Maximum-amplitude solution of addition-min fuzzy relation inequalities considering the stability in the P2P network system

Author(s):  
Huanbin Xue ◽  
Xiao-Peng Yang
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 195447-195458
Author(s):  
Yanbo Ma ◽  
Xiaobin Yang ◽  
Bing-Yuan Cao

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Jun Zhang ◽  
Qingxue Huang

Mine-used bolter is the main equipment to solve the imbalance of excavation and anchor in well mining, and the manipulator is the main working mechanism of mine bolt drilling rig. The manipulator positioning requires high rapidity and stability. For this reason, this paper proposes a composite control method of “input shaping + fractional order PDμ control”. According to the mathematical model of the valve-controlled cylinder, the fractional-order controller PDμ is developed. At the same time, the input shaping is used to feed forward the accurate positioning and path planning of the manipulator, which not only improves the robustness of the system, but also shortens the stability time of the system and restrains the maximum amplitude of the system vibration. In this paper, the control effects of fractional order PDμ controller and integer order PD controller are compared. The results show that the maximum amplitude of the control system is reduced by 75% and the stabilization time is reduced by 60% after using the fractional order PDμ controller, which fully reflects the superiority of the fractional order controller in response speed, adjusting time, and steady-state accuracy. Finally, the control effects of “input shaping + fractional order PDμ control” and fractional order PDμ controller on the stability of the system are compared. The maximum amplitude of the system was reduced by 50% by using “input shaping + fractional order PDμ control”. Numerical simulation confirms the feasibility and effectiveness of the composite control method. This composite control method provides theoretical support for the precise positioning of the manipulator, and the high stability and high safety of the manipulator also expand the application scope and depth of the composite control method.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jiyang Ye ◽  
Bowen Huang ◽  
Xiaolong Chen

The development of personalized medical systems should be supported by a fast and stable network system. The FAST TCP network system is the appropriate support system for this purpose. However, when the FAST TCP is deployed, the static mapping selection method for protocol parameters is unable to guarantee the small queuing delay and fast convergence of the network simultaneously. By conducting theoretical analysis and simulation experiments, the relationships among FAST TCP protocol slow start condition, control law gain parameters, and FAST TCP system convergence rate were examined. To ensure the stability of the FAST TCP system and to select the smallest protocol parameters, an improved method to effectively accelerate the convergence velocity of the FAST TCP system is proposed in this study. In this method, the number of packets for staying in the buffer for FAST TCP connections was taken as the criterion of the slow start, and the gain parameter of the control law was dynamically adjusted according to the local information of each FAST TCP connection. Using this improved method, the FAST TCP system can achieve a stable and small queuing delay, whilst the FAST TCP system could converge quickly to the equilibrium point simultaneously.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Qianqian Gao ◽  
Hong Fan

The stability of banking system has caused wide concerns since the global financial crisis. The present paper focuses on studying the stability of a banking network system in the case that the banking network system suffers the dynamic macroeconomic fluctuation shocks. We firstly construct a banking network system with a scale-free structure, then let the banking network system suffer the dynamic macroeconomic fluctuation (here, we consider three kinds of situations; the macro economy fluctuates in downward, upward, and random trends, respectively). Then, we study the stability of the banking network system under each situation. Firstly, the results show that the scale-free topology has an important effect on the stability of the banking network system at each macroeconomic fluctuation situation. Secondly, the investment payback period and the ratio of investment to deposit have a large effect on the stability of the banking network system in the cases of dynamic macroeconomic fluctuation. In addition, our further studies find that there is an optimal ratio of the investment to deposit under various macroeconomic fluctuation scenarios, which divides the banking system into stable and unstable regions. Finally, we discuss the regulation strategies for banks, which may provide decision supports for the relevant regulatory authority.


Author(s):  
Takayuki Hisada ◽  
Yusuke Hirota ◽  
Hideki Tode ◽  
Koso Murakami

2013 ◽  
Vol 803 ◽  
pp. 423-429 ◽  
Author(s):  
Xiu Zhen Yu ◽  
Zhong Hu Yuan ◽  
Wen Wu Hua ◽  
Oluleke Bamodu

This paper proposes a method that automatically adjusts the transmission power of ZigBee end-devices based on received signal strength indication (RSSI). Under normal communication condition, automatically adjusting the transmission power of ZigBee end-devices by constructing a negative feedback control system, and it uses the controller with relay characteristics, keep it in the smallest state of transmission power, which effectively reduces the energy consumption of the end-devices. Compared with the traditional methods of statically adjusting transmission power, experimental results show that the method proposed is more suitable for network with frequently status changes, making the stability and low-power performance of ZigBee network system significantly improved.


2021 ◽  
Author(s):  
Ginno Millán

Developing an effective flow control algorithm to avoid congestion is a hot topic in computer network society. This paper gives a mathematical model for general network at first, and then discrete control theory is proposed as a key tool to design a new flow control algorithm for congestion avoidance in high speed network, the proposed algorithm assures the stability of network system. The simulation results show that the proposed method can adjust the sending rate and queue level in buffer rapidly and effectively. The method is easy to implement and apply to high-speed computer network.


2021 ◽  
Author(s):  
Qing Hu ◽  
Jianwei Shen

Abstract Time delays can induce the loss of stability and degradation of performance. In this paper, the pattern dynamics of a prey-predator network with diffusion and delay are investigated, where the inhomogeneous distribution of species in space can be viewed as a random network, and delay can affect the stability of the network system. Our results show that time delay can induce the emergence of Hopf and Turing bifurcations, which are independent of the network, and the conditions of bifurcation are derived by linear stability analysis. Moreover, we find that the Turing pattern can be related to the network connection probability. The Turing instability region involving delay and network connection probability is obtained. Finally, the numerical simulation verifies our results.


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