Iterative learning control : convergence, robustness, and applications

This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education. Ranging from aerodynamic curve identificat...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Chen, Yangquan, 1966-, Wen, Changyun, 1963- (مؤلف)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: London ; Paris [etc.] : Springer-Verlag London Limited : Springer e-books [20..].
Cham : Springer Nature
سلاسل:Lecture notes in control and information sciences 248
الموضوعات:
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Iterative learning control, convergence, robustness, and applications, Yangquan Chen and Changyun Wen, London, Springer, 1999, 1 vol. (XII-199 p.), Lecture notes in control and information sciences, 1-85233-190-9
• Iterative Learning Control, Texte imprimé, 9781447139652
جدول المحتويات:
  • High-order iterative learning control of uncertain nonlinear systems with state delays
  • High-order P-type iterative learning controller using current iteration tracking error
  • Iterative learning control for uncertain nonlinear discrete-time systems using current iteration tracking error
  • Iterative learning control for uncertain nonlinear discrete-time feedback systems with saturation
  • Initial state learning method for iterative learning control of uncertain time-varying systems
  • High-order terminal iterative learning control with an application to a rapid thermal process for chemical vapor deposition
  • Designing iterative learning controllers via noncausal filtering
  • Practical iterative learning control using weighted local symmetrical double-integral
  • Iterative learning identification with an application to aerodynamic drag coefficient curve extraction problem
  • Iterative learning control of functional neuromuscular stimulation systems
  • Conclusions and future research.