Table of contents

  1. Front Matter
  2. Bálint Kiss, Jean Lévine, Philippe Mullhaupt
    Pages 1-12
  3. François Malrait, Philippe Martin, Pierre Rouchon
    Pages 55-62
  4. Nicolas Marchand, Mazen Alamir, Iyad Balloul
    Pages 81-93
  5. Lorenzo Marconi, Alberto Isidori
    Pages 95-106
  6. Riccardo Marino, Gilney Damm, Françoise Lamnabhi-Lagarrigue
    Pages 107-121
  7. Riccardo Marino, Giovanni L. Santosuosso
    Pages 123-135
  8. Bernhard M. Maschke, Arjan van der Schaft
    Pages 137-142
  9. Raúl J. Mondragón C, David K. Arrowsmith, Jonathan Pitts
    Pages 149-161
  10. Gérard Montseny, Jacques Audounet, Denis Matignon
    Pages 163-182
  11. Ewa Pawłuszewicz, Zbigniew Bartosiewicz
    Pages 183-191
  12. Nicolas Petit, Pierre Rouchon
    Pages 229-236
  13. Nicolas Petit, Pierre Rouchon, Jean-Michel Boueilh, Frédéric Guérin, Philippe Pinvidic
    Pages 237-243

About these proceedings


Control of nonlinear systems, one of the most active research areas in control theory, has always been a domain of natural convergence of research interests in applied mathematics and control engineering. The theory has developed from the early phase of its history, when the basic tool was essentially only the Lyapunov second method, to the present day, where the mathematics ranges from differential geometry, calculus of variations, ordinary and partial differential equations, functional analysis, abstract algebra and stochastic processes, while the applications to advanced engineering design span a wide variety of topics, which include nonlinear controllability and observability, optimal control, state estimation, stability and stabilization, feedback equivalence, motion planning, noninteracting control, disturbance attenuation, asymptotic tracking. The reader will find in the book methods and results which cover a wide variety of problems: starting from pure mathematics (like recent fundamental results on (non)analycity of small balls and the distance function), through its applications to all just mentioned topics of nonlinear control, up to industrial applications of nonlinear control algorithms.


Algebra Tracking algorithm algorithms control control engineering control theory feedback geometry motion planning nonlinear control nonlinear system optimal control stability stabilization

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag 2001
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-85233-364-5
  • Online ISBN 978-1-84628-569-1
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book