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INRIA, Institut National de Recherche en Informatique et en Automatique

INRIA, Institut National de Recherche en Informatique et en Automatique

Organized by Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt (DFVLR)

Working Conference on Stochastic Programming held in Gargnano (Italy), September 15-21, 1983

The volume contains new research papers (some of which are of a tutorial nature) on theory and computational methods, oscillatory control, deterministic control of uncertain systems, nonlinear perturbed optimal control, and on control of systems with distributed parameters.

The Fifth IFIP Working Conference on Stochastic Differential Systems continues the traditional line of previous conferences in Kyoto (1976), Vilnjus (1978), Visegrad (1980), and Marseille-Luminy (1984) and focuses on topics of present research in the field of stochastic differential systems.

Conference on Control Problems for Systems Described by Partial Differential Equations and Applications

This book is a research monograph describing results obtained by the author and his co-workers of the last two years.

Precise definitions of well known and new stability properties are given by the authors who present general results on the Liapunov stability properties of non-stationary systems which are out of the classical stability theory framework.

This volume comprises the proceedings of the "3rd International Conference on Distributed Parameter Systems" held at the Chorherrenstift Vorau (Styria), July 6-12, 1986.

This volume comprises the proceedings of the Working Conference "Boundary variations and boundary control" held in Nice (France), June 10-13, 1986.

The papers demonstrate that there is a large common core underlying these efforts, that researchers in one area can benefit from advances in other areas of discrete systems, and that it is not difficult to translate results expressed in one discrete event formation into another.

This monograph provides a sample of relevant new results on dynamical nonlinear statistical modeling and estimation which forms a basis for more effective signal processing, decision and control.

The monograph contains sections reviewing ideas from classical control theory that are extended to multivariable systems, a summary of work we have done on design limitation in scalar systems, and a review of some previous work on extending classical ideas to a multivariable setting.