Title :
Formation control for multiple nonlinear autonomous agents based on iterative method
Author :
Xi-Xin Yang;Shi-Yuan Han;Dong Wang;Jin Zhou
Author_Institution :
School of Information Science and Engineering, University of Jinan
Abstract :
This paper is concerned with approximate optimal formation control for multiple nonlinear autonomous agents based on iterative method. By designing some concatenation vectors, a whole multi-agent system is obtained, and the original formation control problem is transformed into a classic tracking problem. Based on the classic optimal tracking control theories, the optimal formation control problem is viewed as a two-point boundary value problem. Then, the approximate formation controller is obtained by using the successive approximation approach, which composes of analytic feedback terms and a compensation term. The compensation term can be obtained by calculating an iteration adjoint vectors. By introducing a finite term of the adjoint vector sequence, an approximate formation controller is designed. Simulation results show that the proposed approximate formation controller produces the better value of control performances.
Keywords :
"Approximation methods","Autonomous agents","Mathematical model","Indexes","Multi-agent systems","Control systems","Iterative methods"
Conference_Titel :
Informative and Cybernetics for Computational Social Systems (ICCSS), 2015 International Conference on
DOI :
10.1109/ICCSS.2015.7281148