当前位置:
X-MOL 学术
›
IET Syst. Biol.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
State Feedback and Synergetic controllers for tuberculosis in infected population.
IET Systems Biology ( IF 2.3 ) Pub Date : 2021-03-30 , DOI: 10.1049/syb2.12013 Muhammad Bilal,Iftikhar Ahmad,Sheraz Ahmad Babar,Khurram Shahzad
IET Systems Biology ( IF 2.3 ) Pub Date : 2021-03-30 , DOI: 10.1049/syb2.12013 Muhammad Bilal,Iftikhar Ahmad,Sheraz Ahmad Babar,Khurram Shahzad
Tuberculosis (TB) is a contagious disease which can easily be disseminated in a society. A five state Susceptible, exposed, infected, recovered and resistant (SEIRs) epidemiological mathematical model of TB has been considered along with two non-linear controllers: State Feedback (SFB) and Synergetic controllers have been designed for the control and prevention of the TB in a population. Using the proposed controllers, the infected individuals have been reduced/controlled via treatment, and susceptible individuals have been prevented from the disease via vaccination. A mathematical analysis has been carried out to prove the asymptotic stability of proposed controllers by invoking the Lyapunov control theory. Simulation results using MATLAB/Simulink manifest that the non-linear controllers show fast convergence of the system states to their respective desired levels. Comparison shows that proposed SFB controller performs better than Synergetic controller in terms of convergence time, steady state error and oscillations.
中文翻译:
受感染人群中结核病的状态反馈和协同控制。
结核病(TB)是一种容易在社会中传播的传染病。考虑了结核病的易感、暴露、感染、恢复和耐药(SEIRs)五种状态流行病学数学模型以及两个非线性控制器:状态反馈(SFB)和协同控制器已被设计用于控制和预防结核病在一个人口中。使用所提出的控制器,已通过治疗减少/控制了受感染的个体,并通过疫苗接种预防了易感个体的疾病。通过调用 Lyapunov 控制理论,进行了数学分析以证明所提出的控制器的渐近稳定性。使用 MATLAB/Simulink 的仿真结果表明,非线性控制器显示出系统状态快速收敛到各自所需的水平。比较表明,所提出的 SFB 控制器在收敛时间、稳态误差和振荡方面优于 Synergetic 控制器。
更新日期:2021-03-30
中文翻译:
受感染人群中结核病的状态反馈和协同控制。
结核病(TB)是一种容易在社会中传播的传染病。考虑了结核病的易感、暴露、感染、恢复和耐药(SEIRs)五种状态流行病学数学模型以及两个非线性控制器:状态反馈(SFB)和协同控制器已被设计用于控制和预防结核病在一个人口中。使用所提出的控制器,已通过治疗减少/控制了受感染的个体,并通过疫苗接种预防了易感个体的疾病。通过调用 Lyapunov 控制理论,进行了数学分析以证明所提出的控制器的渐近稳定性。使用 MATLAB/Simulink 的仿真结果表明,非线性控制器显示出系统状态快速收敛到各自所需的水平。比较表明,所提出的 SFB 控制器在收敛时间、稳态误差和振荡方面优于 Synergetic 控制器。