×

Adaptive predefined-time quantized tracking control for switched nonlinear systems using command-filter backstepping. (English) Zbl 07900088

Summary: This article investigates the command-filter-based improved predefined-time tracking control problem for a class of switched nonlinear systems with the quantized input signal. Essentially different from most tracking control works of switched nonlinear systems under input quantization, the nonlinear decomposition method is employed to tackle the obstacles from the predefined-time controller design. Subsequently, to achieve more faster convergence times, an improved predefined-time lemma is designed, and for subsequent simulation work, the designed lemma is coupled with a quantizer. Furthermore, to tackle the problem of complexity explosion encountered during the iterative process of backstepping, the command filter is adopted. Finally, two examples are employed to demonstrate the effectiveness of the established results.
© 2024 John Wiley & Sons Ltd.

MSC:

93C40 Adaptive control/observation systems
93C30 Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems)
93C10 Nonlinear systems in control theory
93E11 Filtering in stochastic control theory
Full Text: DOI

References:

[1] LeiS, FengL, RongshengX, JingW, HaoS. Research progress on control synthesis of complex jump systems. J Anhui Univ Technol. 2022;39(3):237‐249.
[2] XiangZ, LiP, ChadliM, ZouW. Fuzzy optimal control for a class of discrete‐time switched nonlinear systems. IEEE Trans Fuzzy Syst. 2024;32:2297‐2306. doi:10.1109/TFUZZ.2023.3348535
[3] WangJ, WuJ, ShenH, CaoJ, RutkowskiL. Fuzzy
[( {H}_{\infty } \]\) control of discrete‐time nonlinear Markov jump systems via a novel hybrid reinforcement Q‐learning method. IEEE Trans Cybern. 2023;53(11):7380‐7391.
[4] WangJ, WangD, YanH, ShenH. Composite anti‐disturbance
[( {\mathcal{H}}_{\infty } \]\) control for hidden Markov jump systems with multi‐sensor against replay attacks. IEEE Trans Automat Contr. 2023;69:1760‐1766. doi:10.1109/TAC.2023.3326861 · Zbl 07884335
[5] LeeTC, JiangZP. Uniform asymptotic stability of nonlinear switched systems with an application to mobile robots. IEEE Trans Automat Contr. 2008;53(5):1235‐1252. · Zbl 1367.93399
[6] NiuB, ZhaoX, FanX, ChengY. A new control method for state‐constrained nonlinear switched systems with application to chemical process. Int J Control. 2015;88(9):1693‐1701. · Zbl 1337.93040
[7] LaiG, LiuZ, ZhangY, ChenCP, XieS. Adaptive backstepping‐based tracking control of a class of uncertain switched nonlinear systems. Automatica. 2018;91:301‐310. · Zbl 1387.93098
[8] LiY, TongS. Adaptive fuzzy output constrained control design for multi‐input multioutput stochastic nonstrict‐feedback nonlinear systems. IEEE Trans Cybern. 2017;47(12):4086‐4095.
[9] LyuZ, LiuZ, ZhangY, ChenCP. Adaptive neural control for switched nonlinear systems with unstable dynamic uncertainties: a small gain‐based approach. IEEE Trans Cybern. 2022;52(7):5654‐5667.
[10] WangY, XuN, LiuY, ZhaoX. Adaptive fault‐tolerant control for switched nonlinear systems based on command filter technique. Appl Math Comput. 2021;392:125725. · Zbl 1508.93180
[11] XiaJ, WangX, ParkJH, XieX, ChenG. Novel adaptive event‐triggered fuzzy command filter control for slowly switched nonlinear systems with constraints. IEEE Trans Cybern. 2023;53:5755‐5766. doi:10.1109/TCYB.2022.3172503
[12] LongL, WangF, ChenZ. Robust adaptive dynamic event‐triggered control of switched nonlinear systems. IEEE Trans Automat Contr. 2023;68(8):4873‐4887. · Zbl 07746635
[13] TongS, SuiS, LiY. Fuzzy adaptive output feedback control of MIMO nonlinear systems with partial tracking errors constrained. IEEE Trans Fuzzy Syst. 2015;23(4):729‐742.
[14] YuJ, ShiP, DongW, YuH. Observer and command‐filter‐based adaptive fuzzy output feedback control of uncertain nonlinear systems. IEEE Trans Ind Electron. 2015;62(9):5962‐5970.
[15] FarrellJA, PolycarpouM, SharmaM, DongW. Command filtered backstepping. IEEE Trans Automat Contr. 2009;54(6):1391‐1395. · Zbl 1367.93382
[16] ZhaoL, YuJ, LinC, MaY. Adaptive neural consensus tracking for nonlinear multiagent systems using finite‐time command filtered backstepping. IEEE Trans Syst Man Cybern Syst. 2018;48(11):2003‐2012.
[17] LiuZ, ChenB, LinC. Adaptive neural backstepping for a class of switched nonlinear system without strict‐feedback form. IEEE Trans Syst Man Cybern Syst. 2017;47(7):1315‐1320.
[18] MaoJ, ZouW, HeW, XiangZ. Finite‐time sampled‐data output feedback stabilization for a class of feed‐forward non‐holonomic systems. Int J Robust Nonlinear Control. 2023;33:5892‐5914. · Zbl 1534.93400
