Event-triggered control (ETC) has been proposed in the networked control systems (NCSs) literature to reduce the need of data transmissions, and the main focus has been on the design of ETC mechanisms with a guaranteed positive minimum of inter-event time (MIET) and hence avoiding Zeno phenomena. In this paper, we propose a design of an aperiodic ETC mechanism for general nonlinear NCSs. In our setup, the communication network could introduce variable transmission delays, while data packets could get lost without acknowledgements. For this, we first introduce auxiliary variables dependent upon the transmission situations to capture the relationship between the number of successive packet dropouts, MIETs, transmission delays and the number of successful packets being transmitted. Meanwhile, by designing appropriate jump rules of these variables, the changing process of the network-induced errors can be tracked. Then, we present a novel output-based dynamic ETC strategy that can simultaneously guarantee a finite $L_{p}$ -gain and a strictly positive lower bound despite the presence of packet losses and transmission delays. In particular, the mandatory limit of short delays can be avoided, and the transmission delays exceeding the positive MIETs are allowed. Finally, a numerical example is given to verify the correctness and effectiveness of the proposed control approach.

The prediction of cutterhead torque of earth pressure balance (EPB) shield machine is mainly studied. First, the idea of shield tunneling stage division is proposed. The process of shield tunneling from start to stop (or pause) is divided into start-up and stationary driving stages. Using the change point detection method based on linear regression, the separation points between start-up stage and stationary driving stage are identified from the original construction data, and the datasets of the two stages are extracted, respectively. Then, for the start-up stage, the linear regression method is suggested for the cutterhead torque prediction, since there is a strong linear correlation between the key parameters such as the cutterhead torque and the thrust force. Meanwhile, for the stationary driving stage, considering the fact that the key parameters vary smoothly and show obvious inertia, the long short-term memory (LSTM) network method can be used to establish the relationship model between cutterhead torque and other key parameters, such as the thrust force. Through the test experiments of construction data in Zhengzhou, Luoyang, and Dalian shield projects, the results show that the proposed segmented modeling method possesses good adaptability and the cutterhead torque prediction model has high prediction accuracy.

This paper investigates the problem of H _∞ stabilization for nonuniform sampling fuzzy systems. To achieve better performance, a parallel distributed compensation scheme is proposed to design a nonlinear controller. By taking the deviation bounds of asynchronous normalized membership functions into account, the H _∞ stability criterion is first obtained, which is dependent on the deviation bounds of asynchronous normalized membership functions. To reduce the computational complexity, a method for eliminating slack variables and a structured vertex separator for reducing the number of linear matrix inequalities are provided, and then an H _∞ stabilization criterion with less complexity and less conservatism is obtained. Finally, an illustrative example is given to show the effectiveness of the proposed method and the significant improvement on the existing results.

The stability analysis of networked switched systems becomes highly challenging when multiple factors—such as frequent switching, denial-of-service (DoS) attacks, transmission delays, and actuator faults—coexist under an event-triggered mechanism (ETM). These intertwined factors cause complex timing mismatches that invalidate most synchronization-based control frameworks. To address this challenge, this article proposes a resilient event-triggered fault-tolerant control strategy that captures multisource asynchrony by classifying multiple key instants and modeling their interactions through a Lyapunov-based scheme. Unlike most existing studies that rely on synchronized switching assumptions or oversimplify the timing structure by ignoring delays and DoS attacks, this work explicitly incorporates these asynchronous phenomena into a unified analytical framework. First, to ensure timely packet transmission, a hybrid ETM is designed by combining time-triggering and event-triggering conditions. A switched Lyapunov function is then constructed by classifying different intervals, thereby unifying the analysis of asynchronous behaviors and DoS-induced disruptions. Furthermore, a resilient codesign strategy is developed, where the event-triggered parameters and fault-tolerant control gains are jointly designed under an explicit trade-off among the average dwell time parameter of switching signals, DoS attack parameters, and the sampling period. Under the proposed framework, global exponential stability with $H_{\infty } $ performance is guaranteed despite the presence of transmission delays, actuator faults, and DoS attacks. Finally, the effectiveness of the proposed method is demonstrated using a quarter-vehicle suspension system.

This paper studies the decentralized routing control of data communication networks. Taking the physical constraints on the data flow and the network-induced delays into consideration, the decentralized routing control problem is reformulated as a constrained control problem, and the restriction of initial message lengths is no longer needed. By defining a general Lyapunov functional and applying a reciprocally convex combination technique to deal with the network-induced delays, less conservative and less complex designing conditions are obtained in terms of linear matrix inequalities (LMIs). A simulation example is also given to illustrate the effectiveness of the proposed designing scheme.