From Controllability to Information: A Unified Analysis via Gramian, Minimum Energy, Fisher Information Matrix and Entropy

TL;DR

This paper establishes a comprehensive framework linking controllability, control energy, information, and entropy in linear systems, using the damped harmonic oscillator as a case study to derive key matrices and explore their interrelations.

Contribution

It provides a unified analytical approach connecting controllability, Fisher information, and entropy, revealing dualities and fundamental principles in dynamical system control.

Findings

Derived the Controllability Gramian and its determinant for damping regimes

Linked control energy to system parameters and physical interpretations

Explored duality between control and information measures

Abstract

This article explores the connections between controllability, control energy, information, and entropy in the context of linear dynamical systems, using the damped harmonic oscillator as a case study. We analytically derive the Controllability Gramian Matrix (Wc) and its determinant (det(Wc)) for different damping regimes. We analyze the physical interpretation of det(Wc) in terms of minimum control energy, highlighting the influence of system parameters (damping {\zeta} and natural frequency {\omega}n). We investigate the conceptual and formal relationships between the Gramian, the Fisher Information Matrix (I), and Shannon (H) and thermodynamic (S) entropies, suggesting a duality between energetic control and estimation precision, as well as a link between ease of control and informational/thermodynamic entropy. The unified analysis offers insights into the fundamental principles governing the control of dynamical systems, integrating energy and information perspectives.