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arxiv: 2604.21529 · v1 · submitted 2026-04-23 · 💻 cs.MA · cs.AI

Architectures for Robust Self-Organizing Energy Systems under Information and Control Constraints

Emilie Frost , Astrid Nie{\ss}e This is my paper

Pith reviewed 2026-05-08 13:32 UTC · model grok-4.3

classification 💻 cs.MA cs.AI
keywords observer/controller architecturecontrolled self-organizationcyber-physical energy systemsinformation constraintscontrol constraintsrobustnessagent-based systemscyber attacks
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The pith

Observer/controller architecture variants adapted to information and control limits enable robust controlled self-organization in agent-based energy systems.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper proposes that introducing an observer/controller architecture into agent-based cyber-physical energy systems allows self-organization while permitting intervention during disturbances such as cyber attacks. It develops specific variants of these architectures that respect restrictions on information access stemming from privacy of distributed resources and regulatory constraints on data exchange and actions. The evaluation of controller actions across these variants demonstrates that accounting for such constraints is essential to achieve robustness suitable for practical deployment in real energy systems.

Core claim

By presenting architecture variants for the observer and controller that incorporate restrictions on access to information and limited actions, the work establishes that controlled self-organization remains feasible in CPES even under privacy, regulatory, and data exchange constraints, thereby supporting system robustness against threats like cyber attacks.

What carries the argument

Observer/controller architecture variants designed to operate under information access restrictions and limited control actions in distributed energy systems.

If this is right

  • Agent-based CPES can maintain self-organizing behavior while retaining the capacity for external intervention when required.
  • Privacy of local energy resources and regulatory limits can be accommodated without sacrificing overall system robustness.
  • Evaluation of possible controller actions reveals viable options within each architecture variant for responding to disturbances.
  • Different architecture choices offer distinct trade-offs in monitoring capability and intervention power.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Similar architecture adaptations could prove useful in other domains with distributed agents facing information and control constraints, such as transportation networks.
  • Practical testing in simulated environments that model specific regulatory restrictions would help validate the architectures' effectiveness.

Load-bearing premise

The architecture variants can be implemented in actual energy systems in a way that still allows effective intervention under the given information and control restrictions.

What would settle it

A demonstration in a simulated or real CPES where one of the proposed architecture variants fails to detect a cyber attack or cannot execute a necessary corrective action due to the imposed information or control limits.

Figures

Figures reproduced from arXiv: 2604.21529 by Astrid Nie{\ss}e, Emilie Frost.

Figure 1
Figure 1. Figure 1: Architectures for anomaly detection in agent systems (presented in [11]) view at source ↗
Figure 2
Figure 2. Figure 2: Proposed multi-leveled observer architecture (presented in [11]) view at source ↗
Figure 3
Figure 3. Figure 3: Reaction to the malicious agent: the centralized controller sends a new view at source ↗
Figure 4
Figure 4. Figure 4: Reaction to the malicious agent: the decentralized controller informs its view at source ↗
Figure 5
Figure 5. Figure 5: Reaction to the malicious agent: multi-leveled controller. view at source ↗
Figure 6
Figure 6. Figure 6: Centralized controller: convergence speed (optimization duration) for nor view at source ↗
Figure 7
Figure 7. Figure 7: Centralized controller: solution quality (performance) for normal opera view at source ↗
Figure 8
Figure 8. Figure 8: Centralized controller: number of exchanged messages for normal opera view at source ↗
Figure 9
Figure 9. Figure 9: Decentralized controller: convergence speed (optimization duration) for view at source ↗
Figure 10
Figure 10. Figure 10: Decentralized controller: solution quality (performance) for normal op view at source ↗
Figure 11
Figure 11. Figure 11: Decentralized controller: number of exchanged messages for normal op view at source ↗
read the original abstract

Applying the concept of controlled self-organization in agent-based Cyber-Physical Energy Systems (CPES) is a promising approach to ensure system robustness. By introducing an observer/controller architecture to the system, this concept allows for self-organization while still enabling intervention when disturbances occur. Thus, it is possible to respond to effects of cyber attacks, a major threat to current energy systems. However, when implementing an observer to monitor the system and a controller to execute actions for controlled self-organization in CPES, it is essential to take into account restrictions on information and actions resulting from the privacy of local distributed energy resources, regulatory constraints, and data exchange requirements. For this reason, this paper presents architecture variants for the observer and controller that take into account restrictions on access to information and limited actions. In addition, it evaluates possible controller actions in various architectures. The results underscore the importance of considering observer/controller architectures when designing agent-based systems to ensure their robustness for real-world applications.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper proposes variants of observer/controller architectures for agent-based Cyber-Physical Energy Systems (CPES) designed to respect constraints on information access and control actions stemming from privacy of distributed energy resources, regulatory limits, and data-exchange rules. These variants aim to support controlled self-organization while still permitting timely intervention against disturbances such as cyber attacks. The manuscript describes the architectures, evaluates possible controller actions under the restrictions, and concludes that such architectures are important for ensuring robustness in real-world applications.

