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March 17, 2026Transactions of the Institute of Systems Control and Information Engineers0 citationsOpen Access

Distributed Learning for Decentralized Dynamic Output Feedback Controller Design

KNKotaro NakagiriTSTomonori Sadamoto

Key Points

  • This research aims to create a scalable distributed learning algorithm for designing decentralized dynamic output feedback controllers in networked systems.
  • Developed a distributed learning algorithm for decentralized control
  • Applied it to partially observable networked systems
  • Conducted numerical simulations using HVAC systems
  • The algorithm proved scalable for a large number of subsystems
  • Demonstrated effective control performance under process and observation noise
  • Showed promising results in HVAC system simulations

Abstract

This paper proposes a distributed learning algorithm for designing decentralized dynamic output feedback controllers for partially observable networked systems affected by process and observation noise. This algorithm is scalable for the number of subsystems, making it applicable to large-scale networked systems. The effectiveness of the proposed algorithm is shown through a numerical simulation of Heating Ventilation and Air Conditioning (HVAC) systems.

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Cite This Study

Nakagiri et al. (2025) studied this question.

synapsesocial.com/papers/69b8ef12deb47d591b8c52a3https://doi.org/10.5687/iscie.38.253
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Output feedback distributed economic model predictive control for parallel system in process networks2024
  2. 2Fully distributed adaptive fuzzy consensus control for a class of heterogeneous nonlinear output feedback systems2024 · 1 citations
  3. 3Output-Feedback-Based Adaptive Leaderless Consensus for Heterogenous Nonlinear Multiagent Systems With Switching Topologies2024
  4. 4Online Feedback Optimization over Networks: A Distributed Model-free Approach2024
  5. 5An Adaptive Distributed Optimal Control Design for Nonlinear Continuous Leader–Follower Systems With Unknown Dynamics2026