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Adaptive control for a class of high-order nonlinear parameterized systems with multiple unknown control directions by switching linear controllers. (English) Zbl 1533.93357

Summary: In this paper, the adaptive control is investigated by switching linear controllers for a class of nonlinear parameterized systems with multiple unknown control directions. Parametric uncertainties entering the state equations nonlinearly can be fast time-varying or jumping at unknown time instants, the bounds of the parametric uncertainties are not required to know a priori and the multiple control directions are unknown. Our proposed adaptive controller is a switching type controller. First, sufficient conditions for designing an adaptive stabilizer are derived. Then, a switching-type adaptive controller is designed, in which a linear controller with two undetermined design parameters to be tuned is recursively designed by adding a power integrator, and a switching mechanism is proposed to tune these parameters online for compensating the multiple unknown control directions and the unknown bounds of the parametric uncertainties. The undetermined design parameters are based on the upper bound estimation of the unknown parameters existing not only in the nonlinear functions but also in the control directions functions. The proposed adaptive controller globally asymptotically stabilizes the system in the sense that, for any initial conditions, the state converges to the origin while all the signals of the closed-loop system are bounded. Finally, an example is given to illustrate the effectiveness of the proposed method.
© 2023 John Wiley & Sons Ltd.

MSC:

93C40 Adaptive control/observation systems
93C10 Nonlinear systems in control theory
93D20 Asymptotic stability in control theory
93D21 Adaptive or robust stabilization
Full Text: DOI

References:

