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Yang, Cun; Wu, Zhaojing

Adaptive robust maneuvering control for nonlinear systems via dynamic surface technique. (English) Zbl 1517.93081

Nonlinear Dyn. 111, No. 9, 8369-8381 (2023).

MSC:

93D21 Adaptive or robust stabilization
93C10 Nonlinear systems in control theory
93C40 Adaptive control/observation systems
93B35 Sensitivity (robustness)

Keywords:

semi-global practical stable; maneuvering; dynamic surface control; mobile robot
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Full Text: DOI

References:

[1] Young, KD; Ozguner, U., Variable Structure Systems, Sliding Mode and Nonlinear Control (1999), Berlin: Springer, Berlin · Zbl 0922.00035 · doi:10.1007/BFb0109967
[2] Ortega, R.; Loría, A.; Nicklasson, PJ; Sira-Ramirez, H., Passivity-Based Control of Euler-Lagrange Systems: Mechanical, Electrical and Electromechanical Applications (1998), Berlin: Springer, Berlin · doi:10.1007/978-1-4471-3603-3
[3] Krstić, M.; Kokotović, PV; Kanellakopoulos, I., Nonlinear and Adaptive Control Design (1995), New York: Wiley, New York
[4] Ioannou, PA; Sun, J., Robust Adaptive Control (1996), Englewood Cliffs: Prentice-Hall, Englewood Cliffs · Zbl 0839.93002
[5] Kwan, C.; Lewis, FL, Robust backstepping control of nonlinear systems using neural networks, IEEE Trans. Syst. Man Cybern. Part A Syst. Hum., 30, 6, 753-766 (2000) · doi:10.1109/3468.895898
[6] Mizumoto, I. Michino, R. Tao, Y. C. and Iwai, Z.: Robust adaptive tracking control for time-varying nonlinear systems with higher order relative degree. In: Proceedings of IEEE International Conference on Decision and Control. 4, 4303-4308 (2003)
[7] Madani, T. and Benallegue, A.: Control of a quadrotor mini-helicopter via full state backstepping technique. In: Proceedings of IEEE conference on decision and control. 1515-1520 (2006)
[8] Stotsky, A. Hedrick, J. K. and Yip, P. P.: The use of sliding modes to simplify the backstepping control method. In: Proceedings of American control conference. 1703-1708 (1997) · Zbl 0905.93010
[9] Levant, A., Higher-order sliding modes, differentiation and output-feedback control, Int. J. Control, 76, 9-10, 924-941 (2003) · Zbl 1049.93014 · doi:10.1080/0020717031000099029
[10] Yip, P. P. Hedrick, J. K., Swaroop, D.: The use of linear filtering to simplify integrator backstepping control of nonlinear systems. In: Proceedings of IEEE international workshop on variable structure systems. 211-215 (1996)
[11] Shin, DH; Kim, Y., Reconfigurable flight control system design using adaptive neural networks, IEEE Trans. Control Syst. Technol., 12, 1, 87-100 (2004) · doi:10.1109/TCST.2003.821957
[12] Koo, TJ, Stable model reference adaptive fuzzy control of a class of nonlinear systems, IEEE Trans. Fuzzy Syst., 9, 4, 624-636 (2001) · doi:10.1109/91.940973
[13] Swaroop, D.; Hedrick, JK; Yip, PP; Gerdes, JC, Dynamic surface control for a class of nonlinear systems, IEEE Trans. Autom. Control, 45, 10, 1893-1899 (2000) · Zbl 0991.93041 · doi:10.1109/TAC.2000.880994
[14] Du, JL; Hu, X.; Krstić, XM; Sun, YQ, Robust dynamic positioning of ships with disturbances under input saturation, Automatica, 73, 207-214 (2016) · Zbl 1371.93061 · doi:10.1016/j.automatica.2016.06.020
