A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties

Event-Triggering State and Fault Estimation for a Class of Nonlinear Systems Subject to Sensor Saturations

“…Set initial valuesx 0 =x 0 and Σ x 0 = P x 0 , the length of time horizon N and k = 0; 2. Calculate the fault estimator gain matrix L * k according to (24), the upper bound of the fault estimation error covariance Σ f k * via (25), and the fault estimatef k according to (7); 3. Calculate the state estimator gain matrix G * k according to (34), the upper bound of the state estimation error covariance Σ x k * via (35), and the state estimatex k according to (7); 4.…”

“…Under the ETM the current measurement will be transmitted only when the predefined triggering condition is met, and thereby the transmission numbers can be reduced largely. Based on this idea, various control and filtering issues under the ETM have been studied, see e.g., [ 6 , 24 , 25 , 26 ]. Very recently, considerable research attention has been paid on the event-triggering fault estimation issue owing to its vital role in the practical engineering.…”

Mobile robot localization under stochastic communication protocol

“…In this paper, our objective is to design a filter of structure (15) such that the error dynamic system (16) satisfies the following performance requirement…”

“…However, the transmission of the measurement data will increase the burden of communication network as the number of sensors increases. In order to ease the network burden or avoid the network congestion, the communication protocols have been often adopted in the networked systems such as weighted try-oncediscard protocol [39], round-robin protocol [6,26], event-triggered protocol [11,15,20,29], stochastic communication protocol (SCP) [9,38], and so on.…”

Active disturbance rejection switching control of quadrotor based on robust differentiator

“…Therefore, it is necessary to find a simple and efficient control algorithm that has the characteristics of anti-disturbance and robustness. Huang (2019) investigated for a class of discrete time-varying systems with censored measurements and parameter uncertainties. Shen (2019) design a finite-horizon filter such that an upper bound is guaranteed and the filter gain minimizing such an upper bound is subsequently obtained in terms of the solution to a set of recursive equations.…”