×

Fault-tolerant control for multi-agent systems: addressing actuator and sensor faults in leaderless/leader-follower architectures. (English) Zbl 07900066

Summary: This paper addresses the issue of actuator and sensor faults causing instability in leaderless/follower multi-agent systems (MASs) and investigates adaptive fault-tolerant control (FTC) algorithms to secure stability. Sensor faults can disrupt conventional observers by interfering with system state measurements. To address this issue, the descriptor approach is introduced to construct an augmented system from the original system, which converts the faults into components of the augmented system state. Next, by utilizing a sliding-mode term to compensate for the lumped uncertainty’s impact, an observer is designed to realize state estimation for the augmented system. Then, based on the estimations, adaptive FTC protocols are investigated for leaderless/leader-follower MASs to retain stability against concurrent faults and uncertainties. To enhance control efficiency, the control gains are updated with the estimations from neighbors and proved to be ultimately upper bounded. Finally, the proposed method is validated through numerical simulations of multiple quadrotors.
© 2024 John Wiley & Sons Ltd.

MSC:

93B35 Sensitivity (robustness)
93C40 Adaptive control/observation systems
93A16 Multi-agent systems
93B12 Variable structure systems
Full Text: DOI

References:

[1] DohmannPB, HircheS. Distributed control for cooperative manipulation with event‐triggered communication. IEEE Trans Robot. 2020;36(4):1038‐1052.
[2] YuZQ, ZhangYM, JiangB, et al. Decentralized fractional‐order backstepping fault‐tolerant control of multi‐UAVs against actuator faults and wind effects. Aerosp Sci Technol. 2020;104:105939.
[3] ChoiJ, DagefuFT. A low‐profile, top‐loaded, multielement, monopole antenna for compact UGV systems. IEEE Trans Antennas Propag. 2022;70(3):2277‐2282.
[4] JPnQ, TaipalmaaJ, Can PullinenB, et al. Collaborative multi‐robot search and rescue: planning, coordination, perception, and active vision. IEEE Access. 2020;8:191617‐191643.
[5] DingD, HanQL, WangZD, GeXH. A survey on model‐based distributed control and filtering for industrial cyber‐physical systems. IEEE Trans Industr Inform. 2019;15(5):2483‐2499.
[6] YuDX, ChenCLP, RenCE, SuiS. Swarm control for self‐organized system with fixed and switching topology. IEEE Trans Cybern. 2020;50(10):4481‐4494.
[7] LiangX, QuXR, WangN, LiY, ZhangRB. Swarm control with collision avoidance for multiple underactuated surface vehicles. Ocean Eng. 2019;191:106516.
[8] SaderM, LiuZX, WangFY, ChenZQ. Distributed robust fault‐tolerant consensus tracking control for multi‐agent systems with exogenous disturbances under switching topologies. Int J Robust Nonlinear Control. 2022;32(3):1618‐1632. · Zbl 1527.93412
[9] WuYK, JiangB, LuNY. A descriptor system approach for estimation of incipient faults with application to high‐speed railway traction devices. IEEE Trans Syst Man Cybern Syst. 2019;49(10):2108‐2118.
[10] BoemF, GalloAJ, RaimondoDM, ParisiniT. Distributed fault‐tolerant control of large‐scale systems: an active fault diagnosis approach. IEEE Trans Control Netw Syst. 2020;7(1):288‐301. · Zbl 1516.93034
[11] KhaliliM, ZhangXD, CaoYC, PolycarpouMM, ParisiniT. Distributed fault‐tolerant control of multiagent systems: an adaptive learning approach. IEEE Trans Neural Netw Learn Syst. 2020;31(2):420‐432.
[12] YuZQ, LiuZX, ZhangYM, QuYH, SuCY. Distributed finite‐time fault‐tolerant containment control for multiple unmanned aerial vehicles. IEEE Trans Neural Netw Learn Syst. 2020;31(6):2077‐2091.
[13] JiangB, ZhangK, ShiP. Integrated fault estimation and accommodation design for discrete‐time Takagi-Sugeno fuzzy systems with actuator faults. IEEE Trans Fuzzy Syst. 2011;19(2):291‐304.
[14] YangD, ZongGD, SuSF.
([H \infty \]\) tracking control of uncertain Markovian hybrid switching systems: a fuzzy switching dynamic adaptive control approach. IEEE Trans Cybern. 2022;52(5):3111‐3122.
[15] ZongGD, YangD, LamJ, SongXQ. Fault‐tolerant control of switched LPV systems: a bumpless transfer approach. IEEE/ASME Trans Mechatron. 2022;27(3):1436‐1446.
[16] JiangB, ShenQK, ShiP. Neural‐networked adaptive tracking control for switched nonlinear pure‐feedback systems under arbitrary switching. Automatica. 2015;61:119‐125. · Zbl 1327.93246
[17] GuoXC, WeiGL, DingDR. Fault‐tolerant consensus control for discrete‐time multi‐agent systems: a distributed adaptive sliding‐mode scheme. IEEE Trans Circuits Syst II Express Briefs. 2023;70(7):2515‐2519.
[18] LiJN, LiuX, RuXF, XuXB. Disturbance rejection adaptive fault‐tolerant constrained consensus for multi‐agent systems with failures. IEEE Trans Circuits Syst II Express Briefs. 2020;67(12):3302‐3306.