[15] Wu, Z. H. Lu, J. C. and Shi, J. P.: Adaptive neural dynamic surface control of morphing aircraft with input constraints. In: Proceedings of Chinese control and decision conference. 6-12 (2017)
[16] Liu, C.; Chen, CLP; Zou, ZJ; Li, TS, Adaptive NN-DSC control design for path following of underactuated surface vessels with input saturation, Neurocomputing, 267, 6, 466-474 (2017) · doi:10.1016/j.neucom.2017.06.042
[17] Farrell, JA; Polycarpou, MM; Sharma, M.; Dong, WJ, Command filtered backstepping, IEEE Trans. Autom. Control, 54, 6, 1391-1395 (2009) · Zbl 1367.93382 · doi:10.1109/TAC.2009.2015562
[18] Dong, WJ; Farrell, JA; Polycarpou, MM; Djapic, V.; Sharma, M., Command filtered adaptive backstepping, IEEE Trans. Control Syst. Technol., 20, 3, 566-580 (2012) · doi:10.1109/TCST.2011.2121907
[19] Chen, M.; Yu, J., Adaptive dynamic surface control of NSVs with input saturation using a disturbance observer, Chin. J. Aeronaut., 28, 3, 853-864 (2015) · doi:10.1016/j.cja.2015.04.020
[20] Rashad, R.; Aboudonia, A.; El-Badawy, A., A novel disturbance observer-based backstepping controller with command filtered compensation for a MIMO system, J. Franklin Inst., 353, 16, 4039-4061 (2016) · Zbl 1347.93065 · doi:10.1016/j.jfranklin.2016.07.017
[21] Aboudonia, A.; El-Badawy, A.; Rashad, R., Active anti-disturbance control of a quadrotor unmanned aerial vehicle using the command-filtering backstepping approach, Nonlinear Dyn., 90, 1, 581-597 (2017) · Zbl 1390.93557 · doi:10.1007/s11071-017-3683-y
[22] Hou, ZG; Zou, AM; Cheng, L.; Tan, M., Adaptive control of an electrically driven nonholonomic mobile robot via backstepping and fuzzy approach, IEEE Trans. Control Syst. Technol., 17, 4, 803-815 (2009) · doi:10.1109/TCST.2009.2012516
[23] Lee, H.; Tomizuka, M., Robust adaptive control using a universal approximator for SISO nonlinear systems, IEEE Trans. Fuzzy Syst., 8, 1, 95-106 (2000) · doi:10.1109/91.824777
[24] Xu, B.; Shi, ZK; Yang, CG; Sun, FC, Composite neural dynamic surface control of a class of uncertain nonlinear systems in strict-feedback form, IEEE Trans. Cybern., 44, 12, 2626-2634 (2014) · doi:10.1109/TCYB.2014.2311824
[25] Yu, ZX; Li, SG, Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions, Neurocomputing, 129, 10, 540-547 (2014) · doi:10.1016/j.neucom.2013.09.005
[26] Peng, ZH; Wang, D.; Wang, J., Predictor-based neural dynamic surface control for uncertain nonlinear systems in strict-feedback form, IEEE Trans. Neural Netw. Learn. Syst., 28, 9, 2156-2167 (2016) · doi:10.1109/TNNLS.2016.2577342
[27] Homayoun, B.; Arefi, MM; Vafamand, N., Robust adaptive backstepping tracking control of stochastic nonlinear systems with unknown input saturation: a command filter approach, Int. J. Robust Nonlinear Control, 30, 8, 3296-3313 (2020) · Zbl 1466.93035 · doi:10.1002/rnc.4933
[28] Skjetne, R.; Fossen, TI; Kokotović, PV, Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory, Automatica, 41, 2, 289-298 (2005) · Zbl 1096.93026 · doi:10.1016/j.automatica.2004.10.006
[29] Skjetne, R.; Fossen, TI; Kokotović, PV, Robust output maneuvering for a class of nonlinear systems, Automatica, 40, 3, 373-383 (2004) · Zbl 1042.93024 · doi:10.1016/j.automatica.2003.10.010
