Coverage-optimization based guidance of mobile agents for improved control of distributed parameter systems  

作　　者：ZHUANG Bo CUI Baotong WU Wei JIANG Zhengxian 

机构地区：[1]School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China [2]Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Wuxi 214122, China

出　　处：《Journal of Systems Engineering and Electronics》2019年第3期601-612,共12页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61807016; 61174021);the Fundamental Research Funds for the Central Universities(JUSRP115A28; JUSRP51733B);the 111 Projeet(B12018);the Postgraduate Innovation Project of Jiangsu Province(KYLX151170)

摘　　要：The control problem of a class of parabolic distributed parameter systems (DPSs) is investigated by using mobile agents with capabilities of sensing and actuating. The guidance strategies of mobile agents based on coverage optimization methods are proposed to improve the control performance of the system and make the state norm of the system converge to zero faster. The coverage optimization problems are constructed based on the measurement of each agent. By solving the coverage optimization problems, the local optimal moving direction of each agent can be obtained. Then the gradient-based agent motion control laws are established. With the indicator function and the surface delta function, this method is generalized to n-dimensional space, and suitable for any sensing region with piecewise smooth boundaries. The stability and control performance of the system are analyzed. Numerical simulations show the effectiveness of the proposed methods.The control problem of a class of parabolic distributed parameter systems(DPSs) is investigated by using mobile agents with capabilities of sensing and actuating. The guidance strategies of mobile agents based on coverage optimization methods are proposed to improve the control performance of the system and make the state norm of the system converge to zero faster. The coverage optimization problems are constructed based on the measurement of each agent. By solving the coverage optimization problems, the local optimal moving direction of each agent can be obtained. Then the gradient-based agent motion control laws are established. With the indicator function and the surface delta function, this method is generalized to n-dimensional space, and suitable for any sensing region with piecewise smooth boundaries. The stability and control performance of the system are analyzed. Numerical simulations show the effectiveness of the proposed methods.

关 键 词：distributed parameter systems (DPSs) mobile AGENTS COVERAGE OPTIMIZATION INDICATOR function 

分 类 号：N[自然科学总论]