Significance. If the architectures can be shown to preserve effective intervention, the work would offer practical design guidance for balancing decentralized self-organization with supervisory control in energy systems, addressing a key tension in multi-agent CPES under realistic constraints.

major comments (1)
  1. [Evaluation of controller actions] The central claim that the proposed architectures enable controlled self-organization and timely intervention under information and control restrictions is load-bearing for the robustness conclusion, yet the evaluation of controller actions provides only descriptive enumeration of possible actions without simulation results, reachability analysis, performance metrics, or other quantitative evidence that intervention capability is preserved rather than nullified by the restrictions (see the section on evaluation of controller actions).
minor comments (2)
  1. [Abstract] The abstract could more explicitly state that the contribution is conceptual and that no empirical or formal validation of intervention effectiveness is included.
  2. Notation for the observer and controller components and their interfaces could be introduced earlier and used consistently to improve readability of the architecture variants.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback and positive assessment of the paper's significance. We address the single major comment below and will revise the manuscript to strengthen the evaluation section.

read point-by-point responses

  1. Referee: The central claim that the proposed architectures enable controlled self-organization and timely intervention under information and control restrictions is load-bearing for the robustness conclusion, yet the evaluation of controller actions provides only descriptive enumeration of possible actions without simulation results, reachability analysis, performance metrics, or other quantitative evidence that intervention capability is preserved rather than nullified by the restrictions (see the section on evaluation of controller actions).

    Authors: We agree that the evaluation section currently offers a qualitative enumeration of feasible controller actions under each architecture variant, showing that certain supervisory interventions remain available despite privacy, regulatory, and data-exchange constraints. This descriptive analysis supports the claim that the architectures preserve the possibility of timely intervention rather than nullifying it entirely. However, we acknowledge that the absence of quantitative evidence such as simulations, reachability analysis, or performance metrics leaves the central claim less strongly substantiated than it could be. In the revised manuscript, we will add simulation results that quantify intervention effectiveness, including metrics on response latency and robustness under the constrained architectures. revision: yes

Circularity Check

0 steps flagged

No significant circularity; conceptual presentation without derivations or self-referential reductions

full rationale

The paper presents observer/controller architecture variants for agent-based CPES that respect privacy, regulatory, and data-exchange restrictions on information and actions, then evaluates possible controller actions under those constraints. No equations, mathematical derivations, fitted parameters, or predictive reductions appear in the text. The central claim—that such architectures are important for real-world robustness—rests on the descriptive design of variants that satisfy the stated limits while still permitting intervention, without any step that equates outputs to inputs by construction, renames known results, or relies on load-bearing self-citations whose validity is assumed rather than independently verified. The argument is self-contained as a conceptual framing exercise and does not reduce to tautology.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The paper rests on domain assumptions about the benefits of controlled self-organization and the necessity of respecting privacy and regulatory constraints; no free parameters or invented entities are introduced.

axioms (2)
  • domain assumption Controlled self-organization via observer/controller architecture enhances robustness in CPES against disturbances such as cyber attacks.
    Stated as a promising approach in the abstract.
  • domain assumption Restrictions on information access and control actions must be incorporated due to privacy of distributed energy resources and regulatory requirements.
    Described as essential when implementing observer and controller.

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Reference graph

Works this paper leans on

29 extracted references · 29 canonical work pages

  1. [1]

    IEEE Trans- actions on Industrial Informatics16(6), 3881–3894 (2019)

    Bidram, A., Poudel, B., Damodaran, L., Fierro, R., Guerrero, J.M.: Resilient and cybersecure distributed control of inverter-based islanded microgrids. IEEE Trans- actions on Industrial Informatics16(6), 3881–3894 (2019)

    work page 2019

  2. [2]

    IEEE Access8, 44219–44227 (2020).https: //doi.org/10.1109/ACCESS.2020.2977423

    Cao, L., Jiang, X., Zhao, Y., Wang, S., You, D., Xu, X.: A survey of network attacks on cyber-physical systems. IEEE Access8, 44219–44227 (2020).https: //doi.org/10.1109/ACCESS.2020.2977423

    work page doi:10.1109/access.2020.2977423 2020

  3. [3]

    International Journal of Computer Information Systems and In- dustrial Management Applications6, 571–581 (2014)

    Chaaban, J.: A methodology for designing robust central/self-organising multi- agent systems. International Journal of Computer Information Systems and In- dustrial Management Applications6, 571–581 (2014)

    work page 2014

  4. [4]

    International Conference on Advanced Cognitive Technologies & Applications (2013).https://doi.org/10

