Mathematical Theory of Networks and Systems 2006


 
The following articles were presented at MTNS 2006, Kyoto (Japan):
 


 

Computing Invariants of Multidimensional Linear Systems on an Abstract Homological Level

M. Barakat, D. Robertz

Proceedings of MTNS 2006, Kyoto (Japan)
 
[.pdf]

 

 
Methods from homological algebra Rotman (1979) play a more and more important role in the study of multidimensional linear systems Quadrat (1999), Pommaret (2001), Chyzak et al (2005). The use of modules allows an algebraic treatment of linear systems which is independent of their presentations by systems of equations. The type of linear system (ordinary/partial differential equations, time-delay systems, discrete systems...) is encoded in the (non-commutative) ring of (differential, shift, ...) operators over which the modules are defined. In this framework, homological algebra gives very general information about the structural properties of linear systems.
 
Homological algebra is a natural extension of the theory of modules over rings. The category of modules and their homomorphisms is replaced by the category of chain complexes and their chain maps. A module is represented by any of its resolutions. The module is then recovered as the only non-trivial homology of the resolution. The notions of derived functors and their homologies, connecting homomorphism and the resulting long exact homology sequences play a central role in homological algebra.
 
The Maple package homalg Barakat, Robertz (2006), Barakat, Robertz provides a way to deal with these powerful notions. The package is abstract in the sense that it is independent of any specific ring arithmetic. If one specifies a ring in which one can solve the ideal membership problem and compute syzygies, the above homological algebra constructions over that ring become accessible using homalg.
 
In this paper we introduce the package homalg and present several applications of homalg to the study of multidimensional linear systems using available Maple packages which provide the ring arithmetics, e.g. OreModules Chyzak et al (2004), Chyzak et al and Janet Blinkov et al (2003), Plesken, Robertz (2005).
 
Maple worksheets: See also the Library of Examples.
 


 
 

Using morphism computations for factoring and decomposing general linear functional systems

T. Cluzeau, A. Quadrat

INRIA Report 5942 and Proceedings of MTNS 2006, Kyoto (Japan)
 
[.pdf]
 
see also OreModules subpackage OreMorphisms

 

 
Within a constructive homological algebra approach, we study the factorization and decomposition problems for general linear functional systems and, in particular, for multidimensional linear systems appearing in control theory. Using the concept of Ore algebras of functional operators (e.g., ordinary/partial differential operators, shift operators, time-delay operators), we first concentrate on the computation of morphisms from a finitely presented left module M over an Ore algebra to another one M', where M (resp., M') is a module intrinsically associated with the linear functional system R y=0 (resp., R' z=0). These morphisms define applications sending solutions of the system R' z=0 to the ones of R y=0. We explicitly characterize the kernel, image, cokernel and coimage of a general morphism. We then show that the existence of a non-injective endomorphism of the module M is equivalent to the existence of a non-trivial factorization R=R2 R1 of the system matrix R. The corresponding system can then be integrated in cascade. Under certain conditions, we also show that the system R y=0 is equivalent to a system R' z=0, where R' is a block-triangular matrix. We show that the existence of projectors of the ring of endomorphisms of the module M allows us to reduce the integration of the system R y=0 to the integration of two independent systems R1 y1=0 and R2 y2=0. Furthermore, we prove that, under certain conditions, idempotents provide decompositions of the system R y=0, i.e., they allow us to compute an equivalent system R' z=0, where R' is a block-diagonal matrix. Many applications of these results in mathematical physics and control theory are given. Finally, the different algorithms of the paper are implemented in a package OreMorphisms based on the library OreModules.
 
 


 

Flat multidimensional linear systems with constant coefficients are equivalent to controllable 1-D linear systems

A. Fabiańska, A. Quadrat

Proceedings of MTNS 2006, Kyoto (Japan)
 
[.pdf]

 

 
Based on constructive proofs of the Quillen-Suslin theorem, the purpose of this paper is to show that every flat multidimensional linear system with constant coefficients is equivalent to a controllable 1-D linear system. This result looks like the classical result in non-linear control theory stating that every flat ordinary differential non-linear system is equivalent to a controllable ordinary differential linear system. In particular, we prove that every flat differential time-delay linear system is equivalent to the ordinary differential controllable linear system obtained by setting all the delay amplitudes to 0. This result allows to transfer synthesis problems onto the equivalent ordinary differential linear system without delays, which sometimes simplifies the construction of stabilizing controllers. Finally, using algorithmic versions of the Quillen-Suslin theorem, we give a constructive proof of Pommaret's proof Pommaret (2001) of the Lin-Bose conjecture Lin, Bose (2001) and we show how to compute (weakly) doubly coprime factorizations of rational transfer matrices. All the results are illustrated on explicit examples and the different algorithms have been implemented in OreModules.
 
See also: A package for computing bases of free modules over commutative polynomial rings.
 
 


 

Constructive computation of flat outputs of a class of multidimensional linear systems with variable coefficients

A. Quadrat, D. Robertz

Proceedings of MTNS 2006, Kyoto (Japan)
 
[.pdf]

 

 
The purpose of this paper is to give a constructive algorithm for the computation of bases of finitely presented free modules over the Weyl algebras of differential operators with polynomial or rational coefficients. In particular, we show how to use these results in order to recognize when a multidimensional linear system defined by partial differential equations with polynomial or rational coefficients is flat and, if so, to compute flat outputs and the injective image representations of the system. These new results are based on recent constructive proofs of a famous result in non-commutative algebra due to J. T. Stafford Stafford (1978). The different algorithms have been implemented in the package Stafford based on OreModules. These results allow us to achieve the general solution of the so-called Monge problem for multidimensional linear systems defined by partial differential equations with polynomial or rational coefficients. Finally, we constructively answer an open question posed by Datta (Datta (2001)) on the possibility to generalize the results of Malrait et al (2001) to multi-input multi-output polynomial time-varying controllable linear systems. We show that every controllable ordinary differential linear system with at least two inputs and polynomial coefficients is flat.
 
Maple worksheets: See also the Library of Examples.
 
 


 

On the Monge problem and multidimensional optimal control

A. Quadrat, D. Robertz

Proceedings of MTNS 2006, Kyoto (Japan)
 
[.pdf]

 

 
Using new results on the general Monge parametrization (see Zervos (1932), and the references therein) recently obtained in Quadrat, Robertz (2005), i.e., on the possibility to extend the concept of image representation to non-controllable multidimensional linear systems, we show that we can transform some quadratic variational problems (e.g., optimal control problems) with differential constraints into free variational ones directly solvable by means of the standard Euler-Lagrange equations. This result generalizes for non-controllable multidimensional linear systems the results obtained in Pillai, Willems (2002), Pommaret, Quadrat (2004) for controllable ones. In particular, in the 1-D case, this result allows us to avoid the controllability condition commonly used in the behavioural approach literature for the study of optimal control problems with a finite horizon and replace it by the stabilizability condition for the ones with an infinite horizon.