On information transfer in discrete dynamical systems
In this paper, we propose a new definition of information transfer in a discrete dynamical
system. The information transfer is based on how much entropy (uncertainty) is transferred …
system. The information transfer is based on how much entropy (uncertainty) is transferred …
Causality preserving information transfer measure for control dynamical system
In this paper, we show through examples, how the existing definitions of information transfer,
namely directed information and transfer entropy fail to capture true causal interaction …
namely directed information and transfer entropy fail to capture true causal interaction …
On information transfer-based characterization of power system stability
In this paper, we present a novel approach to identify the generators and states responsible
for the small-signal stability of power networks. To this end, the newly developed notion of …
for the small-signal stability of power networks. To this end, the newly developed notion of …
Identifying causal interaction in power system: Information-based approach
Stability analysis of power system is a problem of immense importance in power community.
Identification of the cause for instability is a relevant problem and has been studied widely …
Identification of the cause for instability is a relevant problem and has been studied widely …
Data-driven influence based clustering of dynamical systems
S Sinha - 2022 European Control Conference (ECC), 2022 - ieeexplore.ieee.org
Community detection is a challenging and relevant problem in various disciplines of science
and engineering like power systems, gene-regulatory networks, social networks etc …
and engineering like power systems, gene-regulatory networks, social networks etc …
On information transfer in dynamical systems with applications in control of non-equilibrium dynamics
In this paper, we develop the concept of information transfer between the Borel-measurable
sets for a dynamical system described by a measurable space and a non-singular …
sets for a dynamical system described by a measurable space and a non-singular …
An analysis of information dynamic behavior using autoregressive models
A Oliveira, AD Dória Neto, A Martins - Entropy, 2017 - mdpi.com
Information Theory is a branch of mathematics, more specifically probability theory, that
studies information quantification. Recently, several researches have been successful with …
studies information quantification. Recently, several researches have been successful with …
Information state: A representation for dynamic processes using information theory
AG de Oliveira, A de Medeiros Martins… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Information theory (IT) is a branch of mathematics that studies information quantification. By
means of the techniques of information theoretic learning (ITL), we can estimate measures …
means of the techniques of information theoretic learning (ITL), we can estimate measures …
Information transfer in dynamical systems and optimal placement of actuators and sensors for control of non-equilibrium dynamics
In this paper we develop the concept of information transfer between the Borel-measurable
sets for a dynamical system described by a measurable space and a non-singular …
sets for a dynamical system described by a measurable space and a non-singular …
Information based data-driven characterization of stability and influence in power systems
Stability analysis of a power network and its characterization (voltage or angle) is an
important problem in the power system community. However, these problems are mostly …
important problem in the power system community. However, these problems are mostly …