[1] LinW, QianC. Adding one power integrator: a tool for global stabilization of high‐order lower‐triangular systems. Syst Control Lett. 2000;39(5):339‐351. · Zbl 0948.93056
[2] DacicDB, KokotovicPV. A scaled feedback stabilization of power integrator triangular systems. Syst Control Lett. 2005;54(7):645‐653. · Zbl 1129.93496
[3] KrsticM, KanellakopoulosI, KokotovicP. Nonlinear and Adaptive Control Design. Wiley‐Interscience; 1995.
[4] YangB, LinW. Semi‐global stabilization of nonlinear systems by nonsmooth output feedback. Int J Robust Nonlinear Control. 2014;24:2522‐2545. · Zbl 1302.93179
[5] 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(4):360‐373. · Zbl 1318.93081
[6] WuJ, ChenX, ZhaoQ, LiJ, WuZ‐G. Adaptive neural dynamic surface control with prespecified tracking accuracy of uncertain stochastic nonstrict‐feedback systems. IEEE Trans Cybern. 2022;52(5):3408‐3421.
[7] WuJ, HeF, ShenH, DingS, WuZ‐G. Adaptive nn fixed‐time fault‐tolerant control for uncertain stochastic system with deferred output constraint via self‐triggered mechanism. IEEE Trans Cybern. 2022;53(9):5892‐5903.
[8] LinW, QianC. Adaptive control of nonlinearly parameterized systems: the smooth feedback case. IEEE Trans Automat Contr. 2002;47(8):1249‐1266. · Zbl 1364.93399
[9] LinW, QianC. Adaptive control of nonlinearly parameterized systems: a nonsmooth feedback framework. IEEE Trans Automat Contr. 2002;47(5):757‐774. · Zbl 1364.93400
[10] SunZ, LiuY. Adaptive stabilisation for a large class of high‐order uncertain non‐linear systems. Int J Control. 2009;82:1275‐1287. · Zbl 1168.93397
[11] MaR, LiuY, ZhaoS, WangM, ZongG. Nonlinear adaptive control for power integrator triangular systems by switching linear controllers. Int J Robust Nonlinear Control. 2014;25:7.
[12] YuZ, ZhaoF, DingS, ChenX. Adaptive pre‐assigned finite‐time control of uncertain nonlinear systems with unknown control gains. Appl Math Comput. 2022;417:126784. · Zbl 1510.93169
[13] MengB, LiuW, QiX. Disturbance and state observer‐based adaptive finite‐time control for quantized nonlinear systems with unknown control directions. J Franklin Inst. 2022;359(7):2906‐2931. · Zbl 1489.93109
[14] NussbaumRD. Some remarks on a conjecture in parameter adaptive control. Syst Control Lett. 1983;3(5):243‐2446. · Zbl 0524.93037
[15] ChenZ. Nussbaum functions in adaptive control with time‐varying unknown control coefficients. Automatica. 2019;102:72‐79. · Zbl 1415.93140
[16] LvM, ChenZ, De SchutterB, BaldiS. Prescribed‐performance tracking for high‐power nonlinear dynamics with time‐varying unknown control coefficients. Automatica. 2022;146:110584. · Zbl 1504.93203
[17] WangP, YuC, SunJ. Global output feedback control for nonlinear cascade systems with unknown output functions and unknown control directions. Int J Robust Nonlinear Control. 2020;30(6):2493‐2514. · Zbl 1465.93074
[18] WuJ, SunW, SuS‐F, WuY. Adaptive quantized control for uncertain nonlinear systems with unknown control directions. Int J Robust Nonlinear Control. 2021;31(17):8658‐8671. · Zbl 1527.93229
[19] Sam GeS, YangC, Heng LeeT. Adaptive robust control of a class of nonlinear strict‐feedback discrete‐time systems with unknown control directions. Syst Control Lett. 2008;57(11):888‐895. · Zbl 1149.93319
[20] YeX. Decentralized adaptive stabilization of large‐scale nonlinear time‐delay systems with unknown high‐frequency‐gain signs. IEEE Trans Automat Contr. 2011;56(6):1473‐1478. · Zbl 1368.93633
[21] LiuY‐J, TongS. Adaptive fuzzy control for a class of unknown nonlinear dynamical systems. Fuzzy Set Syst. 2015;263:49‐70. · Zbl 1361.93024
[22] DingZ. Global adaptive output feedback stabilization of nonlinear systems of any relative degree with unknown high‐frequency gains. IEEE Trans Automat Contr. 1998;43(10):1442‐1446. · Zbl 0962.93079
[23] DingZ, YeX. A flat‐zone modification for robust adaptive control of nonlinear output feedback systems with unknown high‐frequency gains. IEEE Trans Automat Contr. 2002;47(2):358‐363. · Zbl 1364.93699
[24] YeX, DingZ. Robust tracking control of uncertain nonlinear systems with unknown control directions. Syst Control Lett. 2001;42:1‐10. · Zbl 0985.93022
[25] LiangM, LiJ. Iterative learning consensus for nonstrict feedback multiagent systems with unknown control direction and saturation input. IEEE Syst J. 2023;17(3):4234‐4244.
[26] GuoZ, OliveiraTR, GuoJ, WangZ. Performance‐guaranteed adaptive asymptotic tracking for nonlinear systems with unknown sign‐switching control direction. IEEE Trans Automat Contr. 2023;68(2):1077‐1084. · Zbl 1541.93184
[27] WangY, SongY, ChenX. Prescribed‐time tracking with guaranteed performance for a class of self‐switching systems under unknown control directions. IEEE Trans Cybern. 2023;53(9):5918‐5927.
[28] LvM, De SchutterB, ShiC, BaldiS. Logic‐based distributed switching control for agents in power‐chained form with multiple unknown control directions. Automatica. 2022;137:110143. · Zbl 1482.93289
[29] HespanhaJP, LiberzonD, MorseAS. Overcoming the limitations of adaptive control by means of logic‐based switching. Syst Control Lett. 2003;49(1):49‐65. · Zbl 1157.93440
[30] YeX. Nonlinear adaptive control using multiple identification models. Syst Control Lett. 2008;57(7):578‐584. · Zbl 1140.93403
[31] KalkkuhlJ, JohansenTA, LudemannJ. Improved transient performance of nonlinear adaptive backstepping using estimator resetting based on multiple models. IEEE Trans Automat Contr. 2002;47(1):136‐140. · Zbl 1364.93397
[32] WangX, ZhaoJ. Logic‐based reset adaptation design for improving transient performance of nonlinear systems. IEEE/CAA J Automat Sin. 2015;2:440‐448.
[33] ManY, LiuY. A switching adaptive scheme for global output‐feedback stabilization of inherent nonlinear systems with unknown control direction. Int J Robust Nonlinear Control. 2022;32(9):5436‐5452. · Zbl 1528.93178
[34] GuoT, LiuY, ManY. Adaptive controller of nonlinear systems with unknown control directions and unknown input powers. Int J Robust Nonlinear Control. 2020;30(17):7670‐7689. · Zbl 1525.93337
[35] HuangC, YuC. Tuning function design for nonlinear adaptive control systems with multiple unknown control directions. Automatica. 2018;89:259‐265. · Zbl 1388.93053
[36] YeX. Global adaptive control of nonlinearly parametrized systems. IEEE Trans Automat Contr. 2003;48(1):169‐173. · Zbl 1364.93724
[37] FuJ, MaR, ChaiT. Adaptive finite‐time stabilization of a class of uncertain nonlinear systems via logic‐based switchings. IEEE Trans Automat Contr. 2017;62(11):5998‐6003. · Zbl 1390.93682
[38] WuJ, ChenW, LiJ. Global finite‐time adaptive stabilization for nonlinear systems with multiple unknown control directions. Automatica. 2016;69:298‐307. · Zbl 1338.93330
[39] ManY, LiuY. Global adaptive stabilisation for nonlinear systems with unknown control directions and input disturbance. Int J Control. 2016;89(5):1038‐1046. · Zbl 1338.93323
[40] WuJ, LiJ, ZongG, ChenW. Global finite‐time adaptive stabilization of nonlinearly parametrized systems with multiple unknown control directions. IEEE Trans Syst Man Cybern: Syst. 2017;47(7):1405‐1414.
[41] MaJ, ParkJH, XuS. Global adaptive finite‐time control for uncertain nonlinear systems with actuator faults and unknown control directions. Nonlinear Dyn. 2019;97(4):2533‐2545. · Zbl 1430.93187
[42] YeX. Nonlinear adaptive control by switching linear controllers. Syst Control Lett. 2012;61(4):617‐621. · Zbl 1250.93110
[43] MaR, HuY, FuJ. Adaptive stabilization for a class of nonlinearly parameterized systems with multiple unknown control directions via switching linear controllers. Nonlinear Anal Hybrid Syst. · Zbl 1541.93284
[44] YangB, LinW. “What can linear state feedback accomplish for nonlinear systems?” Proceedings of the 47th IEEE Conference on Decision and Control. 2008 1593-1598.
[45] Sing KiongN. Robust stabilization of a class of time‐delay nonlinear systems. IEEE Trans Automat Contr. 2000;45(4):756‐762. · Zbl 0978.93067
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