×

Projective synchronisation of variable-order systems via fractional sliding mode control approach. (English) Zbl 07907030

Summary: This study concerns with the projective synchronisation problem of fractional variable-order master-slave systems via the fractional sliding mode control. Firstly, an applicative index law is designed for the considered fractional variable-order system based on the Grünwald-Letnikov definition. Secondly, two different fractional variable-order sliding surface functions are proposed to study this projective synchronisation problem. Meanwhile, sufficient conditions are obtained to ensure the projective synchronising error is asymptotically stable. Finally, numerical examples show the validity and feasibility of the proposed approach.
© 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology

MSC:

93B12 Variable structure systems
93C15 Control/observation systems governed by ordinary differential equations
34A08 Fractional ordinary differential equations
93D20 Asymptotic stability in control theory
Full Text: DOI

References:

[1] PodlubnyI.: ‘Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications’ (Elsevier, USA, 1998)
[2] BoubelloutaA., and BoulkrouneA.: ‘Chaos synchronization of optical systems via a fractional‐order sliding mode controller’. 2017 5th Int. Conf. on Electrical Engineering‐Boumerdes (ICEE‐B), Boumerdes, Algeria, 2017, pp. 1-6
[3] BettayebM.Al‐SaggafU.M., and DjennouneS.: ‘High gain observer design for fractional‐order non‐linear systems with delayed measurements: application to synchronisation of fractional‐order chaotic systems’, IET Control Theory Applic., 2017, 11, (17), pp. 3171-3178
[4] DelavariH., and MohadeszadehM.: ‘Robust finite‐time synchronization of non‐identical fractional‐order hyperchaotic systems and its application in secure communication’, IEEE/CAA J. Autom. Sin., 2019, 6, (1), pp. 228-235
[5] ChenS.Y., and LeeC.Y.: ‘Digital signal processor based intelligent fractional‐order sliding‐mode control for a linear voice coil actuator’, IET Control Theory Applic., 2016, 11, (8), pp. 1282-1292
[6] WangH., and ZhengX.: ‘Wellposedness and regularity of the variable‐order time‐fractional diffusion equations’, J. Math. Anal. Appl., 2019, 475, (2), pp. 1778-1802 · Zbl 1516.35477
[7] HajipourM.JajarmiA., and BaleanuD.et al.: ‘On an accurate discretization of a variable‐order fractional reaction‐diffusion equation’, Commun. Nonlinear Sci. Numer. Simul., 2019, 69, pp. 119-133 · Zbl 1509.65071
[8] KuangZ.SunG., and GaoH.: ‘Simplified newton‐based CEE and discrete‐time fractional‐order sliding‐mode CEC’, IEEE/ASME Trans. Mechatronics, 2019, 24, (1), pp. 175-185
[9] ChenS.Y.ChiangH.H., and LiuT.S.et al.: ‘Precision motion control of permanent magnet linear synchronous motors using adaptive fuzzy fractional‐order sliding‐mode control’, IEEE/ASME Trans. Mechatronics, 2019, 24, (2), pp. 741-752
[10] QiaoL., and ZhangW.: ‘Double‐loop integral terminal sliding mode tracking control for UUVs with adaptive dynamic compensation of uncertainties and disturbances’, IEEE J. Ocean. Eng., 2018, 44, (1), pp. 29-53
[11] MaleszaW.MaciasM., and SierociukD.: ‘Analytical solution of fractional variable order differential equations’, J. Comput. Appl. Math., 2019, 348, pp. 214-236 · Zbl 1409.34014
