scholarly journals State feedback impulsive control of computer worm and virus with saturated incidence

2018 ◽  
Vol 15 (6) ◽  
pp. 1465-1478
Author(s):  
Meng Zhang ◽  
◽  
Kaiyuan Liu ◽  
Lansun Chen ◽  
Zeyu Li ◽  
...  
Keyword(s):  
State Feedback ◽  
Impulsive Control ◽  
Saturated Incidence ◽  
Computer Worm

scholarly journals Chemostat Model of Competition between Plasmid-Bearing and Plasmid-Free Organism with the Impulsive State Feedback Control

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Fengmei Tao ◽  
Zhong Zhao ◽  
Lansun Chen
Keyword(s):  
Feedback Control ◽  
State Feedback ◽  
Impulsive Control ◽  
Continuous System ◽  
Threshold Value ◽  
State Feedback Control ◽  
Qualitative Properties ◽  
Chemostat Model ◽  
Impulsive State Feedback Control ◽  
The Stability

In this paper, we propose a chemostat model of competition between plasmid-bearing and plasmid-free organism with the impulsive state feedback control. The sufficient condition for existence of the positive period-1 solution is obtained by means of successor function and the qualitative properties of the corresponding continuous system. We show that the impulsive control system is more effective than the corresponding continuous system if we choose a suitable threshold value of the state feedback control in the process of manufacturing the desired products through genetically modified techniques. Furthermore, a new method of proving the stability of the order-1 periodic solution is given based on the theory of the limit cycle of the continuous dynamical system. Finally, mathematical results are justified by some numerical simulations.

scholarly journals Almost Periodic Synchronization of Fuzzy Cellular Neural Networks with Time–Varying Delays via State–Feedback and Impulsive Control

2019 ◽  
Vol 29 (2) ◽  
pp. 337-349 ◽  
Author(s):  
Yongkun Li ◽  
Huimei Wang ◽  
Xiaofang Meng
Keyword(s):  
Neural Networks ◽  
State Feedback ◽  
Impulsive Control ◽  
Cellular Neural Networks ◽  
Banach Fixed Point Theorem ◽  
Time Varying ◽  
Fuzzy Cellular Neural Networks ◽  
Almost Periodic ◽  
Response Systems ◽  
Linear Differential

Abstract In this paper, we are concerned with drive-response synchronization for a class of fuzzy cellular neural networks with time varying delays. Based on the exponential dichotomy of linear differential equations, the Banach fixed point theorem and the differential inequality technique, we obtain the existence of almost periodic solutions of this class of networks. Then, we design a state feedback and an impulsive controller, and construct a suitable Lyapunov function to study the problem of global exponential almost periodic synchronization for the drive-response systems considered. At the end of the paper, we provide an example to verify the effectiveness of the theoretical results.

scholarly journals Mittag-Leffler synchronization of delayed fractional-order bidirectional associative memory neural networks with discontinuous activations: state feedback control and impulsive control schemes

2017 ◽  
Vol 473 (2204) ◽  
pp. 20170322 ◽  
Author(s):  
Xiaoshuai Ding ◽  
Jinde Cao ◽  
Xuan Zhao ◽  
Fuad E. Alsaadi
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Associative Memory ◽  
State Feedback ◽  
Impulsive Control ◽  
State Feedback Control ◽  
Bidirectional Associative Memory ◽  
Discontinuous Activations ◽  
The Fixed Point Theorem ◽  
Discontinuous Activation Functions

This paper is concerned with the drive–response synchronization for a class of fractional-order bidirectional associative memory neural networks with time delays, as well as in the presence of discontinuous activation functions. The global existence of solution under the framework of Filippov for such networks is firstly obtained based on the fixed-point theorem for condensing map. Then the state feedback and impulsive controllers are, respectively, designed to ensure the Mittag-Leffler synchronization of these neural networks and two new synchronization criteria are obtained, which are expressed in terms of a fractional comparison principle and Razumikhin techniques. Numerical simulations are presented to validate the proposed methodologies.

A state feedback impulse model for computer worm control

2016 ◽  
Vol 85 (3) ◽  
pp. 1561-1569 ◽  
Author(s):  
Meng Zhang ◽  
Guohua Song ◽  
Lansun Chen
Keyword(s):  
State Feedback ◽  
Computer Worm ◽  
Impulse Model ◽  
Worm Control
Sign in / Sign up

Export Citation Format

Share Document