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

doi:10.21629/JSEE.2019.03.17

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (3): 601-612.doi: 10.21629/JSEE.2019.03.17

• Control Theory and Application • Previous Articles Next Articles

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

Bo ZHUANG^1,^2,*(), Baotong CUI^1,²(), Wei WU^1,²(), Zhengxian JIANG²()

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

Received:2018-02-22 Online:2019-06-01 Published:2019-07-04
Contact: Bo ZHUANG E-mail:bozhuang@jiangnan.edu.cn;btcui@jiangnan.edu.cn;weiwu@jiangnan.edu.cn;zhengxian@jiangnan.edu.cn
About author:ZHUANG Bo was born in 1976. He received his B.S. degree in computer science and education and his M.Sc. degree in computer science and technology from Shandong Normal University in 1999 and 2008, respectively. He is currently a Ph.D. candidate in the School of IoT Engineering, Jiangnan University. His current research interests include distributed parameter systems, and multi-agent systems. E-mail:bozhuang@jiangnan.edu.cn|CUI Baotong was born in 1960. He received his Ph.D. degree in control theory and control engineering from the College of Automation Science and Engineering, South China University of Technology, in 2003. He was a post-doctoral fellow at Shanghai Jiaotong University from July 2003 to September 2005, and a visiting scholar at Department of Electrical and Computer Engineering, National University of Singapore from August 2007 to February 2008. He is now a professor in the School of IoT Engineering, Jiangnan University. His current research interests include systems analysis, stability theory, artificial neural networks and chaos synchronization. E-mail:btcui@jiangnan.edu.cn|WU Wei was born in 1981. He received his M.Sc. degree in information and automation from Jiangnan University, and his Ph.D. degree in control theory from University of Kaiserslautern, Germany, in 2007 and 2014, respectively. Since 2015, he has been an associate professor in the School of IoT Engineering, Jiangnan University. His current research interests include nonlinear control systems, networked and event-triggered control systems and control of aerial systems. E-mail:weiwu@jiangnan.edu.cn|JIANG Zhengxian was born in 1978. She received her B.S. degree in mathematics and her M.S. degree in applied mathematics from Soochow University in 2000 and 2006, respectively. She received her Ph.D. degree from the School of IoT Engineering, Jiangnan University in 2016. She is currently an associate professor in Jiangnan University. Her current research interests include distributed parameter systems and multi-agent systems. E-mail:zhengxian@jiangnan.edu.cn
Supported by:
the National Natural Science Foundation of China(61807016);the National Natural Science Foundation of China(61174021);the Fundamental Research Funds for the Central Universities(JUSRP115A28);the Fundamental Research Funds for the Central Universities(JUSRP51733B);the 111 Projeet(B12018);the Postgraduate Innovation Project of Jiangsu Province(KYLX15_1170);This work was 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) and the Postgraduate Innovation Project of Jiangsu Province (KYLX15_1170)

Abstract

Abstract:

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.

Key words: distributed parameter systems (DPSs), mobile agents, coverage optimization, indicator function

Bo ZHUANG, Baotong CUI, Wei WU, Zhengxian JIANG. Coverage-optimization based guidance of mobile agents for improved control of distributed parameter systems[J]. Journal of Systems Engineering and Electronics, 2019, 30(3): 601-612.

Figures/Tables 8

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References 33

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Algorithm	CG	VG	Cum $L_{2}$
Open loop	–	–	1.086 5
Fixed	5	0	0.676 5
CVT	5	6	0.530 6
LBG	5	692	0.539 7
COB	5	6	0.502 7

Algorithm	CG	Cum $L_{2}$
Open loop	–	7.460 8
Fixed	10	5.187 8
CVT	10	2.860 0
LBG	10	2.587 2
COB	10	2.446 5

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

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