Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 9/2018

01.04.2017 | Original Article

Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints

verfasst von: Wenjie Si, Xunde Dong

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 9/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

An adaptive tracking control is investigated for a class of nonstrict-feedback nonlinear systems with time delays subject to input saturation nonlinearity and output constraint. First, the Gaussian error function is used to express the continuous differentiable asymmetric saturation model, and a barrier Lyapunov function is designed to ensure that the output parameters are restricted. Then, an appropriate Lyapunov–Krasovskii functional is chosen to deal with the unknown time-delay terms, and the neural network is used to model the unknown nonlinearities. Finally, based on Lyapunov stability theory, an adaptive neural controller is designed to establish the closed-loop system stability. The example is provided to further illustrate the effectiveness and applicability of the proposed approach.
Vorheriger Artikel A hybrid-based method for Chinese domain lightweight ontology construction
Nächster Artikel A study on unstable cuts and its application to sample selection

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Literatur
1.
Askari MR, Shahrokhi M, Talkhoncheh MK (2016) Observer-based adaptive fuzzy controller for nonlinear systems with unknown control directions and input saturation. Fuzzy Sets Syst. doi:10.​1016/​j.​fss.​2016.​05.​004
2.
Bouzeriba A, Boulkroune A, Bouden T (2016) Fuzzy adaptive synchronization of uncertain fractional-order chaotic systems. Int J Mach Learn Cybern 7(5):893–908CrossRefMATH
3.
Chen B, Liu X, Liu K, Lin C (2009) Novel adaptive neural control design for nonlinear mimo time-delay systems. Automatica 45(6):1554–1560MathSciNetCrossRefMATH
4.
Chen B, Liu X, Liu K, Lin C (2014) Fuzzy approximation-based adaptive control of nonlinear delayed systems with unknown dead zone. IEEE Trans Fuzzy Syst 22(2):237–248CrossRef
5.
Ge SS, Hong F, Lee TH (2004) Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Trans Syst Man Cybern Part B (Cybernetics) 34(1):499–516CrossRef
6.
7.
He W, Chen Y, Yin Z (2016) Adaptive neural network control of an uncertain robot with full-state constraints. IEEE Trans Cybern 46(3):620–629CrossRef
8.
He W, Dong Y, Sun C (2016) Adaptive neural impedance control of a robotic manipulator with input saturation. IEEE Trans Syst Man Cybern Syst 46(3):334–344CrossRef
9.
He W, Ge SS (2015) Vibration control of a flexible beam with output constraint. IEEE Trans Ind Electron 62(8):5023–5030CrossRef
10.
11.
He W, Zhang S, Ge SS (2014) Adaptive control of a flexible crane system with the boundary output constraint. IEEE Trans Ind Electron 61(8):4126–4133CrossRef
12.
Lewis F, Jagannathan S, Yesildirak A (1998) Neural network control of robot manipulators and non-linear systems. CRC Press
13.
Li Y, Li T, Jing X (2014) Indirect adaptive fuzzy control for input and output constrained nonlinear systems using a barrier lyapunov function. Int J Adaptive Control Signal Process 28(2):184–199MathSciNetCrossRefMATH
14.
Li Y, Li T, Tong S (2013) Adaptive fuzzy modular backstepping output feedback control of uncertain nonlinear systems in the presence of input saturation. Int J Mach Learn Cybern 4(5):527–536CrossRef
15.
Li Y, Ren C, Tong S (2012) Adaptive fuzzy backstepping output feedback control for a class of mimo time-delay nonlinear systems based on high-gain observer. Nonlinear Dyn 67(2):1175–1191MathSciNetCrossRefMATH
16.
