SYSYApr 7, 2017

LTI Stochastic Processes: a Behavioral Perspective

arXiv:1704.021545 citationsh-index: 57
AI Analysis

For researchers in systems and control theory, this provides a foundational reinterpretation of stochastic processes, but the results are theoretical and incremental.

The paper reformulates LTI stochastic processes using a behavioral framework, deriving a canonical representation and a physically grounded notion of interconnection. It then analyzes invariance properties of distances between spectral densities.

This paper revisits the definition of linear time-invariant (LTI) stochastic process within a behavioral systems framework. Building on [Willems, 2013], we derive a canonical representation of an LTI stochastic process and a physically grounded notion of interconnection between independent stochastic processes. We use this framework to analyze the invariance properties enjoyed by distances between spectral densities of LTI processes.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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