Abstract
This paper investigates a low-complexity robust decentralized fault-tolerant prescribed performance control scheme for uncertain larger-scale nonlinear systems with consideration of the unknown nonlinearity, actuator failures, dead-zone input, and external disturbance. Firstly, a new simple finite-time-convergent differentiator is developed to obtain the unmeasurable state variables with arbitrary accuracy. Then, a time-varying sliding manifold involving the output tracking error and its high-order derivatives is constructed to tackle the high-order dynamics of subsystems. Sequentially, a robust decentralized fault-tolerant control scheme is proposed for each sliding manifold with prescribed convergence rate. The prominent advantage of the proposed fault-tolerant control scheme is that any specialized approximation technique, disturbance observer, and recursive procedure of backstepping technique are avoided, which dramatically alleviates the complexity of controller design. Finally, two groups of illustrative examples are employed to demonstrate the effectiveness of the low-complexity decentralized fault-tolerant control scheme under the developed finite-time-convergent differentiator.
Similar content being viewed by others
References
Jain, S., Khorrami, F.: Decentralized adaptive control of a class of large-scale interconnected nonlinear systems. IEEE Trans. Autom. Control 42(2), 136–154 (1997)
Huang, S.N., Tan, K.K., Lee, T.H.: Nonlinear adaptive control of interconnected systems using neural networks. IEEE Trans. Neural Netw. 17(1), 243–246 (2006)
Bakule, L.: Decentralized control: an overview. Annu. Rev. Control 32(1), 87–98 (2008)
Tong, S.C., Liu, C.L., Li, Y.M.: Fuzzy-adaptive decentralized output-feedback control for large-scale nonlinear systems with dynamical uncertainties. IEEE Trans. Fuzzy Syst. 18(5), 845–861 (2010)
Li, Z., Deng, S., Su, C.Y., Li, G.: Decentralized adaptive control of cooperating mobile manipulators with disturbance observers. IET Control Theory Appl. 8(7), 515–521 (2014)
Wang, M.M., Luo, J.J., Walter, U.: Novel synthesis method for minimizing attitude disturbance of the free-floating space robots. J. Guid. Control Dyn. 39(3), 1–10 (2015)
Koo, G.B., Park, J.B., Joo, Y.H.: Decentralized control for large-scale sampled-data systems: digital redesign approach. Int. J. Control 88(11), 2181–2193 (2015)
Liu, Y.J., Tong, S.C., Li, T.S.: Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems. Fuzzy Sets Syst. 164(1), 25–44 (2011)
Chen, M., Ge, S.S.: Direct adaptive neural control for a class of uncertain nonaffine nonlinear systems based on disturbance observer. IEEE Trans. Cybern. 43(4), 1213–1225 (2013)
Karimi, B., Menhaj, M.B.: Non-affine nonlinear adaptive control of decentralized large-scale systems using neural networks. Inf. Sci. 180(17), 3335–3347 (2010)
Tong, S.C., Li, Y.M., Zhang, H.G.: Adaptive neural network decentralized backstepping output-feedback control for nonlinear large-scale systems with time delays. IEEE Trans. Neural Netw. 22(7), 1073–1086 (2011)
Zhou, Q., Shi, P., Liu, H., Xu, S.: Neural-network-based decentralized adaptive output-feedback control for large-scale stochastic nonlinear systems. IEEE Trans. Syst. Man Cybern. Part B Cybern. 42(6), 1608–1619 (2012)
Chen, M., Tao, G.: Adaptive fault-tolerant control of uncertain nonlinear large-scale systems with unknown dead zone. IEEE Trans. Cybern. 46(8), 1851–1862 (2016)
