Stabilization Theory for Active Multi Port Networks
Mayuresh Bakshi, Virendra Sule, Maryam Shoejai Baghini

TL;DR
This paper develops a stabilization theory for active multi-port networks, enabling stable interconnections without relying on complex feedback signal flow graphs, thus facilitating the design of stable interconnected active networks.
Contribution
It introduces a direct port connection-based stabilization theory for active multi-port networks, avoiding the need for signal flow graph formulations and enabling all stabilizing port compensations.
Findings
Provides a stable port interconnection framework.
Results in an affine parametrized network function.
Enables design of all stabilizing port compensations.
Abstract
This paper proposes a theory for designing stable interconnection of linear active multi-port networks at the ports. Such interconnections can lead to unstable networks even if the original networks are stable with respect to bounded port excitations. Hence such a theory is necessary for realising interconnections of active multiport networks. Stabilization theory of linear feedback systems using stable coprime factorizations of transfer functions has been well known. This theory witnessed glorious developments in recent past culminating into the approach to design of feedback systems. However these important developments have seldom been utilized for network interconnections due to the difficulty of realizing feedback signal flow graph for multi-port networks with inputs and outputs as port sources and responses. This paper resolves this problem by developing the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsControl and Stability of Dynamical Systems · Stability and Control of Uncertain Systems · Power System Optimization and Stability
