Yongqian Wang;Zhenghao Ni;Jing Wang;Ju H. Park;Hao Shen
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引用次数: 0
Abstract
This brief addresses the problem of asynchronous reduced-order filtering for Markov jump systems. The communication between the reduced-order filters and the systems is transmitted through the network. On the one hand, quantization is considered to save network resources; on the other hand, due to the measurement may not be perfect, the system information is a hidden component (i.e., it possesses inaccessibility), therefore reduced-order filters are designed by using the hidden Markov model. Then, the random stability of the plant is guaranteed by a set of conditions derived according to Lyapunov theory. Subsequently, the gains of the designed filters are obtained through decoupling. Finally, the effectiveness of the proposed approach in this brief is confirmed by utilizing a pulse-width-modulation-driven boost converter.
期刊介绍:
TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes:
Circuits: Analog, Digital and Mixed Signal Circuits and Systems
Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic
Circuits and Systems, Power Electronics and Systems
Software for Analog-and-Logic Circuits and Systems
Control aspects of Circuits and Systems.