Safe Controlled Invariance for Linear Systems Using Sum-of-Squares Programming
Han Wang, Kostas Margellos, Antonis Papachristodoulou

TL;DR
This paper presents a straightforward sum-of-squares programming approach to synthesize safe invariant sets and controllers for linear systems, ensuring safety guarantees.
Contribution
It introduces a novel invariance-based method that simplifies the synthesis of safe controllers for linear systems using sum-of-squares programming.
Findings
Provides a new method for safe invariant set synthesis
Ensures safety guarantees for linear systems
Simplifies the controller synthesis process
Abstract
Safety is closely related to set invariance for dynamical systems. However, synthesizing a safe invariant set and at the same time synthesizing the associated safe controller still remains challenging. In this note we introduce a simple invariance-based method for linear systems with safety guarantee. The proposed method uses sum-of-squares programming.
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Taxonomy
TopicsFormal Methods in Verification · Fault Detection and Control Systems · Advanced Control Systems Optimization
