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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2023

06.09.2022

Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach

verfasst von: Zheng-Duo Shan, Wen-Jing He, Yu-Qun Han, Shan-Liang Zhu

Erschienen in: Neural Processing Letters | Ausgabe 3/2023

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Abstract

For the large-scale nonlinear systems subject to dynamic uncertainties, an adaptive multi-dimensional Taylor network (MTN)-based decentralized control strategy is proposed, which can effectively solve output tracking control problem of the systems. Firstly, a dynamic signal is introduced to cope with the problem of unknown nonlinear dynamic uncertainties. Secondly, in each step of the backstepping, only one MTN is used to approximate the combination of unknown nonlinear functions. Then, in the last step of the backstepping, a new adaptive control scheme is designed, which realizes the stability and boundedness of the controlled systems. It is worth noting that the large-scale nonlinear systems, the unknown dynamic uncertainties and the MTN appear in the same framework for the first time. Finally, three simulation examples are presented to verify the feasibility of the proposed control strategy.
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Literatur
1.
Zhou JH, Shi P, Gan DQ, Xu Y, Xin HH, Jiang CM, Xie H, Wu T (2017) Large-scale power system robust stability analysis based on value set approach. IEEE Trans Power Syst 32(5):4012–4023CrossRef
2.
Qu YC, Zhou XS (2017) Large-scale dynamic transportation network simulation: a space-time-event parallel computing approach. Transp Res Part C Emerg Technol 75:1–16CrossRef
3.
Goldschmid J, Corns S (2021) A cluster-based framework for interface analysis in large-scale aerospace systems. Syst Eng 24(5):339–351CrossRef
4.
Morariu C, Morariu O, Răileanu S, Borangiu T (2020) Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems. Comput Ind 120:103244CrossRef
5.
Chen XF, Huang XY, Li J, Ma JF, Lou WJ, Wong DS (2015) New algorithms for secure outsourcing of large-scale systems of linear equations. IEEE Trans Inf Forensics Secur 10(1):69–78CrossRef
6.
Wang YS, Matni N, Doyle JC (2018) Separable and localized system-level synthesis for large-scale systems. IEEE Trans Autom Control 63(12):4234–4249MathSciNetCrossRefMATH
7.
Liu Y, Liu XP, Jing YW, Wang HQ, Li XH (2021) Annular domain finite-time connective control for large-scale systems with expanding construction. IEEE Trans Syst Man Cybern Syst 51(10):6159–6169CrossRef
8.
Zhang X, Lin Y (2014) Nonlinear decentralized control of large-scale systems with strong interconnections. Automatica 50(9):2419–2423MathSciNetCrossRefMATH
9.
Zhu Y, Fridman E (2020) Predictor methods for decentralized control of large-scale systems with input delays. Automatica 116:108903MathSciNetCrossRefMATH
10.
Wang Z, Huang X, Shen H (2012) Control of an uncertain fractional order economic system via adaptive sliding mode. Neurocomputing 83:83–88CrossRef
11.
Wang W, Wen CY, Huang JS, Zhou J (2020) Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults. Automatica 111:108667MathSciNetCrossRefMATH
12.
Wang W, Long J, Zhou J, Huang JS, Wen CY (2021) Adaptive backstepping based consensus tracking of uncertain nonlinear systems with event-triggered communication. Automatica 133:109841MathSciNetCrossRefMATH
13.
Zhou J, Wen CY, Yang GH (2014) Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal. IEEE Trans Autom Control 59(2):460–464MathSciNetCrossRefMATH
14.
Jiang ZP (2000) Decentralized and adaptive nonlinear tracking of large-scale systems via output feedback. IEEE Trans Autom Control 45(11):2122–2128MathSciNetCrossRefMATH
15.
Xie CH, Yang GH (2017) Decentralized adaptive fault-tolerant control for large-scale systems with external disturbances and actuator faults. Automatica 85:83–90MathSciNetCrossRefMATH
16.
Du PH, Pan YN, Li HY, Lam HK (2021) Nonsingular finite-time event-triggered fuzzy control for large-scale nonlinear systems. IEEE Trans Fuzzy Syst 29(8):2088–2099CrossRef
17.
Wang HQ, Liu PXP, Bao JL, Xie XJ, Li S (2020) Adaptive neural output-feedback decentralized control for large-scale nonlinear systems with stochastic disturbances. IEEE Trans Neural Netw Learn Syst 31(3):972–983MathSciNetCrossRef
18.
Zhang J, Li S, Ahn CK, Xiang ZR (2022) Decentralized event-triggered adaptive fuzzy control for nonlinear switched large-scale systems with input delay via command-filtered backstepping. IEEE Trans Fuzzy Syst 30(6):2118–2123CrossRef
