Adaptive Congestion Control via Dynamic Output Feedback

2014 ◽  
Vol 571-572 ◽  
pp. 30-33 ◽  
Author(s):  
Cun Wu Han ◽  
De Hui Sun ◽  
Lei Liu ◽  
Song Bi

This paper presents an adaptive congestion control algorithm for Internet with time-varying uncertainties. The controller is designed via dynamic output feedback. Simulation result shows that the proposed algorithm has good performance.

2014 ◽  
Vol 651-653 ◽  
pp. 620-623
Author(s):  
Song Bi ◽  
Feng Mei Zhang ◽  
Cun Wu Han ◽  
Lei Liu ◽  
De Hui Sun

This paper presents a fault-tolerant congestion control algorithm for Internet via dynamic output feedback. The controller is designed based on adaptive technique and robust H∞ approach. Simulation result is given to verify the effectiveness of the proposed algorithm.


2014 ◽  
Vol 556-562 ◽  
pp. 2285-2288 ◽  
Author(s):  
Cun Wu Han ◽  
De Hui Sun ◽  
Lei Liu

Existing Internet congestion control algorithms did not consider time-varying uncertainties. This paper presents a new congestion control algorithm based on adaptive technique and robust H∞ approach, which can effectively compensate for the time-varying uncertainties. Simulation result shows that the proposed algorithm has good performance.


2018 ◽  
Vol 40 (14) ◽  
pp. 4078-4088
Author(s):  
Chao Liang ◽  
Chenxiao Cai ◽  
Jing Xu

The paper mainly deals with the problem of finite-time stabilization of linear time-varying systems. A dynamic output feedback controller is designed, which is able to stabilize the linear time-varying systems in finite time. By virtue of extended piecewise constant method, novel criteria for the existence of a dynamic output feedback controller is established in terms of linear matrix inequalities. Compared with the existing method, the proposed method is more efficient from a computational point of view. A simulation is given to illustrate the effectiveness of the obtained result.


Author(s):  
Guoqi Ma ◽  
Xinghua Liu ◽  
Prabhakar R. Pagilla ◽  
Shuzhi Sam Ge

In this technical brief, we provide an asynchronous modified repetitive controller design to address the periodic trajectory tracking problem for switched systems with time-varying switching delays between plant modes and controllers. In the feedback channel, a dynamic output feedback mechanism is adopted. By utilizing the lifting technique, the dynamic output feedback-based switched repetitive control system is transformed into a continuous-discrete two-dimensional (2D) model to differentiate the control and learning actions involved in the repetitive controller. For the transformed 2D model, by constructing a piecewise Lyapunov functional and utilizing a matrix decomposition approach, sufficient conditions in terms of linear matrix inequalities (LMIs) and the average dwell time are developed to guarantee closed-loop exponential stability. The performance of the proposed approach is illustrated via a switched RLC series circuit example and numerical simulations are provided.


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