Protocol-Based Asynchronous Filtering for Interval Type-2 Fuzzy Systems With Time-Varying Saturation Function
研究了区间二型模糊系统在时变饱和函数下的协议异步滤波问题，通过两个独立马尔可夫过程描述传感器节点间歇故障和传输序列随机性，并采用事件触发协议减少数据碰撞、提高网络利用率，最后用两个例子验证了理论结果的有效性。
This study is concerned with protocol-based asynchronous filtering for interval type-2 (IT2) fuzzy systems subject to time-varying saturation functions. Two mutually independent Markov processes are proposed to characterize the random manners of intermittently failure and transmission sequence of sensor nodes, and a new joint Markov process is formulated by adopting the merging technique. Aiming at curbing the data collision and improving network utilization in the restricted network, an ETRP is implemented to govern whether to orchestrate the packets and which one to be launched simultaneously. A novel asynchronous filter is formulated under the constraint of saturation with the hope to improve filtering performance. This construction involves the dynamic adaptation of the saturation level in tandem with the estimation error. Additionally, the mismatched modes between the newly joined Markov process and filter are characterized by a hidden Markov model. Eventually, two examples are applied to verify the availability of the theoretical results.