[19] CuiD, WuY, XiangZ. Finite‐time adaptive fault‐tolerant tracking control for nonlinear switched systems with dynamic uncertainties. Int J Robust Nonlinear Control. 2021;31(8):2976‐2992. · Zbl 1526.93224
[20] LiY, QuF, TongS. Observer‐based fuzzy adaptive finite‐time containment control of nonlinear multiagent systems with input delay. IEEE Trans Cybern. 2021;51(1):126‐137.
[21] JiangK, ZhangX. Event‐triggered finite‐time adaptive trajectory tracking control for a class of nonlinear non‐strict‐feedback systems with input saturation and application to a single‐link robot. Nonlinear Dyn. 2023;111(2):1329‐1342.
[22] FuJ, MaR, ChaiT. Global finite‐time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers. Automatica. 2015;54:360‐373. · Zbl 1318.93081
[23] PolyakovA. Nonlinear feedback design for fixed‐time stabilization of linear control systems. IEEE Trans Automat Contr. 2012;57(8):2106‐2110. · Zbl 1369.93128
[24] SunY, ZhangL. Fixed‐time adaptive fuzzy control for uncertain strict feedback switched systems. Inform Sci. 2021;546:742‐752. · Zbl 1478.93606
[25] YangT, LiY. Fixed‐time fault tolerant control for a class of switched nonlinear systems. Int J Adapt Control Signal Process. 2020;34(12):1768‐1778. · Zbl 07839174
[26] MeiY, WangJ, ParkJH, ShiK, ShenH. Adaptive fixed‐time control for nonlinear systems against time‐varying actuator faults. Nonlinear Dyn. 2022;107(4):3629‐3640.
[27] MeiY, LiF, XiaR, ParkJH, ShenH. Fixed‐time adaptive neural tracking control for nonstrict‐feedback nonlinear systems with mismatched disturbances using an event‐triggered scheme. Nonlinear Dyn. 2023;111(6):5383‐5400.
[28] WangH, TongM, ZhaoX, NiuB, YangM. Predefined‐time adaptive neural tracking control of switched nonlinear systems. IEEE Trans Cybern. 2023;53:6538‐6548. doi:10.1109/TCYB.2022.3204275
[29] GongY, GuoY, LiD, MaG, RanG. Predefined‐time tracking control for high‐order nonlinear systems with control saturation. Int J Robust Nonlinear Control. 2022;32(11):6218‐6235. · Zbl 1527.93385
[30] ZhangY, ChadliM, XiangZ. Predefined‐time adaptive fuzzy control for a class of nonlinear systems with output hysteresis. IEEE Trans Fuzzy Syst. 2023;31(8):2522‐2531.
[31] XingL, WenC, LiuZ, LaiG, SuH. Robust adaptive output feedback control for uncertain nonlinear systems with quantized input. Int J Robust Nonlinear Control. 2017;27(11):1999‐2016. · Zbl 1367.93324
[32] LiuW, MaQ, XuS, ZhangZ. Adaptive finite‐time event‐triggered control for nonlinear systems with quantized input signals. Int J Robust Nonlinear Control. 2021;31(10):4764‐4781. · Zbl 1525.93174
[33] SongS, ParkJH, ZhangB, SongX. Composite adaptive fuzzy finite‐time quantized control for full state‐constrained nonlinear systems and its application. IEEE Trans Syst Man Cybern Syst. 2022;52(4):2479‐2490.
[34] HuaC, NingP, LiK, GuanX. Fixed‐time prescribed tracking control for stochastic nonlinear systems with unknown measurement sensitivity. IEEE Trans Cybern. 2022;52(5):3722‐3732.
[35] ZhouJ, WenC, YangG. Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal. IEEE Trans Automat Contr. 2014;59(2):460‐464. · Zbl 1360.93626
[36] YangT, KangH, MaH. Event‐triggered finite‐time control for a class of switched nonlinear systems. Int J Robust Nonlinear Control. 2022;32(4):2344‐2358. · Zbl 07769358
[37] BaliA, SinghUP, KumarR, JainS. Hybrid neural network control of uncertain switched nonlinear systems with bounded disturbance. Int J Robust Nonlinear Control. 2023;33(4):2651‐2681. · Zbl 1532.93151
[38] MoustakisN, YuanS, BaldiS. An adaptive approach to zooming‐based control for uncertain systems with input quantization. 2018 17th European Control Conference (ECC). IEEE; 2018:2423‐2428.
[39] MoustakisN, YuanS, BaldiS. An adaptive design for quantized feedback control of uncertain switched linear systems. Int J Robust Nonlinear Control. 2018;32(5):665‐680. · Zbl 1396.93072
[40] LevantA. Higher‐order sliding modes, differentiation and output‐feedback control. Int J Control. 2003;76(9‐10):924‐941. · Zbl 1049.93014
[41] WangQ, CaoJ, LiuH. Adaptive fuzzy control of nonlinear systems with predefined time and accuracy. IEEE Trans Fuzzy Syst. 2022;30(12):5152‐5165.
[42] JeongWS, KimSH, YiJ, WonCY. Finite control set‐model predictive control of H8 inverter considering dead‐time effect for PMSM drive systems with reduced conducted common‐mode EMI and current distortions. IEEE Trans Power Electron. 2022;37(5):5342‐5356.
[43] XiaC, LiuN, ZhouZ, YanY, ShiT. Steady‐state performance improvement for LQR‐based PMSM drives. IEEE Trans Power Electron. 2018;33(12):10622‐10632.
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.