Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics
Mert Bastug, Mihaly Petreczky, Rafael Wisniewski, John Leth

TL;DR
This paper introduces a method to reduce the complexity of linear switched systems by limiting discrete dynamics, maintaining behavior for specific switching sequences, aiding in hybrid system control synthesis.
Contribution
The paper proposes a novel reduction technique that preserves system behavior for selected switching sequences, facilitating hybrid system control design.
Findings
Reduces system complexity while maintaining behavior for certain sequences
Applicable to hybrid system control synthesis
Enhances abstraction-based control methods
Abstract
We present a procedure for reducing the number of continuous states of discrete-time linear switched systems, such that the reduced system has the same behavior as the original system for a subset of switching sequences. The proposed method is expected to be useful for abstraction based control synthesis methods for hybrid systems.
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Taxonomy
TopicsModel Reduction and Neural Networks · Formal Methods in Verification · Advanced Control Systems Optimization
