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A DISCRETE TIME TWO-LEVEL MIXED SERVICE PARALLEL POLLING MODEL 被引量:6
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作者 GuanZheng ZhaoDongfeng ZhaoYifan 《Journal of Electronics(China)》 2012年第1期103-110,共8页
We present a discrete time single-server two-level mixed service polling systems with two queue types, one center queue and N normal queues. Two-level means the center queue will be successive served after each normal... We present a discrete time single-server two-level mixed service polling systems with two queue types, one center queue and N normal queues. Two-level means the center queue will be successive served after each normal queue. In the first level, server visits between the center queue and the normal queue. In the second level, normal queues are polled by a cyclic order. Mixed service means the service discipline are exhaustive for center queue, and parallel 1-limited for normal queues. We propose an imbedded Markov chain framework to drive the closed-form expressions for the mean cycle time, mean queue length, and mean waiting time. Numerical examples demonstrate that theoretical and simulation results are identical the new system efficiently differentiates priorities. 展开更多
关键词 Polling model PRIORITY TWO-LEVEL Mixed-service Waiting time
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Dissipative-based adaptive neural control for nonlinear systems
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作者 YugangNIU XingyuWANG JunweiLU 《控制理论与应用(英文版)》 EI 2004年第2期126-130,共5页
A dissipative-based adaptive neural control scheme was developed for a class of nonlinear uncertain systems with unknown nonlinearities that might not be linearly parameterized. The major advantage of the present work... A dissipative-based adaptive neural control scheme was developed for a class of nonlinear uncertain systems with unknown nonlinearities that might not be linearly parameterized. The major advantage of the present work was to relax the requirement of matching condition, i.e., the unknown nonlinearities appear on the same equation as the control input in a state-space representation, which was required in most of the available neural network controllers. By synthesizing a state-feedback neural controller to make the closed-loop system dissipative with respect to a quadratic supply rate, the developed control scheme guarantees that the L2-gain of controlled system was less than or equal to a prescribed level. And then, it is shown that the output tracking error is uniformly ultimate bounded. The design scheme is illustrated using a numerical simulation. 展开更多
关键词 Nonlinear systems Adaptive control Dissipative theory Neural networks
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The Proof of Inseparable Prime AW^*—Algebras Being Primitive C^*—Algebras
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作者 LunChuanZHANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2003年第2期413-416,共4页
The relation between the inseparable prime C*-algebras and primitive C*-algebras is studied, and we prove that prime AW*-algebras are all primitive C*-algebras.
关键词 Prime C* ALGEBRAS Primitive C* ALGEBRAS AW* ALGEBRAS Hereditary C* SUBALGEBRAS
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