Browsing by Author "Lee, Gwo-Chuan"

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Analyze the Performance of the Cyclic Indexing Schemes for the Wireless Data Broadcast
(2010-04-01)
Li, Long-Sheng
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Chang, Ming-Feng
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Lee, Gwo-Chuan
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資訊工程學系
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Department of Computer Science
Wireless data broadcast is an effective approach to disseminate information to a massive number of users. Indexing techniques for broadcasting data can reduce the battery power consumptions of mobile terminals by decreasing the tuning time. The organization of the indexes affects the efficiency of data searching. We investigate how the degree of the index node affects the tuning time, and thus minimize the power consumption of user's terminals. We proposed a performance measurement for the tuning time and a cyclic indexing algorithm. The numerical results suggest the degree of an index node be 3 when the access probabilities of the data tend to be uniformly distributed so that the expected tuning time is minimal. When the access distribution of the data nodes is skewer, the tuning time can be minimized by setting the degree in the index node 2.
Decentralized stabilization of neural network linearly interconnected systems via T-S fuzzy control
(2007-05-01)
Hsiao, Feng-Hsiag
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Liang, Yew-Wen
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Xu, Sheng-Dong
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Lee, Gwo-Chuan
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電控工程研究所
The stabilization problem is considered in this study for a neural-network (NN) linearly interconnected system that consists of a number of NN models. First, a linear difference inclusion (LDI) state-space representation is established for the dynamics of each NN model. Then, based on the LDI state-space representation, a stability criterion in terms of Lyapunovs direct method is derived to guarantee the asymptotic stability of closed-loop NN linearly interconnected systems. Subsequently, according to this criterion and the decentralized control.scheme, a set of Takagi-Sugeno (T-S) fuzzy controllers is synthesized to stabilize the NN linearly interconnected system.. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper.
LQG optimal control of discrete stochastic systems under parametric and noise uncertainties
(2006-05-01)
Hsiao, Feng-Hsiag
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Xu, Sheng-Dong
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Wu, Shih-Lin
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Lee, Gwo-Chuan
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電控工程研究所
In this paper, the linear-quadratic-Gaussian (LQG) optimal control problem is considered and a robust minimax controller composed of the Kalman filter and the optimal regulator is synthesized to guarantee the asymptotic stability of the discrete time-delay systems under both parametric uncertainties and uncertain noise covariances. Designed procedures are finally elaborated with an illustrative example. (c) 2006 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.