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首页> 外文期刊>International Journal of Advanced Robotic Systems >Passivity-based filtering for networked semi-Markov robotic manipulators with mode-dependent quantization and event-triggered communication
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Passivity-based filtering for networked semi-Markov robotic manipulators with mode-dependent quantization and event-triggered communication

机译:具有模式相关量化和事件触发通信的网络半马尔可夫机器人操纵器的基于被动的过滤

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摘要

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.
机译:在本文中,在通过框架下研究了一类具有半马尔可夫型参数的机器人操纵器的网络过滤问题。 特别地,依赖于模式的量化和事件触发的通信方案都提出用于增加网络传输效率。 首先通过选择依赖模式的Lyapunov-krasovskii功能来衍生足够的稳定性条件。 然后,在矩阵凸优化的帮助下进一步设计依赖于依赖的滤波器增益和事件触发参数。 最后,提供了一种模拟示例,使得所提出的过滤方法的有效性可以很好地证明。

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