Li Y, Tong S, Li T (2014) Adaptive fuzzy output-feedback control for output constrained nonlinear systems in the presence of input saturation. Fuzzy Sets Syst 248:138–155MathSciNetCrossRefMATH
17.
Li Z, Huang Z, He W, Su CY (2016) Adaptive impedance control for an upper limb robotic exoskeleton using biological signals. IEEE Trans Ind Electron 64(2):1664–1674CrossRef
18.
Li Z, Li T, Feng G (2016) Adaptive neural control for a class of stochastic nonlinear time-delay systems with unknown dead zone using dynamic surface technique. Int J Robust Nonlinear Control 26(4):759–781MathSciNetCrossRefMATH
19.
Lin D, Liu H, Song H, Zhang F (2014) Fuzzy neural control of uncertain chaotic systems with backlash nonlinearity. Int J Mach Learn Cybern 5(5):721–728CrossRef
20.
Lin W, Qian C (2002) Adaptive control of nonlinearly parameterized systems: the smooth feedback case. IEEE Trans Autom Control 47(8):1249–1266MathSciNetCrossRefMATH
21.
Ma J, Ge SS, Zheng Z, Hu D (2015) Adaptive nn control of a class of nonlinear systems with asymmetric saturation actuators. IEEE Trans Neural Netw Learn Syst 26(7):1532–1538MathSciNetCrossRef
22.
23.
Pan Y, Sun T, Yu H (2016) Composite adaptive dynamic surface control using online recorded data. Int J Robust Nonlinear Control 26(18):3921–3936MathSciNetCrossRefMATH
24.
Xu B, Sun F, Pan Y, Chen B (2016) Disturbance observer based composite learning fuzzy Control of nonlinear systems with unknown dead zone. IEEE Trans Syst Man Cybern Syst. doi:10.​1109/​TSMC.​2016.​2562502
25.
Polycarpou MM, Ioannou PA (1993) A robust adaptive nonlinear control design. In American control conference, 1993, pp 1365–1369
26.
Ren B, Ge SS, Tee KP, Lee TH (2010) Adaptive neural control for output feedback nonlinear systems using a barrier lyapunov function. IEEE Trans Neural Netw 21(8):1339–1345CrossRef
27.
Sun Y, Chen B, Lin C, Wang H (2016) Adaptive neural control for a class of stochastic non-strict-feedback nonlinear systems with time-delay. Neurocomputing 214:750–757CrossRef
28.
Tee KP, Ge SS, Tay EH (2009) Barrier lyapunov functions for the control of output-constrained nonlinear systems. Automatica 45(4):918–927MathSciNetCrossRefMATH
29.
30.
Zhou Q, Shi P, Tian Y, Wang M (2015) Approximation-based adaptive tracking control for mimo nonlinear systems with input saturation. IEEE Trans Cybern 45(10):2119–2128CrossRef
31.
Zhou Q, Shi P, Xu S, Li H (2013) Observer-based adaptive neural network control for nonlinear stochastic systems with time delay. IEEE Trans Neural Netw Learn Syst 24(1):71–80CrossRef
32.
Zhou Q, Wang L, Wu C, Li H, Du H (2017) Adaptive fuzzy control for nonstrict-feedback systems with input saturation and output constraint. IEEE Trans Syst Man Cybern Syst 47(1):1–12CrossRef
Metadaten
Titel
Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints
verfasst von
Wenjie Si
Xunde Dong
Publikationsdatum
01.04.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 9/2018
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0662-z

Weitere Artikel der Ausgabe 9/2018

International Journal of Machine Learning and Cybernetics 9/2018 Zur Ausgabe

Original Article

Hesitant fuzzy linguistic multi-criteria decision making based on possibility theory

Original Article

A hybrid-based method for Chinese domain lightweight ontology construction

Original Article

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition

Original Article

A learning framework for information block search based on probabilistic graphical models and Fisher Kernel

Original Article

A new fuzzy twin support vector machine for pattern classification

Original Article

Neural network observer-based leader-following consensus of heterogenous nonlinear uncertain systems

Neuer Inhalt

    Bildnachweise