[12] XuS.SunG., and MaZ.et al.: ‘Fractional‐order fuzzy sliding mode control for the deployment of tethered satellite system under input saturation’, IEEE Trans. Aerosp. Electron. Syst., 2018, 55, (2), pp. 747-756
[13] WangC., and ZhaoY.: ‘Performance analysis and control of fractional‐order positive systems’, IET Control Theory Applic., 2019, 13, (7), pp. 928-934 · Zbl 1432.93284
[14] OziabloP.: ‘Fractional‐, variable‐order discrete‐time linear equations – numerical investigations of parameters’. 2018 Int. Interdisciplinary PhD Workshop (IIPhDW), Swinoujście, Poland, 2018, pp. 273-276
[15] BhrawyA.H.TahaT.M., and MachadoJ.A.T.: ‘A review of operational matrices and spectral techniques for fractional calculus’, Nonlinear Dyn., 2015, 81, (3), pp. 1023-1052 · Zbl 1348.65106
[16] LiH., and KaoY.G.: ‘Mittag-Leffler stability for a new coupled system of fractional‐order differential equations with impulses’, Appl. Math. Comput., 2019, 361, pp. 22-31 · Zbl 1428.34015
[17] ZouW., and XiangZ.: ‘Containment control of fractional‐order nonlinear multi‐agent systems under fixed topologies’, IMA J. Math. Control Inf., 2017, 35, (3), pp. 1027-1041 · Zbl 1402.93044
[18] HuangS., and XiangZ.: ‘Stability of a class of fractional‐order two‐dimensional non‐linear continuous‐time systems’, IET Control Theory Applic., 2016, 10, (18), pp. 2559-2564
[19] EmelyanovS.V.: ‘Variable structure control systems’ (Nauka, Moscow, 1967)
[20] JiangB.KarimiH.R., and KaoY.et al.: ‘Takagi-Sugeno model based event‐triggered fuzzy sliding mode control of networked control systems with semi‐Markovian switchings’, IEEE Trans. Fuzzy Syst., 2019, to appear, doi: 10.1109/TFUZZ.2019.2914005
[21] WangY.KarimiH.R., and ShenH.et al.: ‘Fuzzy‐model‐based sliding mode control of nonlinear descriptor systems’, IEEE Trans. Cybern., 2018, 49, (9), pp. 3409-3419
[22] XieX.YueD., and PengC.: ‘Relaxed real‐time scheduling stabilization of discrete‐time Takagi-Sugeno fuzzy systems via an alterable‐weights‐Based ranking switching mechanism’, IEEE Trans. Fuzzy Syst., 2018, 26, (6), pp. 3808-3819
[23] JiangB.KaoY., and GaoC.: ‘Integrator‐based robust \(H_\infty\) sliding mode control of uncertain stochastic Markovian jump delay systems with non‐linear perturbations’, IET Control Theory Applic., 2016, 11, (8), pp. 1124-1133
[24] LiY., and KaoY.: ‘Stability of coupled impulsive Markovian jump reaction‐diffusion systems on networks’, J. Syst. Sci. Complex., 2016, 29, (5), pp. 1269-1280 · Zbl 1387.93169
[25] KarimiH.R.: ‘Sliding mode exponential \(H_\infty\) synchronization of Markovian jumping master‐slave systems with time‐delays and nonlinear uncertainties’. 2011 50th IEEE Conf. on Decision and Control and European Control Conf., Orlando, FL, USA, 2011, pp. 7617-7622
[26] HanY.KaoY., and GaoC.: ‘Robust sliding mode control for uncertain discrete singular systems with time‐varying delays and external disturbances’, Automatica, 2017, 75, pp. 210-216 · Zbl 1351.93035
[27] HanY.KaoY., and GaoC.et al.: ‘\(H_\infty\) sliding mode control of discrete switched systems with time‐varying delays’, ISA Trans., 2019, 89, pp. 12-19
[28] GaoC.LiuZ., and XuR.: ‘On exponential stabilization for a class of neutral‐type systems with parameter uncertainties: an integral sliding mode approach’, Appl. Math. Comput., 2013, 219, (23), pp. 11044-11055 · Zbl 1302.93187
