Novel fuzzy event-triggered adaptive control for nonlinear systems with input hysteresis

• Abualigah LMQ (2019) Feature selection and enhanced krill herd algorithm for text document clustering. Springer, Berlin

  Book  Google Scholar 

• Abualigah L (2020) Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications. Neural Comput Appl 2020:1–21

  Google Scholar 

• Abualigah L, Diabat A (2020) A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Clust Comput 2020:1–19

  Google Scholar 

• Abualigah LMQ, Hanandeh ES (2015) Applying genetic algorithms to information retrieval using vector space model. Int J Comput Sci Eng Appl 5(1):19

  Google Scholar 

• Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795

  Article  Google Scholar 

• Abualigah LM, Khader AT, Hanandeh ES et al (2017) A novel hybridization strategy for krill herd algorithm applied to clustering techniques. Appl Soft Comput 60:423–435

  Article  Google Scholar 

• Abualigah LM, Khader AT, Hanandeh ES (2018a) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466

  Article  Google Scholar 

• Abualigah LM, Khader AT, Hanandeh ES (2018b) A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Eng Appl Artif Intell 73:111–125

  Article  Google Scholar 

• Abualigah LM, Khader AT, Hanandeh ES (2018c) Hybrid clustering analysis using improved krill herd algorithm. Appl Intell 48(11):4047–4071

  Article  Google Scholar 

• Chen M, Ge SS (2015) Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer. IEEE Trans Ind Electron 62(12):7706–7716

  Article  MathSciNet  Google Scholar 

• Chen Z, Wang J, Ma K et al (2020) Fuzzy adaptive two-bits-triggered control for nonlinear uncertain system with input saturation and output constraint. Int J Adapt Control Signal Process 34(4):543–559

  Article  MathSciNet  Google Scholar 

• Eremin EL, Shelenok EA (2015) Adaptive periodic servo-system for nonlinear control-affine objects. Optoelectron Instrument Data Process 51(5):523–529

  Article  Google Scholar 

• Garcia E, Antsaklis PJ (2013) Model-based event-triggered control for systems with quantization and time-varying network delays. IEEE Trans Autom Control 58(2):422–434

  Article  MathSciNet  Google Scholar 

• Girard A (2015) Dynamic triggering mechanisms for event-triggered control. IEEE Trans Autom Control 60(7):1992–1997

  Article  MathSciNet  Google Scholar 

• He W, Meng T (2018) Adaptive control of a flexible string system with input hysteresis. IEEE Trans Control Syst Technol 26(2):693–700

  Article  Google Scholar 

• He W, Chen Y, Yin Z (2016) Adaptive neural network control of an uncertain robot with full-state constraints. IEEE Trans Cybern 46(3):620–629

  Article  Google Scholar 

• Hu W, Liu L, Feng G (2016) Consensus of linear multi-agent systems by distributed event-triggered strategy. IEEE Trans Cybern 46(1):148–157

  Article  Google Scholar 

• Ioannou PA, Kokotovic PV (1983) Adaptive systems with reduced models. Springer, New York

  Book  Google Scholar 

• Li YM, Tong S (2017) Adaptive neural networks decentralized FTC design for nonstrict-feedback nonlinear interconnected large-scale systems against actuator faults. IEEE Trans Neural Netw Learn Syst 28(11):2541–2554

  Article  MathSciNet  Google Scholar 

• Li YX, Yang GH (2018) Model-based adaptive event-triggered control of strict-feedback nonlinear systems. IEEE Trans Neural Netw Learn Syst 29(4):1033–1045

  Article  MathSciNet  Google Scholar 

• Li SE, Li R, Wang J et al (2017) Stabilizing periodic control of automated vehicle platoon with minimized fuel consumption. IEEE Trans Transport Electr 3(1):259–271

  Article  Google Scholar 

• Liu YJ, Gao Y, Tong S et al (2016) Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone. IEEE Trans Fuzzy Syst 24(1):16–28

