Lifted polytope methods for stability analysis of switching systems
Raphael M. Jungers, Nicola Guglielmi, Antonio Cicone

TL;DR
This paper introduces innovative lifted polytope methods that enhance the stability analysis of switching systems by combining existing ideas and reducing computational complexity through a pruning algorithm.
Contribution
It presents a novel combination of polytope norm iteration and lifting procedures, along with a pruning algorithm, to improve stability analysis efficiency.
Findings
The methods extend finiteness results for unlifted matrix sets.
Numerical examples demonstrate good performance and computational benefits.
The approach offers a new theoretical framework for stability analysis.
Abstract
We describe new methods for deciding the stability of switching systems. The methods build on two ideas previously appeared in the literature: the polytope norm iterative construction, and the lifting procedure. Moreover, the combination of these two ideas allows us to introduce a pruning algorithm which can importantly reduce the computational burden. We prove several appealing theoretical properties of our methods like a finiteness computational result which extends a known result for unlifted sets of matrices, and provide numerical examples of their good behaviour.
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Taxonomy
TopicsStability and Control of Uncertain Systems · Matrix Theory and Algorithms · Control and Stability of Dynamical Systems