Yousef, H., El-Madbouly, E., Eteim, D., Hamdy, M.: Adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems with unknown interconnections. Int. J. Robust Nonlinear Control 16(15), 687–708 (2006)
Wang, H., Liu, X., Chen, B., Zhou, Q.: Adaptive fuzzy decentralized control for a class of pure-feedback large-scale nonlinear systems. Nonlinear Dyn. 75(3), 449–460 (2014)
Li, Y.M., Tong, S.C., Li, T.S.: Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems. IEEE Trans. Cybern. 45(1), 138–149 (2015)
Wang, H., Liu, X., Liu, K.: Robust adaptive neural tracking control for a class of stochastic nonlinear interconnected systems. IEEE Trans. Neural Netw. Learn. Syst. 27(3), 510–523 (2016)
Wu, L.B., Yang, G.H.: Decentralized adaptive fuzzy fault-tolerant tracking control of large-scale nonlinear systems with actuator failures. Neurocomputing 179, 307–317 (2016)
Li, J., Park, J.H.: Fault detection filter design for switched systems with quantization effects. J. Franklin I. 353(11), 2431–2450 (2016)
Tian, M., Tao, G.: Adaptive dead-zone compensation for output-feedback canonical systems. Int. J. Control 67(5), 791–812 (1997)
Li, Y.X., Yang, G.H.: Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults. Automatica 72, 177–185 (2016)
Park, J.H., Mathiyalagan, K., Sakthivel, R.: Fault estimation for discrete-time switched nonlinear systems with discrete and distributed delays. Int. J. Robust Nonlinear Control 26(17), 3755–3771 (2016)
Alwi, H., Edwards, C.: Fault tolerant control using sliding modes with on-line control allocation. Automatica 44(7), 1859–1866 (2008)
Hao, L.Y., Park, J.H., Ye, D.: Fuzzy logic systems-based integral sliding mode fault-tolerant control for a class of uncertain non-linear systems. IET Control Theory Appl. 10(3), 300–311 (2016)
Hao, L.Y., Park, J.H., Ye, D.: Integral sliding mode fault-tolerant control for uncertain linear systems over networks with signals quantization. IEEE Trans. Neural Netw. Learn. Syst. (2016). doi:10.1109/TNNLS.2016.2574905
Tong, S.C., Huo, B.Y., Li, Y.M.: Observer-based adaptive decentralized fuzzy fault-tolerant control of nonlinear large-scale systems with actuator failures. IEEE Trans. Fuzzy Syst. 22(1), 1–15 (2014)
Zhou, J.: Decentralized adaptive control for large-scale time-delay systems with dead-zone input. Automatica 44(7), 1790–1799 (2008)
Ma, H.J., Yang, G.H.: Adaptive output control of uncertain nonlinear systems with non-symmetric dead-zone input. Automatica 46(2), 413–420 (2010)
Tong, S.C., Li, Y.M.: Adaptive fuzzy decentralized output feedback control for nonlinear large-scale systems with unknown dead-zone inputs. IEEE Trans. Fuzzy Syst. 21(5), 913–925 (2013)
Yoo, S.J.: Decentralised fault compensation of time-delayed interactions and dead-zone actuators for a class of large-scale non-linear systems. IET Control Theory Appl. 9(9), 1461–1471 (2015)
Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906 (2009)
Guo, B.Z., Zhao, Z.L.: On the convergence of an extended state observer for nonlinear systems with uncertainty. Syst. Control Lett. 60(6), 420–430 (2011)
Li, B., Hu, Q., Ma, G.: Extended state observer based robust attitude control of spacecraft with input saturation. Aerosp. Sci. Technol. 50, 173–182 (2016)
Wang, X.H., Chen, Z.Q., Yang, G.: Finite-time-convergent differentiator based on singular perturbation technique. IEEE Trans. Autom. Control 52(9), 1731–1737 (2007)
Bu, X.W., Wu, X.Y., Tian, M.Y., Huang, J.Q., Zhang, R., Ma, Z.: High-order tracking differentiator based adaptive neural control of a flexible air-breathing hypersonic vehicle subject to actuators constraints. ISA Trans. 58, 237–247 (2015)