  Article  Google Scholar 

• Liu YJ, Tong S, Chen CLP et al (2016) Neural controller design-based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs. IEEE Trans Cybern 46(1):9–19

  Article  Google Scholar 

• Pan Y, Yang GH (2017) Event-triggered fuzzy control for nonlinear networked control systems. Fuzzy Sets Syst 329:91–107

  Article  MathSciNet  Google Scholar 

• Shi P, Wang H, Lim CC (2016) Network-based event-triggered control for singular systems with quantizations. IEEE Trans Ind Electron 63(2):1230–1238

  Article  Google Scholar 

• Singh AK, Singh R, Pal BC (2015) Stability analysis of networked control in smart grids. IEEE Trans Smart Grid 6(1):381–390

  Article  Google Scholar 

• Su CY, Stepanenko Y, Svoboda J et al (2000) Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis. IEEE Trans Autom Control 45(12):2427–2432

  Article  MathSciNet  Google Scholar 

• Wang H, Liu X, Liu K et al (2015) Approximation-based adaptive fuzzy tracking control for a class of nonstrict-feedback stochastic nonlinear time-delay systems. IEEE Trans Fuzzy Syst 23(5):1746–1760

  Article  Google Scholar 

• Wang YL, Shi P, Lim CC et al (2016) Event-triggered fault detection filter design for a continuous-time networked control system. IEEE Trans Cybern 46(12):3414–3426

  Article  Google Scholar 

• Wang J, Liu Z, Zhang Y et al (2019) Neural adaptive event-triggered control for nonlinear uncertain stochastic systems with unknown hysteresis. IEEE Trans Neural Netw Learn Syst 30(11):3300–3311

  Article  MathSciNet  Google Scholar 

• Wang J, Liu Z, Zhang Y et al (2020) Adaptive neural control of a class of stochastic nonlinear uncertain systems with guaranteed transient performance. IEEE Trans Cybern 50(7):2971–2981

  Article  Google Scholar 

• Wang JH, Huang YC, Wang T et al (2020) Fuzzy finite-time stable compensation control for a building structural vibration system with actuator failures. Appl Soft Comput 93:106372

  Article  Google Scholar 

• Wu L, Gao Y, Liu J et al (2017) Event-triggered sliding mode control of stochastic systems via output feedback. Automatica 82:79–92

  Article  MathSciNet  Google Scholar 

• Xing L, Wen C, Liu Z et al (2017) Event-triggered adaptive control for a class of uncertain nonlinear systems. IEEE Trans Autom Control 62(4):2071–2076

  Article  MathSciNet  Google Scholar 

• Xing L, Wen C, Liu Z et al (2019) Event-triggered output feedback control for a class of uncertain nonlinear systems. IEEE Trans Autom Control 64(1):290–297

  Article  MathSciNet  Google Scholar 

• Yang D, Ren W, Liu X et al (2016) Decentralized event-triggered consensus for linear multi-agent systems under general directed graphs. Automatica 69:242–249

  Article  MathSciNet  Google Scholar 

• Young WH (1912) On classes of summable functions and their Fourier series. Proc R Soc A 87(594):225–229

  MATH  Google Scholar 

• Zhang XM, Han QL, Yu X (2017) Survey on recent advances in networked control systems. IEEE Trans Ind Inf 12(5):1740–1752

• Zhang CL, Chen ZC, Wang JH et al (2020) Fuzzy adaptive two-bit-triggered control for a class of uncertain nonlinear systems with actuator failures and dead-zone constraint. IEEE Trans Cybern. https://doi.org/10.1109/TCYB.2020.2970736

• Zhou J, Wen C (2007) Adaptive backstepping control of uncertain systems: nonsmooth nonlinearities. In:2007 IEEE international conference on control and automation. IEEE, pp 2749–2754

• Zhou J, Wen C, Zhang Y (2004) Adaptive backstepping control of a class of uncertain nonlinear systems with unknown backlash-like hysteresis. IEEE Trans Autom Control 49(10):1751–1759

  Article  MathSciNet  Google Scholar 

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