Episodically adapted network-based controllers
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913787603320832 |
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| author | Mallik, Sruti Ching, ShiNung |
| author_facet | Mallik, Sruti Ching, ShiNung |
| contents | We consider the problem of distributing a control policy across a network of interconnected units. Distributing controllers in this way has a number of potential advantages, especially in terms of robustness, as the failure of a single unit can be compensated by the activity of others. However, it is not obvious a priori how such network-based controllers should be constructed for any given system and control objective. Here, we propose a synthesis procedure for obtaining dynamical networks that enact well-defined control policies in a model-free manner. We specifically consider an augmented state space consisting of both the plant state and the network states. Solution of an optimization problem in this augmented state space produces a desired objective and specification of the network dynamics. Because of the analytical tractability of this method, we are able to provide convergence and robustness assessments |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07871 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Episodically adapted network-based controllers Mallik, Sruti Ching, ShiNung Systems and Control We consider the problem of distributing a control policy across a network of interconnected units. Distributing controllers in this way has a number of potential advantages, especially in terms of robustness, as the failure of a single unit can be compensated by the activity of others. However, it is not obvious a priori how such network-based controllers should be constructed for any given system and control objective. Here, we propose a synthesis procedure for obtaining dynamical networks that enact well-defined control policies in a model-free manner. We specifically consider an augmented state space consisting of both the plant state and the network states. Solution of an optimization problem in this augmented state space produces a desired objective and specification of the network dynamics. Because of the analytical tractability of this method, we are able to provide convergence and robustness assessments |
| title | Episodically adapted network-based controllers |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2504.07871 |