[29] JiangB.KarimiH.R., and KaoY.et al.: ‘A novel robust fuzzy integral sliding mode control for nonlinear semi‐Markovian jump T‐S fuzzy systems’, IEEE Trans. Fuzzy Syst., 2018, 26, (6), pp. 3594-3604
[30] ChenJ.LiC., and YangX.: ‘Global Mittag‐Leffler projective synchronization of nonidentical fractional‐order neural networks with delay via sliding mode control’, Neurocomputing, 2018, 313, pp. 324-332
[31] BataghvaM., and HashemiM.: ‘Adaptive sliding mode synchronisation for fractional‐order non‐linear systems in the presence of time‐varying actuator faults’, IET Control Theory Applic., 2017, 12, (3), pp. 377-383
[32] LiuY.NiuY., and ZouY.et al.: ‘Adaptive sliding mode reliable control for switched systems with actuator degradation’, IET Control Theory Applic., 2015, 9, (8), pp. 1197-1204
[33] DeepikaD.KaurS., and NarayanS.: ‘Uncertainty and disturbance estimator based robust synchronization for a class of uncertain fractional chaotic system via fractional order sliding mode control’, Chaos Solitons Fractals, 2018, 115, pp. 196-203 · Zbl 1416.93123
[34] WangJ.ShaoC., and ChenY.Q.: ‘Fractional order sliding mode control via disturbance observer for a class of fractional order systems with mismatched disturbance’, Mechatronics, 2018, 53, pp. 8-19
[35] AllafiW.ZajicI., and UddinK.et al.: ‘Parameter estimation of the fractional‐order hammerstein-wiener model using simplified refined instrumental variable fractional‐order continuous time’, IET Control Theory Applic., 2017, 11, (15), pp. 2591-2598
[36] SakrajdaP., and WiraszkaM.S.: ‘Fractional variable‐order model of heat transfer in time‐varying fractal media’. 2018 19th Int. Carpathian Control Conf. (ICCC), Szilvasvarad, Hungary, 2018, pp. 548-552
[37] ValérioD., and Sá da CostaJ.: ‘Variable order fractional controllers’, Asian J. Control, 2013, 15, (3), pp. 648-657 · Zbl 1327.93224
[38] OrtigueiraM.D., and MachadoJ.A.T.: ‘What is a fractional derivative?’, J. Comput. Phys., 2015, 293, pp. 4-13 · Zbl 1349.26016
[39] OrtigueiraM.D.ValérioD., and MachadoJ.T.: ‘Variable order fractional systems’, Commun. Nonlinear Sci. Numer. Simul., 2019, 71, pp. 231-243 · Zbl 1464.26007
[40] SierociukD., and TwardyM.: ‘Duality of variable fractional order difference operators and its application in identification’, Bull. Pol. Acad. Sci. Tech. Sci., 2014, 62, (4), pp. 809-815
[41] RossB.: ‘A brief history and exposition of the fundamental theory of fractional calculus’, Fractional calculus and its applications’ (Springer, Berlin, Heidelberg, 1975), pp. 1-36 · Zbl 0303.26004
[42] ŠilovG.E., and Gel’fandI.M.: ‘Generalized functions. 1. Properties and operations’ (Academic Press, New York, USA, 1969)
[43] TarasovV.E.: ‘No violation of the Leibniz rule. No fractional derivative’, Commun. Nonlinear Sci. Numer. Simul., 2013, 18, (11), pp. 2945-2948 · Zbl 1329.26015
[44] YangW., and GaoY.: ‘Fractional‐order chaotic synchronization with unknown and uncertain via a new fuzzy sliding mode control’. 2017 13th Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC‐FSKD), Guilin, China, 2017, pp. 1290-1294
[45] VijayK.Y.SubirD., and DonatoC.et al.: ‘Complex projective synchronization of fractional complex systems using nonlinear control method’. 2018 Int. Conf. on Environment and Electrical Engineering and 2018 Industrial and Commercial Power Systems Europe (EEEIC/I&CPS), Europe, 2018, pp. 1-6
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.