Quantized Feedback Control for Markov Jump Linear Systems with Incomplete Transition Probabilities

摘要：

　　This paper considers the quantized feedback control for Markov jump linear systems with incomplete transition probabilities where the effect of current mode observation logarithmic quantizer is counted for.A sufficient condition is proposed in the framework of linear matrix inequalities.Therefore,the coarsest quantization density can be obtained using an optimization problem with convex constraints.A numerical example illustrates the effectiveness of proposed scheme.

作者: Zhiqiang Zuo Chang Liu Yijing Wang

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 762-766

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）