Stochastic utility-based flow control algorithm for services with time-varying rate requirements

2012 ◽  
Vol 56 (4) ◽  
pp. 1329-1342 ◽  
Author(s):  
Byung-Gook Kim ◽  
Jang-Won Lee
Keyword(s):  
Flow Control ◽  
Control Algorithm ◽  
Time Varying

Event Triggered-Based Flow Control Algorithm for Mixed Traffic in Wireless Sensor Networks

2014 ◽  
Vol 24 (8) ◽  
pp. 2151-2164 ◽  
Author(s):  
Shu-Sheng WEN ◽  
Jiong HUANG ◽  
Ting SHU ◽  
Wei-Qiang XU ◽  
Ya-Ming WANG
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Flow Control ◽  
Control Algorithm ◽  
Wireless Sensor ◽  
Mixed Traffic ◽  
Event Triggered

A Dynamic Flow Control Algorithm for LTE-Advanced Relay Networks

2014 ◽  
Vol 63 (1) ◽  
pp. 334-343 ◽  
Author(s):  
Ping-Chen Lin ◽  
Ray-Guang Cheng ◽  
Yu-Jen Chang
Keyword(s):  
Flow Control ◽  
Control Algorithm ◽  
Relay Networks ◽  
Dynamic Flow ◽  
Lte Advanced

Study of Hydraulic Servo System Based on Fuzzy Sliding Mode Algorithm

2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu
Keyword(s):  
Control Algorithm ◽  
Sliding Mode ◽  
Servo System ◽  
Time Varying ◽  
External Interference ◽  
System A ◽  
Hydraulic Servo ◽  
Fuzzy Sliding Mode ◽  
Hydraulic Servo System ◽  
Position Servo

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.

Adaptive altitude flight control of quadcopter under ground effect and time-varying load: theory and experiments

2021 ◽  
pp. 107754632110501
Author(s):  
Ji-Won Lee ◽  
Nguyen Xuan-Mung ◽  
Ngoc Phi Nguyen ◽  
Sung Kyung Hong
Keyword(s):  
Flight Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Ground Effect ◽  
Lyapunov Theory ◽  
Control Technique ◽  
Time Varying ◽  
Control Performance ◽  
Parameter Uncertainties ◽  
Altitude Control

In recent years, the boom of the quadcopter industry resulted in a broad range of real-world applications which highlighted the urgent need to improve quadcopter control quality. Typically, external disturbances, such as wind, parameter uncertainties caused by payload variations, or the ground effect, can severely degrade the quadcopter’s altitude control performance. Meanwhile, widely used controllers like the proportional-integral-derivative control cannot guarantee control performance when the system is critically affected by factors that exhibit a high degree of variability with time. In this paper, an adaptive control algorithm is proposed to improve quadcopter altitude tracking performance in the presence of both the ground effect and a time-varying payload. First, we derive an adaptive altitude control algorithm using the sliding mode control technique to account for these uncertainties in the quadcopter dynamics model. Second, we apply Lyapunov theory to analyze the stability of the closed-loop system. Finally, we conduct several numerical simulations and experiments to validate the effectiveness of the proposed method.

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