CLC number: TP24
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-03-06
Cited: 0
Clicked: 2800
Citations: Bibtex RefMan EndNote GB/T7714
Weibin CHEN, Yangyang CHEN, Ya ZHANG. Finite-time coordinated path-following control of leader-following multi-agent systems[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(10): 1511-1521.
@article{title="Finite-time coordinated path-following control of leader-following multi-agent systems",
author="Weibin CHEN, Yangyang CHEN, Ya ZHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="10",
pages="1511-1521",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100476"
}
%0 Journal Article
%T Finite-time coordinated path-following control of leader-following multi-agent systems
%A Weibin CHEN
%A Yangyang CHEN
%A Ya ZHANG
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 10
%P 1511-1521
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100476
TY - JOUR
T1 - Finite-time coordinated path-following control of leader-following multi-agent systems
A1 - Weibin CHEN
A1 - Yangyang CHEN
A1 - Ya ZHANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 10
SP - 1511
EP - 1521
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100476
Abstract: This paper presents applications of the continuous feedback method to achieve path-following and a formation moving along the desired orbits within a finite time. It is assumed that the topology for the virtual leader and followers is directed. An additional condition of the so-called barrier function is designed to make all agents move within a limited area. A novel continuous finite-time path-following control law is first designed based on the barrier function and backstepping. Then a novel continuous finite-time formation algorithm is designed by regarding the path-following errors as disturbances. The settling-time properties of the resulting system are studied in detail and simulations are presented to validate the proposed strategies.
[1]Bertozzi AL, Kemp M, Marthaler D, 2005. Determining environmental boundaries: asynchronous communication and physical scales. In: Kumar V, Leonard N, Morse AS (Eds.), Cooperative Control. Springer, Berlin, p.25-42.
[2]Bhat SP, Bernstein DS, 2000. Finite-time stability of continuous autonomous systems. SIAM J Contr Optim, 38(3):751-766.
[3]Cao YC, Ren W, 2012. Distributed coordinated tracking with reduced interaction via a variable structure approach. IEEE Trans Autom Contr, 57(1):33-48.
[4]Cao YC, Ren W, Li Y, 2009. Distributed discrete-time coordinated tracking with a time-varying reference state and limited communication. Automatica, 45(5):1299-1305.
[5]Cao YC, Ren W, Meng ZY, 2010. Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking. Syst Contr Lett, 59(9):522-529.
[6]Chen YY, Tian YP, 2015. Formation tracking and attitude synchronization control of underactuated ships along closed orbits. Int J Robust Nonl Contr, 25(16):3023-3044.
[7]Chen YY, Chen KW, Astolfi A, 2021a. Adaptive formation tracking control of directed networked vehicles in a time-varying flowfield. J Guid Contr Dyn, 44(10):1883-1891.
[8]Chen YY, Chen KW, Astolfi A, 2021b. Adaptive formation tracking control for first-order agents in a time-varying flowfield. IEEE Trans Autom Contr, 67(5):2481-2488.
[9]Dou LQ, Yang C, Wang DD, et al., 2019. Distributed finite-time formation control for multiple quadrotors via local communications. Int J Robust Nonl Contr, 29(16):5588-5608.
[10]Du HB, Li SH, Lin XZ, 2013. Finite-time formation control of multiagent systems via dynamic output feedback. Int J Robust Nonl Contr, 23(14):1609-1628.
[11]Du HB, Wen GH, Cheng YY, et al., 2017. Distributed finite-time cooperative control of multiple high-order nonholonomic mobile robots. IEEE Trans Neur Netw Learn Syst, 28(12):2998-3006.
[12]Fiorelli E, Leonard NE, Bhatta P, et al., 2006. Multi-AUV control and adaptive sampling in Monterey bay. IEEE J Oceanic Eng, 31(4):935-948.
[13]Ghabcheloo R, 2007. Coordinated Path Following of Multiple Autonomous Vehicles. PhD Dissertation, Universidade de Lisbon, Lisboa, Portugal.
[14]Guan ZH, Sun FL, Wang YW, et al., 2012. Finite-time consensus for leader-following second-order multi-agent networks. IEEE Trans Circ Syst I Regul Pap, 59(11):2646-2654.
[15]Huang JS, Wen CY, Wang W, et al., 2015. Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems. Automatica, 51:292-301.
[16]Khoo S, Xie LH, Man ZH, 2009. Robust finite-time consensus tracking algorithm for multirobot systems. IEEE/ASME Trans Mechatron, 14(2):219-228.
[17]Li SH, Du HB, Lin XZ, 2011. Finite-time consensus algorithm for multi-agent systems with double-integrator dynamics. Automatica, 47(8):1706-1712.
[18]Li TS, Zhao R, Chen CLP, et al., 2018. Finite-time formation control of under-actuated ships using nonlinear sliding mode control. IEEE Trans Cybern, 48(11):3243-3253.
[19]Peng ZH, Wang D, Chen ZY, et al., 2013. Adaptive dynamic surface control for formations of autonomous surface vehicles with uncertain dynamics. IEEE Trans Contr Syst Technol, 21(2):513-520.
[20]Qian CJ, Lin W, 2001. A continuous feedback approach to global strong stabilization of nonlinear systems. IEEE Trans Autom Contr, 46(7):1061-1079.
[21]Wang L, Xiao F, 2010. Finite-time consensus problems for networks of dynamic agents. IEEE Trans Autom Contr, 55(4):950-955.
[22]Wang N, Li H, 2020. Leader-follower formation control of surface vehicles: a fixed-time control approach. ISA Trans, 124(5):356-364.
[23]Xiao F, Wang L, Chen J, et al., 2009. Finite-time formation control for multi-agent systems. Automatica, 45(11):2605-2611.
[24]Yu JL, Dong XW, Li QD, et al., 2018. Practical time-varying formation tracking for second-order nonlinear multiagent systems with multiple leaders using adaptive neural networks. IEEE Trans Neur Netw Learn Syst, 29(12):6015-6025.
[25]Zhang FM, Leonard NE, 2007. Coordinated patterns of unit speed particles on a closed curve. Syst Contr Lett, 56(6):397-407.
[26]Zhang FX, Chen YY, 2022. Finite-time tracking control for nonaffine nonlinear pure-feedback systems with a prescribed performance. Int J Robust Nonl Contr, 32(4):2212-2232.
[27]Zhang Y, Tian YP, 2009. Consentability and protocol design of multi-agent systems with stochastic switching topology. Automatica, 45(5):1195-1201.
Open peer comments: Debate/Discuss/Question/Opinion
<1>