Levant, A.: Higher-order sliding modes, differentiation and output-feedback control. Int. J. Control 76(9–10), 924–941 (2003)
Bu, X.W., Wu, X.Y., Zhang, R., Ma, Z., Huang, J.Q.: Tracking differentiator design for the robust backstepping control of a flexible air-breathing hypersonic vehicle. J. Franklin I. 352(4), 1739–1765 (2015)
Bechlioulis, C.P., Rovithakis, G.A.: Robust adaptive control of feedback linearizable mimo nonlinear systems with prescribed performance. IEEE Trans. Autom. Control 53(9), 2090–2099 (2008)
Li, Y.M., Tong, S.C.: Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays. Inf. Sci. 292, 125–142 (2015)
Han, S.I., Lee, J.M.: Prescribed performance fuzzy backstepping control for nonlinear large-scale systems. Int. J. Control Autom. Syst. 13(6), 1508–1520 (2015)
Bechlioulis, C.P., Doulgeri, Z., Rovithakis, G.A.: Neuro-adaptive force/position control with prescribed performance and guaranteed contact maintenance. IEEE Trans. Neural Netw. 21(12), 1857–1868 (2010)
Sun, D., Naghdy, F., Du, H.P.: Time domain passivity control of time-delayed bilateral telerobotics with prescribed performance. Nonlinear Dyn. 87(2), 1253–1270 (2017)
Bu, X.W., Wu, X.Y., Huang, J.Q., Wei, D.Z.: A guaranteed transient performance-based adaptive neural control scheme with low-complexity computation for flexible air-breathing hypersonic vehicles. Nonlinear Dyn. 84(4), 2175–2194 (2016)
Bechlioulis, C.P., Rovithakis, G.A.: A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems. Automatica 50(4), 1217–1226 (2014)
Bu, X.W., Wu, X.Y., Huang, J.Q., Wei, D.Z.: Robust estimation-free prescribed performance back-stepping control of air-breathing hypersonic vehicles without affine models. Int. J. Control 89(11), 2185–2200 (2016)
Bechlioulis, C.P., Rovithakis, G.A.: Decentralized robust synchronization of unknown high order nonlinear multi-agent systems with prescribed transient and steady state performance. IEEE Trans. Autom. Control 62(1), 123–134 (2017)
Choi, Y.H., Yoo, S.J.: Decentralized approximation-free control for uncertain large-scale pure-feedback systems with unknown time-delayed nonlinearities and control directions. Nonlinear Dyn. 85(2), 1053–1066 (2016)
Park, J.H., Kim, S.H., Moon, C.J.: Adaptive neural control for strict-feedback nonlinear systems without backstepping. IEEE Trans. Neural Netw. 20(7), 1204–1209 (2009)
Haimo, V.T.: Finite time controllers. SIAM J. Control Optim. 24(4), 760–770 (1986)
Bhat, S.P., Bernstein, D.S.: Finite-time stability of continuous autonomous systems. SIAM J. Control Optim. 38(3), 751–766 (2000)
Bartle, R.: The Elements of Real Analysis. Wiley, Hoboken (1964)
Hušek P.: Adaptive sliding mode control with moving sliding surface. Appl. Soft Comput. 42, 178–183 (2016)
Sontag, E.D.: Mathematical Control Theory. Springer, London (1998)
Acknowledgements
This work was supported in part of the Major Program of National Natural Science Foundation of China (Grant Nos. 61690210, 61690211), the National Natural Science Foundation of China (Grant Nos. 11502203, 61603304), and the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University (Grant No. CX201602).
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
About this article
Cite this article
Wei, C., Luo, J., Dai, H. et al. Low-complexity differentiator-based decentralized fault-tolerant control of uncertain large-scale nonlinear systems with unknown dead zone. Nonlinear Dyn 89, 2573–2592 (2017). https://doi.org/10.1007/s11071-017-3605-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-017-3605-z