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MANIPULATION

Passivity-based filtering for networked semi-Markov robotic manipulators with mode-dependent quantization and event-triggered communication

Yidao Ji, Wei Wu, Hang Fu, Hong Qiao

Year
2021
Citations
5
Access
Open access

Abstract

In this article, the networked filtering problem for a class of robotic manipulators with semi-Markov type parameters is investigated under the passivity framework. In particular, the mode-dependent quantization and event-triggered communication scheme are both proposed for increasing the network transmission efficiency. Sufficient stability conditions are first derived by choosing mode-dependent Lyapunov–Krasovskii functionals. Then, the mode-dependent filter gains and the event-triggering parameters are further designed with the help of matrix convex optimization. In the end, a simulation example is provided such that the effectiveness of the proposed filtering method can be well demonstrated.

Keywords

Computer scienceControl theory (sociology)Quantization (signal processing)PassivityMode (computer interface)Convex optimizationTransmission (telecommunications)Markov chainLyapunov stabilityRegular polygon

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