数学物理学报(英文版) ›› 2022, Vol. 42 ›› Issue (1): 283-298.doi: 10.1007/s10473-022-0116-x

• 论文 • 上一篇    下一篇

OPTIMAL CONTROL OF A POPULATION DYNAMICS MODEL WITH HYSTERESIS

陈斌1, Sergey A. TIMOSHIN1,2   

  1. 1. Fujian Province University Key Laboratory of Computational Science, School of Mathematical Sciences, Huaqiao University, Quanzhou, 362021, China;
    2. Matrosov Institute for System Dynamics and Control Theory, Russian Academy of Sciences, Lermontov str. 134, 664033, Irkutsk, Russia
  • 收稿日期:2020-06-15 修回日期:2020-10-21 出版日期:2022-02-25 发布日期:2022-02-24
  • 通讯作者: Sergey A. TIMOSHIN,E-mail:sergey.timoshin@gmail.com E-mail:sergey.timoshin@gmail.com
  • 作者简介:Bin CHEN,E-mail:chenbinmath@163.com
  • 基金资助:
    This work was supported by National Natural Science Foundation of China (12071165 and 62076104), Natural Science Foundation of Fujian Province (2020J01072), Program for Innovative Research Team in Science and Technology in Fujian Province University, Quanzhou High-Level Talents Support Plan (2017ZT012), and by Scientific Research Funds of Huaqiao University (605-50Y19017, 605-50Y14040). The research of the second author was also supported by Ministry of Science and Higher Education of Russian Federation (075-15-2020-787, large scientific project "Fundamentals, methods and technologies for digital monitoring and forecasting of the environmental situation on the Baikal natural territory").

OPTIMAL CONTROL OF A POPULATION DYNAMICS MODEL WITH HYSTERESIS

Bin CHEN1, Sergey A. TIMOSHIN1,2   

  1. 1. Fujian Province University Key Laboratory of Computational Science, School of Mathematical Sciences, Huaqiao University, Quanzhou, 362021, China;
    2. Matrosov Institute for System Dynamics and Control Theory, Russian Academy of Sciences, Lermontov str. 134, 664033, Irkutsk, Russia
  • Received:2020-06-15 Revised:2020-10-21 Online:2022-02-25 Published:2022-02-24
  • Contact: Sergey A. TIMOSHIN,E-mail:sergey.timoshin@gmail.com E-mail:sergey.timoshin@gmail.com
  • Supported by:
    This work was supported by National Natural Science Foundation of China (12071165 and 62076104), Natural Science Foundation of Fujian Province (2020J01072), Program for Innovative Research Team in Science and Technology in Fujian Province University, Quanzhou High-Level Talents Support Plan (2017ZT012), and by Scientific Research Funds of Huaqiao University (605-50Y19017, 605-50Y14040). The research of the second author was also supported by Ministry of Science and Higher Education of Russian Federation (075-15-2020-787, large scientific project "Fundamentals, methods and technologies for digital monitoring and forecasting of the environmental situation on the Baikal natural territory").

摘要: This paper addresses a nonlinear partial differential control system arising in population dynamics. The system consist of three diffusion equations describing the evolutions of three biological species:prey, predator, and food for the prey or vegetation. The equation for the food density incorporates a hysteresis operator of generalized stop type accounting for underlying hysteresis effects occurring in the dynamical process. We study the problem of minimization of a given integral cost functional over solutions of the above system. The set-valued mapping defining the control constraint is state-dependent and its values are nonconvex as is the cost integrand as a function of the control variable. Some relaxation-type results for the minimization problem are obtained and the existence of a nearly optimal solution is established.

关键词: optimal control problem, hysteresis, biological diffusion models, nonconvex integrands, nonconvex control constraints

Abstract: This paper addresses a nonlinear partial differential control system arising in population dynamics. The system consist of three diffusion equations describing the evolutions of three biological species:prey, predator, and food for the prey or vegetation. The equation for the food density incorporates a hysteresis operator of generalized stop type accounting for underlying hysteresis effects occurring in the dynamical process. We study the problem of minimization of a given integral cost functional over solutions of the above system. The set-valued mapping defining the control constraint is state-dependent and its values are nonconvex as is the cost integrand as a function of the control variable. Some relaxation-type results for the minimization problem are obtained and the existence of a nearly optimal solution is established.

Key words: optimal control problem, hysteresis, biological diffusion models, nonconvex integrands, nonconvex control constraints

中图分类号: 

  • 49J20