Publications related to Modeling Compositions of Impedance-based Primitives via Dynamical Systems.

Dynamical system for learning the waveform and frequency of periodic signals - application to drumming

The paper presents a two-layered system for learning and encoding a periodic signal and its application to a drumming task. The two layers are the dynamical system responsible for extracting the main frequency of the input signal, based on adaptive frequen ...

2008

Singularly perturbed piecewise deterministic games

Alain Haurie

In this paper we consider a class of hybrid stochastic games with the piecewise open-loop information structure. These games are indexed over a parameter

\varepsilon

which represents the time scale ratio between the stochastic (jump process) and the dete ...

Society for Industrial and Applied Mathematics2008

Adaptive Fine-Tuning for Large-Scale Complex Nonlinear Systems

Practical large-scale nonlinear control systems (PLSNCS) require an intensive and time-consuming fine-tuning process in order to achieve a satisfactory - or, even, acceptable - performance. In the majority of PLSNCS the fine-tuning process is performed by ...

IEEE2008

Dynamic simulation of regulatory networks using SQUAD

Giovanni De Micheli, Abhishek Garg, Ioannis Xenarios

Background The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible t ...

2007

Uncovering the topology of configuration space networks

Paolo De Los Rios, David Gfeller, David Sébastien Morton de Lachapelle

The configuration space network (CSN) of a dynamical system is an effective approach to represent the ensemble of configurations sampled during a simulation and their dynamic connectivity. To elucidate the connection between the CSN topology and the underl ...

2007

Engineering limit cycle systems

Jonas Buchli

In this thesis, we present a dynamical systems approach to adaptive controllers for locomotion control. The approach is based on a rigorous mathematical framework using nonlinear dynamical systems and is inspired by theories of self-organization. Nonlinear ...

EPFL2007

Generalization of the RIN Result to Heterogeneous Networks of Aggregate Schedulers and Leaky Bucket Constrained Flows

Jean-Yves Le Boudec, Gianluca Rizzo

We consider networks of FIFO aggregate schedulers. Quite surprisingly, the natural condition (node utilization inferior to one) in general is not sufficient in these networks to ensure stability (boundedness of delay and backlog at each node). Deriving goo ...

2007

Generalization of the RIN result to heterogeneous networks of aggregate schedulers and leaky bucket constrained flows

Jean-Yves Le Boudec, Gianluca Rizzo

We consider networks of FIFO aggregate schedulers. Quite surprisingly, the natural condition (node utilization inferior to one) in general is not sufficient in these networks to ensure stability (boundedness of delay and backlog at each node). Deriving goo ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Linking Policy Research and Practice in 'STIG Systems': Many Obstacles, but Some Ways Forward

Dominique Foray

This paper reflects on the relevance of "systems-theoretic" approaches to the interdependent policy issues bearing on the dynamics of science, technology and innovation in their relationship to economic growth. Considering the approach that characterizes m ...

2007

Finding the distance to instability of a large sparse matrix

Daniel Kressner

The distance to instability of a matrix A is a robust measure for the stability of the corresponding dynamical system x = Ax, known to be far more reliable than checking the eigenvalues of A. In this paper, a new algorithm for computing such a distance is ...

IEEE2006

Modeling Compositions of Impedance-based Primitives via Dynamical Systems.

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Dynamical system for learning the waveform and frequency of periodic signals - application to drumming

Singularly perturbed piecewise deterministic games

Adaptive Fine-Tuning for Large-Scale Complex Nonlinear Systems

Dynamic simulation of regulatory networks using SQUAD

Uncovering the topology of configuration space networks

Engineering limit cycle systems

Generalization of the RIN Result to Heterogeneous Networks of Aggregate Schedulers and Leaky Bucket Constrained Flows

Generalization of the RIN result to heterogeneous networks of aggregate schedulers and leaky bucket constrained flows

Linking Policy Research and Practice in 'STIG Systems': Many Obstacles, but Some Ways Forward

Finding the distance to instability of a large sparse matrix

Dynamic simulation of regulatory networks using SQUAD

Generalization of the RIN Result to Heterogeneous Networks of Aggregate Schedulers and Leaky Bucket Constrained Flows

Generalization of the RIN result to heterogeneous networks of aggregate schedulers and leaky bucket constrained flows

Dynamical system for learning the waveform and frequency of periodic signals - application to drumming

Singularly perturbed piecewise deterministic games

Adaptive Fine-Tuning for Large-Scale Complex Nonlinear Systems

Uncovering the topology of configuration space networks

Engineering limit cycle systems

Finding the distance to instability of a large sparse matrix

Linking Policy Research and Practice in 'STIG Systems': Many Obstacles, but Some Ways Forward