    Chaaban, Y., Müller-Schloer, C., Hähner, J.: Robustmas: Measuring robustness in hybrid central/self-organising multi-agent systems. International Conference on Advanced Cognitive Technologies & Applications (2013).https://doi.org/10. 5220/0002761003410346

    work page 2013

  5. [5]

    Chemical Engineering Research and Design165, 25–39 (2021)

    Chen, S., Wu, Z., Christofides, P.D.: Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes. Chemical Engineering Research and Design165, 25–39 (2021)

    work page 2021

  6. [6]

    Energies 10(5), 620 (2017)

    Dehghanpour, K., Colson, C., Nehrir, H.: A survey on smart agent-based micro- grids for resilient/self-healing grids. Energies 10(5), 620 (2017). https://doi. org/https://doi.org/10.3390/en10050620

    work page doi:10.3390/en10050620 2017

  7. [7]

    In: 2016 IEEE international conference on smart grid commu- nications (SmartGridComm)

    Dorsch, N., Kurtz, F., Dalhues, S., Robitzky, L., Häger, U., Wietfeld, C.: Inter- twined: Software-defined communication networks for multi-agent system-based smart grid control. In: 2016 IEEE international conference on smart grid commu- nications (SmartGridComm). pp. 254–259. IEEE (2016) Architectures for Robust Self-Organizing Energy Systems 17

    work page 2016

  8. [8]

    Information Fusion 67, 64–79 (2021)

    Erhan, L., Ndubuaku, M., Di Mauro, M., Song, W., Chen, M., Fortino, G., Bagdasar, O., Liotta, A.: Smart anomaly detection in sensor sys- tems: A multi-perspective review. Information Fusion 67, 64–79 (2021). https://doi.org/https://doi.org/10.1016/j.inffus.2020.10.001, https:// www.sciencedirect.com/science/article/pii/S1566253520303717

    work page doi:10.1016/j.inffus.2020.10.001 2021

  9. [9]

    In: ICAART (3)

    Frost, E., Heiken, J.C., Tröschel, M., Nieße, A.: Detecting and analyzing agent communication anomalies in distributed energy system control. In: ICAART (3). pp. 625–632 (2024)

    work page 2024

  10. [10]

    In: 5th International Conference on Com- munications, Information, Electronic and Energy Systems (CIEES)

    Frost, E., Nieße, A.: Communication incidents in self-organising cyber-physical energy systems: Assessing robustness. In: 5th International Conference on Com- munications, Information, Electronic and Energy Systems (CIEES). pp. 1–6 (2024)

    work page 2024

  11. [11]

    In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART

    Frost, E., Nieße, A.: The role of architectures and information availability for anomaly detection in cyber-physical energy systems. In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART. pp. 671–678. INSTICC, SciTePress (2025).https://doi.org/10.5220/ 0013371400003890

    work page 2025

  12. [12]

    Hashmi, S.S., Dam, H.K., Colman, A., Uzunov, A.V., Vo, Q.B., Chhetri, M.B., Dorevski, J.: Coordinated self-exploration for self-adaptive systems in contested environments

    work page

  13. [13]

    IEEE Transactions on Industrial Informatics18(2), 880–890 (2021)

    Huang, B., Li, Y., Zhan, F., Sun, Q., Zhang, H.: A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks. IEEE Transactions on Industrial Informatics18(2), 880–890 (2021)

    work page 2021

  14. [14]

    IEEE Systems, Man, and Cybernetics Magazine 7(2), 35–60 (2021)

    Kordestani, M., Saif, M.: Observer-based attack detection and mitigation for cy- berphysical systems: A review. IEEE Systems, Man, and Cybernetics Magazine 7(2), 35–60 (2021)

    work page 2021

  15. [15]

    In: ETG Congress 2023

    Krueger, C., Otte, M., Holly, S., Rathjen, S., Wellssow, A., Lehnhoff, S.: Redis- patch 3.0–congestion management for german power grids–considering controllable resources in low-voltage grids. In: ETG Congress 2023. pp. 1–7. VDE (2023)

    work page 2023

  16. [16]

    IEEE Transactions on Control of Network Systems 10(1), 333–344 (2022)

    Liang, C., Guo, L., Zocca, A., Low, S., Wierman, A.: Adaptive network response to line failures in power systems. IEEE Transactions on Control of Network Systems 10(1), 333–344 (2022)

    work page 2022

  17. [17]

    IEEE Transactions on Systems, Man, and Cybernetics: Systems49(8), 1554–1569 (2019).https://doi

    Peng, C., Sun, H., Yang, M., Wang, Y.L.: A survey on security communication and control for smart grids under malicious cyber attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems49(8), 1554–1569 (2019).https://doi. org/10.1109/TSMC.2018.2884952

    work page doi:10.1109/tsmc.2018.2884952 2019

  18. [18]