[30] Ma, J. Ren, J. S. Bai, W. W. and Li, H. Y.: Backstepping sliding mode maneuvering control for a class of surface ships. In: Proceedings of IEEE data driven control and learning systems conference. 935-940 (2020)
[31] Skjetne, R. Ihle, I. A. F. and Fossen, T. I.: Formation control by synchronizing multiple maneuvering systems. In: IFAC Proceedings Volumes. 280-285 (2003)
[32] Khalil, HK, Nonlinear Systems (2002), Prentice Hall: Englewood Cliffs, Prentice Hall · Zbl 1003.34002
[33] Khalil, H.; Esfandiari, F., Semiglobal stabilization of a class of nonlinear systems using output feedback, IEEE Trans. Autom. Control, 38, 9, 1412-1415 (1993) · Zbl 0787.93079 · doi:10.1109/9.237658
[34] Xie, XJ; Li, ZJ; Zhang, KM, Semi-global output feedback control for nonlinear systems with uncertain time-delay and output function, Int. J. Robust Nonlinear Control, 27, 15, 2549-2566 (2016) · Zbl 1373.93263 · doi:10.1002/rnc.3696
[35] Ge, SS; Hang, CC; Lee, TH; Zhang, T., Stable Adaptive Neural Network Control (2002), Boston: Kluwer, Boston · Zbl 1001.93002 · doi:10.1007/978-1-4757-6577-9
[36] Ge, SS; Wang, C., Adaptive neural control of uncertain MIMO nonlinear systems, IEEE Trans. Neural Netw., 15, 3, 674-692 (2004) · doi:10.1109/TNN.2004.826130
[37] Benabdallah, A.; Ellouze, I.; Hammami, M., Practical stability of nonlinear time-varying cascade systems, J. Dynam. Control Syst., 15, 1, 45-62 (2009) · Zbl 1203.93160 · doi:10.1007/s10883-008-9057-5
[38] Viet, TD; Doan, PT; Hung, N.; Kim, HK; Kim, SB, Tracking control of a three-wheeled omnidirectional mobile manipulator system with disturbance and friction, J. Mech. Sci. Technol., 26, 7, 2197-2211 (2012) · doi:10.1007/s12206-012-0541-1
[39] Ren, C.; Yi, S.; Ma, S., Passivity-based control of an omnidirectional mobile robot, Robot. Biomim., 3, 1, 1-9 (2016) · doi:10.1186/s40638-016-0037-z
[40] Tsai, C. C. Kuo, C. Z. Chan, C. C. and Wang, X. C.: Global path planning and navigation of an omnidirectional mecanum mobile robot. In: Proceedings of 2013 CACS international automatic control conference. 85-90 (2013)
[41] Khasminskii, R.: Stochastic Stability of Differential Equations. Springer, Berlin (2011) · Zbl 0855.93090
[42] Hu, QX; Zhang, DF; Wu, ZJ, Trajectory planning and tracking control for 6-DOF Stanford manipulator based on adaptive sliding mode multi-stage switching control, Int. J. Robust Nonlinear Control, 31, 14, 6602-6625 (2021) · Zbl 1527.93206 · doi:10.1002/rnc.5628
[43] Huang, H.C., Tsai, C.C., Lin, S.C.: Adaptive polar-space motion control for embedded omnidirectional mobile robots with parameter variations and uncertainties. J. Intell. Rob. Syst. 62(1), 81-102 (2011)
[44] Lin, LC; Shih, HY, Modeling and adaptive control of an omni-mecanum-wheeled robot, Intell. Control. Autom., 2013, 2, 166-179 (2013) · doi:10.4236/ica.2013.42021
[45] Campion, G.; Bastin, G.; D’Andrea-Novel, B., Structural properties and classification of kinematic and dynamic models of wheeled mobile robots, IEEE Trans. Robot. Autom., 12, 1, 47-62 (1996) · doi:10.1109/70.481750
[46] Cui, MY; Wu, ZJ, Trajectory tracking of flexible joint manipulators actuated by DC-motors under random disturbances, J. Frank. Inst., 356, 16, 9330-9343 (2019) · Zbl 1423.93273 · doi:10.1016/j.jfranklin.2019.08.038
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