15 research outputs found
Some control observation problems and their differential algebraic partial solutions
International audienceObservation problems in control systems literature generally refer to problems of estimation of state variables (or identification of model parameters) from two sources of information: dynamic models of systems consisting in first order differential equations relating all system quantities, and online measurements of some of these quantities. For nonlinear systems the classical approach stems from the work of R. E. Kalman on the distinguishability of state space points given the knowledge of time histories of the output and input. In the differential algebraic approach observability is rather viewed as the ability to recover trajectories. This approach turns out to be a particularly suitable language to describe observability and related questions as structural properties of control systems. The present paper is an update on the latter approach initiated in the late eighties and early nineties by J. F. Pommaret, M. Fliess, S. T. Glad and the author
Some control observation problems and their differential algebraic partial solutions
International audienc
On the Relation between Pommaret and Janet Bases
In this paper the relation between Pommaret and Janet bases of polynomial
ideals is studied. It is proved that if an ideal has a finite Pommaret basis
then the latter is a minimal Janet basis. An improved version of the related
algorithm for computation of Janet bases, initially designed by Zharkov, is
described. For an ideal with a finite Pommaret basis, the algorithm computes
this basis. Otherwise, the algorithm computes a Janet basis which need not be
minimal. The obtained results are generalized to linear differential ideals.Comment: 15 pages. LaTeX, uses the Springer file lncse.cls. Submitted to
CASC'2000, the Third International Workshop on Computer Algebra in Scientific
Computing, October 5-9, Samarkand, Uzbekista
Arbitrariness Of The General Solution And Symmetries
. The computation of the number of arbitrary functions in the general solution is briefly reviewed. The results are used to study normal systems and their symmetry reduction. We discuss the treatment of gauge systems, especially the analysis of gauge fixing conditions. As examples the Yang-Mills equations with the Lorentz gauge and Einstein's vacuum field equations with harmonic coordinates are considered. 1. Introduction If one can not determine the general solution of an equation, as it is usually the case with differential equations, one wants to know at least the dimension of the solution space. This is, however, not trivial for systems, especially if they are overdetermined. It turns out, that involution [10] provides the key. We showed in a recent paper [13], how to compute the number of arbitrary functions and their arity for closed representations of the general solution of an involutive system. The purpose of this paper is to provide more applications of these results. Normal..
Algorithmic Methods for Lie Pseudogroups
this paper, we will present such an algorithm and its implementation in the computer algebra system AXIOM
Constrained Hamiltonian Systems and Gröbner Bases
In this paper we consider finite-dimensional constrained Hamiltonian systems of polynomial type. In order to compute the complete set of constraints and separate them into the first and second classes we apply the modern algorithmic methods of commutative algebra based on the use of Gröbner bases. As it is shown, this makes the classical Dirac method fully algorithmic. The underlying algorithm implemented in Maple is presented and some illustrative examples are given