    In: 2023 IEEE Sym- posium Series on Computational Intelligence (SSCI)

    Radtke, M., Stucke, C., Trauernicht, M., Montag, C., Oest, F., Frost, E., Bre- mer, J., Lehnhoff, S.: Integrating agent-based control for normal operation in in- terconnected power and communication systems simulation. In: 2023 IEEE Sym- posium Series on Computational Intelligence (SSCI). pp. 228–233. IEEE (2023). https://doi.org/10.1109/SSCI52147.2023.10371932

    work page doi:10.1109/ssci52147.2023.10371932 2023

  19. [19]

    Building Services Engineering Research and Technology42(1), 62–81 (2021)

    Ren, Y., Yu, J., Zhao, A., Jing, W., Ran, T., Yang, X.: A multi-objective operation strategy optimization for ice storage systems based on decentralized control struc- ture. Building Services Engineering Research and Technology42(1), 62–81 (2021). https://doi.org/10.1177/0143624420966259

    work page doi:10.1177/0143624420966259 2021

  20. [20]

    INFORMATIK 2006–Informatik für Menschen, Band 1 pp

    Richter, U., Mnif, M., Branke, J., Müller-Schloer, C., Schmeck, H.: Towards a generic observer/controller architecture for organic computing. INFORMATIK 2006–Informatik für Menschen, Band 1 pp. 112–119 (2006)

    work page 2006

  21. [21]

    IEEE Transactions on Power Electronics36(1), 73–77 (2020) 18 Frost et al

    Sahoo, S., Yang, Y., Blaabjerg, F.: Resilient synchronization strategy for ac micro- grids under cyber attacks. IEEE Transactions on Power Electronics36(1), 73–77 (2020) 18 Frost et al

    work page 2020

  22. [22]

    Chaos, Solitons & Frac- tals 186, 115288 (2024)

    Sharafian, A., Ullah, I., Singh, S.K., Ali, A., Khan, H., Bai, X.: Adaptive fuzzy backstepping secure control for incommensurate fractional order cyber–physical power systems under intermittent denial of service attacks. Chaos, Solitons & Frac- tals 186, 115288 (2024)

    work page 2024

  23. [23]

    IEEE Systems Journal14(4), 5329– 5339 (2020)

    Tan, S., Guerrero, J.M., Xie, P., Han, R., Vasquez, J.C.: Brief survey on attack detection methods for cyber-physical systems. IEEE Systems Journal14(4), 5329– 5339 (2020)

    work page 2020

  24. [24]

    Organic computing—a paradigm shift for complex systems pp

    Tomforde, S., Prothmann, H., Branke, J., Hähner, J., Mnif, M., Müller-Schloer, C., Richter, U., Schmeck, H.: Observation and control of organic systems. Organic computing—a paradigm shift for complex systems pp. 325–338 (2011)

    work page 2011

  25. [25]

    Computing 103(4), 535–557 (2021).https://doi.org/https://doi.org/ 10.1007/s00607-020-00861-2

    Vistbakka, I., Troubitsyna, E.: Modelling resilient collaborative multi-agent sys- tems. Computing 103(4), 535–557 (2021).https://doi.org/https://doi.org/ 10.1007/s00607-020-00861-2

    work page doi:10.1007/s00607-020-00861-2 2021

  26. [26]

    Anomaly transformer: Time series anomaly detection with association discrepancy

    Xu, J.: Anomaly transformer: Time series anomaly detection with association dis- crepancy. arXiv preprint arXiv:2110.02642 (2021)

    work page arXiv 2021

  27. [27]

    In: Journal of Physics: Conference Series

    Zhang, D., Zhang, C.: A ndo based attack detection observer and isolation strategy in distributed dc microgrid with fdia. In: Journal of Physics: Conference Series. vol. 1754, p. 012011. IOP Publishing (2021)

    work page 2021

  28. [28]

    IEEE Systems Journal (2023)

    Zografopoulos, I., Hatziargyriou, N.D., Konstantinou, C.: Distributed energy re- sources cybersecurity outlook: Vulnerabilities, attacks, impacts, and mitigations. IEEE Systems Journal (2023)

    work page 2023

  29. [29]

    In: 2022 IEEE International Conference on Communi- cations,Control,andComputingTechnologiesforSmartGrids(SmartGridComm)

    Zografopoulos, I., Karamichailidis, P., Procopiou, A.T., Teng, F., Konstantopou- los, G.C., Konstantinou, C.: Mitigation of cyberattacks through battery storage for stable microgrid operation. In: 2022 IEEE International Conference on Communi- cations,Control,andComputingTechnologiesforSmartGrids(SmartGridComm). pp. 238–244. IEEE (2022)

    work page 2022