[19] LiuC, JiangB, ZhangK, PattonRJ. Distributed fault‐tolerant consensus tracking control of multi‐agent systems under fixed and switching topologies. IEEE Trans Circuits Syst I: Regul Pap. 2021;68(4):1646‐1658.
[20] LiuSK, JiangB, MaoZH, ZhangYM. Distributed event‐triggered quantized fault‐tolerant control of linear multiagent systems with external disturbances and parameter uncertainties. IEEE Trans Cybern. 2024;54(4): 2099‐2112.
[21] YazdaniS, HaeriM. Robust adaptive fault‐tolerant control for leader‐follower flocking of uncertain multi‐agent systems with actuator failure. ISA Trans. 2017;71:227‐234.
[22] XuLX, ZhaoLN, MaHJ, WangYL, KangHB. Event‐triggered cooperative output regulation of heterogeneous multi‐agent systems with adaptive fault‐tolerant control. IEEE Trans Circuits Syst II Express Briefs. 2022;69(3):1149‐1153.
[23] YangTT, DongJX. Predefined‐time adaptive fault‐tolerant control for switched odd‐rational‐power multi‐agent systems. IEEE Trans Autom Sci Eng. 2023;20(4):2423‐2434.
[24] YangP, MaB, DongY, LiuJW. Fault‐tolerant consensus of leader‐following multi‐agent systems based on distributed fault estimation observer. Int J Control Autom Syst. 2018;16(5):2354‐2362.
[25] LiD, WangY, WangJ, WangC, DuanY. Recent advances in sensor fault diagnosis: a review. Sensors Actuat A: Phys. 2020;309:111990.
[26] YuZQ, ZhangYM, JiangB, et al. Fractional‐order adaptive fault‐tolerant synchronization tracking control of networked fixed‐wing UAVs against actuator‐sensor faults via intelligent learning mechanism. IEEE Trans Neural Netw Learn Syst. 2021;32(12):5539‐5553.
[27] HuoSC, WuH, ZhangY. Secure consensus control for multi‐agent systems against attacks on actuators and sensors. Int J Robust Nonlinear Control. 2022;32(8):4861‐4877. · Zbl 1528.93206
[28] ChenHY, ZongGD, GaoFZ, ShiY. Probabilistic event‐triggered policy for extended dissipative finite‐time control of MJSs under cyber‐attacks and actuator failures. IEEE Trans Automat Contr. 2023;68(12):7803‐7810. · Zbl 07811003
[29] DarvishiH, CiuonzoD, EideER, RossiPS. Sensor‐fault detection, isolation and accommodation for digital twins via modular data‐driven architecture. IEEE Sensors J. 2021;21(4):4827‐4838.
[30] GaddamA, WilkinT, AngelovaM, GaddamJ. Detecting sensor faults, anomalies and outliers in the internet of things: a survey on the challenges and solutions. Electronics. 2020;9(3):511.
[31] ShahnazariH, MhaskarP. Distributed fault diagnosis for networked nonlinear uncertain systems. Comput Chem Eng. 2018;115:22‐33.
[32] DuDS. Fault detection for discrete‐time linear systems based on descriptor observer approach. Appl Math Comput. 2017;293:575‐585. · Zbl 1411.93109
[33] ZhangJ, LiS, XiangZR. Adaptive fuzzy finite‐time fault‐tolerant control for switched nonlinear large‐scale systems with actuator and sensor faults. J Franklin Inst. 2020;357(16):11629‐11644. · Zbl 1450.93029
[34] GaoZW, WangH. Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis. Syst Control Lett. 2006;55(4):304‐313. · Zbl 1129.93332
[35] LiuM, ShiP. Sensor fault estimation and tolerant control for Itô stochastic systems with a descriptor sliding mode approach. Automatica. 2013;49(5):1242‐1250. · Zbl 1319.93075
[36] YanB, WuCF, ShiP. Formation consensus for discrete‐time heterogeneous multi‐agent systems with link failures and actuator/sensor faults. J Franklin Inst. 2019;356(12):6547‐6570. · Zbl 1416.93012
[37] LiuC, ShiY, MengYZ, WangYY. Leader‐following consensus of multi‐agent systems with connectivity‐mixed attacks and actuator/sensor faults. J Franklin Inst. 2023;360(5):3592‐3617. · Zbl 1510.93282
[38] LiHF, XieLH, ZhangXF, PanWH. Distributed consensus control of nonlinear multi‐agent systems with sensor uncertainty. Int J Robust Nonlinear Control. 2023;33(2):973‐990. · Zbl 1531.93389
[39] ZhuJW, YangGH, ZhangWA, YuL. Cooperative fault tolerant tracking control for multiagent systems: an intermediate estimator‐based approach. IEEE Trans Cybern. 2018;48(10):2972‐2980.
[40] YipE, SincovecR. Solvability, controllability, and observability of continuous descriptor systems. IEEE Trans Automat Contr. 1981;26(3):702‐707. · Zbl 0482.93013
[41] NiuY, LamJ, WangX, HoDW. Observer‐based sliding mode control for nonlinear state‐delayed systems. Int J Syst Sci. 2004;35(2):139‐150. · Zbl 1059.93025
[42] BouabdallahS, SiegwartR. Backstepping and sliding‐mode techniques applied to an indoor micro quadrotor. IEEE, 2247‐2252. 2005.
[43] CastilloP, DzulA, LozanoR. Real‐time stabilization and tracking of a four‐rotor mini rotorcraft. IEEE Trans Control Syst Technol. 2004;12(4):510‐516.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.