• Structural Engineering and Mechanics
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• 제38권1호
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• pp.39-63
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• 2011

Referring to the formulation of physical stochastic optimal control of structures and the scheme of optimal polynomial control, a nonlinear stochastic optimal control strategy is developed for a class of structural systems with hysteretic behaviors in the present paper. This control strategy provides an amenable approach to the classical stochastic optimal control strategies, bypasses the dilemma involved in It$\hat{o}$-type stochastic differential equations and is applicable to the dynamical systems driven by practical non-stationary and non-white random excitations, such as earthquake ground motions, strong winds and sea waves. The newly developed generalized optimal control policy is integrated in the nonlinear stochastic optimal control scheme so as to logically distribute the controllers and design their parameters associated with control gains. For illustrative purposes, the stochastic optimal controls of two base-excited multi-degree-of-freedom structural systems with hysteretic behavior in Clough bilinear model and Bouc-Wen differential model, respectively, are investigated. Numerical results reveal that a linear control with the 1st-order controller suffices even for the hysteretic structural systems when a control criterion in exceedance probability performance function for designing the weighting matrices is employed. This is practically meaningful due to the nonlinear controllers which may be associated with dynamical instabilities being saved. It is also noted that using the generalized optimal control policy, the maximum control effectiveness with the few number of control devices can be achieved, allowing for a desirable structural performance. It is remarked, meanwhile, that the response process and energy-dissipation behavior of the hysteretic structures are controlled to a certain extent.

• Journal of information and communication convergence engineering
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• 제22권2호
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• pp.127-132
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• 2024

Haptic actuators for large display panels play an important role in bridging the gap between the digital and physical world by generating interactive feedback for users. However, the generation of meaningful haptic feedback is challenging for large display panels. There are dead zones with low haptic sensations when a small number of actuators are applied. In contrast, it is important to control the traveling wave generated by the actuators in the presence of multiple actuators. In this study, we propose a particle swarm optimization (PSO)-based algorithm for the haptic localization of plates with electrostatic vibration actuators. We modeled the transverse displacement of a plate under the effect of actuators by employing the Kirchhoff-Love plate theory. In addition, starting with twenty randomly generated particles containing the actuator parameters, we searched for the optimal actuator parameters using a stochastic process to yield localization. The capability of the proposed PSO algorithm is reported and the transverse displacement has a high magnitude only in the targeted region.

• 한국정보통신학회논문지
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• 제20권3호
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• pp.558-564
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• 2016

네트워크 간섭은 수신기 및 도청기의 디코딩을 방해함에 따라, 보안 및 서비스 품질에 긍정 및 부정적 영향을 동시에 미친다. 인공 잡음의 전송은 이러한 네트워크 간섭의 상충되는 영향을 간접적으로 제어 가능하게 한다. 본 논문은 송수신기 보안 보호 구역 및 인공 잡음 전송을 활용한 보안 성능 향상 기법을 제안하고, 확률 기하 이론을 통해 성능 이득을 분석한다. 먼저, 송수신기 사이 거리, 송수신기 보호 구역 크기에 따른 서로 다른 4가지 시나리오에 대해, 임의의 인공 잡음 전송에 대한 연결 실패 확률과 보안 실패 확률을 분석한다. 다음으로, 보안 전송율을 분석하고, 이의 최대화를 위한 최적 인공 잡음 전송 전력비를 찾는다. 마지막으로, 시뮬레이션을 통해, 보호 구역 크기와 같은 다양한 시스템 파라미터들의 최적 인공 잡음 전송 전력비에 대한 영향을 살펴본다.