarantees the total stability of the resulting system. The effectiveness of the proposed method is illustrated by applying it to a servo motor control system.
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