19.
Long LJ, Zhao J (2017) Decentralized adaptive neural output-feedback DSC for switched large-scale nonlinear systems. IEEE Trans Cybern 47(4):908–919MathSciNetCrossRef
20.
Tong SC, Sui S, Li YM (2014) Adaptive fuzzy decentralized output stabilization for stochastic nonlinear large-scale systems with unknown control directions. IEEE Trans Fuzzy Syst 22(5):1365–1372CrossRef
21.
Zhou Q, Shi P, Liu HH, Xu SY (2012) Neural-network-based decentralized adaptive output-feedback control for large-scale stochastic nonlinear systems. IEEE Trans Syst Man Cybern Part B Cybern 42(6):1608–1619CrossRef
22.
Han YQ, Li N, He WJ, Zhu SL (2021) Adaptive multi-dimensional Taylor network funnel control of a class of nonlinear systems with asymmetric input saturation. Int J Adapt Control Signal Process 35(5):713–726MathSciNetCrossRef
23.
Zhang JJ, Yan HS (2019) MTN optimal control of MIMO non-affine nonlinear time-varying discrete systems for tracking only by output feedback. J Franklin Inst 356(8):4304–4334MathSciNetCrossRefMATH
24.
25.
He WJ, Zhu SL, Li N, Han YQ (2022) Adaptive controller design for switched stochastic nonlinear systems subject to unknown dead-zone input via new type of network approach. Int J Control Autom Syst. (Accepted)
26.
Han YQ (2021) Design of decentralized adaptive control approach for large-scale nonlinear systems subjected to input delays under prescribed performance. Nonlinear Dyn 106(1):565–582CrossRef
27.
Zhu SL, Han YQ (2022) Adaptive decentralized prescribed performance control for a class of large-scale nonlinear systems subject to nonsymmetric input saturations. Neural Comput Appl 34(13):11123–11140MathSciNetCrossRef
28.
Wang N, Lv SL, Er MJ, Chen WH (2016) Fast and accurate trajectory tracking control of an autonomous surface vehicle with unmodeled dynamics and disturbances. IEEE Trans Intell Veh 1(3):230–243CrossRef
29.
Zheng JZ, Yao JY (2019) Robust adaptive tracking control of hydraulic actuators with unmodeled dynamics. Trans Inst Meas Control 41(14):3887–3898CrossRef
30.
Jiang ZP, Praly L (1998) Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties. Automatica 34(7):825–840MathSciNetCrossRefMATH
31.
Cui D, Wu YF, Xiang ZR (2021) Finite-time adaptive fault-tolerant tracking control for nonlinear switched systems with dynamic uncertainties. Int J Robust Nonlinear Control 31(8):2976–2992MathSciNetCrossRef
32.
Feng SS, Sun ZY, Zhou CQ, Chen CC, Meng QH (2021) Output tracking control via neural networks for high-order stochastic nonlinear systems with dynamic uncertainties. Int J Fuzzy Syst 23:716–726CrossRef
33.
Liu YJ, Tong SC, Chen CLP (2013) Adaptive fuzzy control via observer design for uncertain nonlinear systems with unmodeled dynamics. IEEE Trans Fuzzy Syst 21(2):275–288CrossRef
34.
Tong SC, Liu CL, Li YM (2010) Fuzzy-adaptive decentralized output-feedback control for large-scale nonlinear systems with dynamical uncertainties. IEEE Trans Fuzzy Syst 18(5):845–861CrossRef
35.
Zhang TP, Xia XN (2015) Decentralized adaptive fuzzy output feedback control of stochastic nonlinear large-scale systems with dynamic uncertainties. Inf Sci 315:17–38MathSciNetCrossRefMATH
36.
Zhang JJ (2021) Adaptive multi-dimensional Taylor network dynamic surface control for a class of strict-feedback uncertain nonlinear systems with unmodeled dynamics and output constraint. ISA Trans 108:35–47CrossRef
37.
Li YM, Tong SC (2015) Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays. Inf Sci 292:125–142MathSciNetCrossRefMATH
38.
39.
Han YQ (2018) Adaptive tracking control of nonlinear systems with dynamic uncertainties using neural network. Int J Syst Sci 49(7):1391–1402MathSciNetCrossRefMATH
40.
Tong SC, Li YM, Shi P (2009) Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties. Inf Sci 179(9):1319–1332MathSciNetCrossRefMATH
41.
He WJ, Han YQ, Li N, Zhu SL (2022) Novel adaptive controller design for a class of switched nonlinear systems subject to input delay using multi-dimensional Taylor network. Int J Adapt Control Signal Process 36(3):607–624MathSciNetCrossRef
Metadaten
Titel
Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach
verfasst von
Zheng-Duo Shan
Wen-Jing He
Yu-Qun Han
Shan-Liang Zhu
Publikationsdatum
06.09.2022
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2023
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-022-11020-3

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