This paper classifies multi-agent systems under switching topologies (switched MAS) into four categories based on the connectivity of their subsystems. The analysis focuses on proving finite-time average consensus under typical protocols using Lyapunov stability theory for two categories, namely switched MASs with fully connected subsystems and those with partially connected subsystems. Moreover, the consensus analysis also addresses a third category, where all subsystems are completely disconnected and remain disconnected under their combinatorial topologies. The results establish the condition under which the first two categories achieve finite-time average consensus under typical protocols and provide upper bounds on convergence time. These analyses also reveal the influence of several factors on system convergence time, such as the algebraic connectivity of the network topology and the dwell time. Simulations were conducted to verify the effectiveness of the above results.

针对多智能体系统,本文提出了一种新型的有限时间平均一致性协议.基于Lyapunov稳定性理论,证明了系统在该协议控制下的稳定性,并得出了系统收敛时间的上限.通过与典型有限时间一致性协议的控制输入进行对比,得出该协议可以有效提高系统的收敛速度.最后,应用仿真实例对本文结论进行了验证.

Multi-agent consensus has been widely applied in engineering. A novel protocol that can achieve an average state consensus for multi-agent systems in finite time is presented in this paper. The proposed protocol contains a non-linear and a linear term. The state consensus is achieved in finite time by the non-linear term and convergence performance is improved by the linear term to some degree. The protocol can be applied to systems with a switching topology as long as the communication graph is always undirected and connected. The upper bound of convergence time is obtained. The relationship between convergence time and protocol parameter, communication topology and initial state is analysed. Lastly, simulations are conducted to verify the effectiveness of the results.

Multi-robot consensus has been extensively applied in robotics. In this study, a new protocol is proposed to solve the finite-time average consensus problem. The protocol can improve the convergence rate. The upper bound of the convergence time is obtained. Analysis shows that there exists a limit value of the convergence time when the disagreement of initial states tends to be infinitely large, and the value is irrelevant to the initial states. The relationship between convergence time and initial states, communication topology, parameter is analysed. Lastly, the effectiveness of the results is verified by simulations.

Multi-agent consensus has been widely applied in engineering. The multi-agent consensus problem is studied in this paper. The protocol based on the event-triggered control is presented. The stability of the system is proved. The decay factor is introduced to the threshold function. Then the relationship between the decay factor and the trigger frequency, the convergence time and the inter-event time is studied emphatically. Lastly, simulations are conducted to verify the effectiveness of the conclusions.

We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence time is obtained. The relationship between the convergence time and protocol parameter with initial state is analyzed. Lastly, simulations are conducted to verify the effectiveness of the results.

In this paper, finite time state consensus problem for networks of dynamic agent is discussed, a new protocol guaranteeing the state of multi-agent reaching an consensus in finite time is proposed. The protocol contains both a nonlinear term and a linear term, the nonlinear term can guarantee that the consensus can be realized in finite time, and the linear term can reduce the convergence time. The upper bound of convergence time is obtained, the relationship among the convergence time with the communication topology and the initial state is analyzed. Finally, several simulations are presented to show the effectiveness of the results.

In order to solve the problems of complicated wiring and inconvenient operation existing in traditional pressure sensor, based on the surface acoustic wave (SAW) theory, a wireless passive pressure sensor with hollow cylinder sealing beam structure is designed in this paper. The sensor is resistant to electromagnetic interference, and the temperature compensation is adopted to obtain the strain that the pressure causes exactly. In addition, the mechanical properties analysis and finite element simulation analysis about the structure is done to verify its effectiveness in this paper. Based on the principle of SAW, this sensor can form a complete sense of passive wireless sensor system. Compared to traditional pressure sensor, the sensor designed in this paper has a high accuracy and application flexibility.

A novel wireless passive SAW (Surface Acoustic Wave) soil pressure sensor based on delay line theory is designed in this paper. The principle of the sensor is described, and also the mechanical properties analysis and Finite Element Simulation analysis about the piezoelectric substrate is done to verify the effectiveness of the sensor. With hollow cylindrical bottom sealing piezoelectric substrate, and not involving electron mobility inside the crystal, the sensor is immune to electromagnetic interference factors; moreover the piezoelectric substrate adopts ST-X cut quartz crystal materials that is little affected by temperature, so it is also not affected by temperature factor. Sensors based on the principle of SAW, can form a complete sense of passive wireless sensor system. Therefore, compared to traditional pressure sensor, the sensor designed in this paper has a high accuracy and application flexibility.

—In view of the inefficiency of coding, the complexity of signal extraction and the strict demands of machining in the existing multiple SAW tags system, an anti-collision technique based on Walsh Code was proposed. First, it encodes the 2PSK using the single antenna transmission structure, then it implements the orthogonal encoding of each tag in a multiple SAW tags system using Walsh coding, and finally the encoding information of each tag is acquired by reading the echo signals from the reader and doing cross-correlation operation with each code block in the orthogonal code-set. The proposed approach incorporates both the coding efficiency and the processing technology, simplifies the complexity of signal extraction, and achieves the goal of anti-collision of multiple SAW tags system. The theoretical analysis and simulation verify the feasibility of this technique.

The importance of harbor wharf determines that we must grasp its health state in real time. First of all, this paper analyzes various harbor wharf damage forms, and builds its structure health monitoring system, then it points out the importance of signal processing in structural health monitoring. Wavelet analysis, as a new tool to data processing, with its advantages now is widely used in many fields. In this paper, the application of wavelet analysis in the harbor wharf structure is introduced, including signal denoising, signal compression and damage identification. Finally, this paper puts forward the research direction of wavelet analysis in structural health monitoring.

This paper is concerned with the stability of T-S model based fuzzy control systems for continuous, linear time-invariant plant. In contrast to the Lyapunov function based methods, virtual equivalent system (VES) concept and methodology is adopted to address the stability issue of T-S model based fuzzy control systems. The stability of the VES is identical to that of the corresponding T-S model based fuzzy control system. The results developed in this paper indicate that the stability of T-S model based fuzzy control systems depends mainly on the following conditions: first, the local models cover the uncertainty of the plant to be controlled; second, the normalized membership function identifies the true model(s) of the plant, or the closest model(s) to the plant; third, each local controller stabilizes its corresponding local model.