nach oben

Neural Computing and Applications

Erschienen in:

01.04.2012 | Original Article

Describing function analysis of uncertain fuzzy vehicle control systems

verfasst von: Jau-Woei Perng

Erschienen in: Neural Computing and Applications | Ausgabe 3/2012

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

In this paper, some useful frequency domain methods including describing function, parameter space, and Kharitonov approach are applied to analyze the stability of an uncertain fuzzy vehicle control system for limit cycle prediction. A systematic procedure is proposed to solve this problem. The fuzzy controller can be linearized by the use of classical describing function firstly. By doing so, it is feasible to treat the stability problem of a fuzzy control system as linear one. In order to consider the robustness of a fuzzy vehicle control system, parameter space method and Kharitonov approach are then employed for plotting the stability boundaries. Furthermore, the effect of transport delay is also addressed. More information of limit cycles can be obtained by this approach. This work shows that the limit cycles caused by a static fuzzy controller can be easily suppressed if the system parameters are chosen carefully.

Vorheriger Artikel Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation

Nächster Artikel A neural predictive coding feature extraction scheme in DCT domain for phoneme recognition

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

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

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+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

Gelb A, Velde WEV (1968) Multiple input describing functions and nonlinear system design. McGraw-Hill, New YorkMATH

Siljak DD (1969) Nonlinear systems—the parameter analysis and design. Wiley, New YorkMATH

Atherton DP (1975) Nonlinear control engineering. Van Nostrand Reinhold Company, London

Slotine JJE, Li W (1991) Applied nonlinear control. Prentice Hall Inc., New JerseyMATH

Heyns LJ, Kruger JJ (1994) Describing function-based analysis of a nonlinear hydraulic transmission line. IEEE Trans Control Syst Technol 2(1):31–35CrossRef

Voda AB, Blaha P (2002) Describing function approximation of a two-relay system configuration with application to coulomb friction identification. Control Eng Pract 10:655–668CrossRef

Xu JJ, Lee TH, Pan YJ (2003) On the sliding mode control for DC servo mechanisms in the presence of unmodeled dynamics. Mechatronics 13:755–770CrossRef

Adams MD (1999) High speed target pursuit and asymptotic stability in mobile robotics. IEEE Trans Robot Automat 15(2):230–236CrossRef

Gordillo F, Aracil J, Alamo T (1997) Determining limit cycles in fuzzy control systems. In: Proceedings IEEE international conference on fuzzy systems, pp 193–198

10.

Kim E, Lee H, Park M (2000) Limit-cycle prediction of a fuzzy control system based on describing function method. IEEE Trans Fuzzy Syst 8(1):11–21MathSciNetCrossRef

11.

Gomariz S, Guinjoan F, Idiarte EV, Salamero LM, Poveda A (2000) On the use of the describing function in fuzzy controllers design for switching DC-DC regulators. In: IEEE international symposium on circuits systems, pp 247–250

12.

Delgado A (1998) Stability analysis of neurocontrol systems using a describing function. In: Proceedings of international joint conference on neural network, pp 2126–2130

13.

Delgado A, Warwick K, Kambhampati C (1998) Limit cycles in neurocontrolled minirobots. In: UKACC international conference on control, pp 173–177

14.

Siljak DD (1989) Parameter space methods for robust control design: a guide tour. IEEE Trans Automat Control 34(7):674–688MathSciNetMATHCrossRef

15.

Han KW (1977) Nonlinear control systems—some practical methods. Academic Cultural Company, CaliforniaMATH

16.

Han KW, Thaler GJ (1966) Control system analysis and design using a parameter space method. IEEE Trans Automat Control 11(3):560–563CrossRef

17.

Barmish BR (1994) New tools for robustness of linear systems. Macmillan Publishing Company, New YorkMATH

18.

Hauksdottir AS, Sigurdaraottir G (1993) On the use of robust design methods in vehicle longitudinal controller design. ASME J Dyn Syst Meas Control 115(3):166–172CrossRef

Titel: Describing function analysis of uncertain fuzzy vehicle control systems
verfasst von: Jau-Woei Perng
Publikationsdatum: 01.04.2012
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 3/2012
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-011-0532-7

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

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

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 3/2012

Zhang neural network and its application to Newton iteration for matrix square root estimation

Adaptive radial basis function networks with kernel shape parameters

Artificial neural networks workflow and its application in the petroleum industry

Examination of the reliability of a technical object after its regeneration in a maintenance system with an artificial neural network

Improved adaptive neuro-fuzzy inference system

Characterizations of ordered semigroups in terms of (∈, ∈ ∨ q)-fuzzy interior ideals

Premium Partner