CORTEXA
← Browse
arxiveess.SY2026-06-26

Specification-aware Robustness Margins for Symbolic Controllers

Youssef Ait Si, Antoine Girard, Adnane Saoud

We address the problem of robust controller synthesis for a class of linear temporal logic (LTL) specifications over families of perturbed systems using symbolic control techniques. Given a dynamical system, a specification, and a symbolic controller synthesized using the fixed-point algorithm of the specification, the objective is to find the maximal perturbation we can apply to the system while the system continues to satisfy the same specification under the same controller. We first provide general results, by demonstrating that controllers synthesized based on the symbolic model can be refined back to a perturbed version of the concrete system while preserving their correctness. Focusing on four fundamental temporal logic specifications, namely safety, reachability, persistence, and recurrence, we introduce a general measure of the maximal robustness margin. Then, for each class of specifications, we derive a customized version of the measure and establish the corresponding theoretical guarantees. Importantly, the robustness margin depends explicitly on the sequence of sets generated during the fixed-point computation, allowing for specification-dependent and less conservative bounds compared to generic abstraction-based approaches. The theoretical developments are illustrated on two examples, demonstrating the practical applicability and effectiveness of the proposed approach.

View free PDFSource page

Related papers

arxiveess.SY2026-07-23

Robust Adaptive Backup Control Barrier Functions

Ersin Daş, David E. J. van Wijk, Tamas G. Molnar, Aaron D. Ames, Joel W. Burdick

We propose a notion of robust adaptive backup control barrier functions for nonlinear control affine systems with parametric uncertainty in both the drift dynamics and actuation matrix. Backup control barrier functions guarantee safety by predicting the system's trajectory under…

View free PDFSource page
arxivmath.OCeess.SY2026-07-13Cited by 1

Sparse Robust Optimal Control in Continuous-Time: A Computationally Viable Approach

Siddhartha Ganguly, Ashwin Aravind, Souvik Das, Masaaki Nagahara, Debasish Chatterjee

This article presents a novel, numerically viable algorithm for solving sparse robust optimal control problems in continuous time. We consider a constrained linear noisy system governed by an ordinary differential equation (ODE), with an $L^1$-type objective function in line with…

View free PDFSource page
arxiveess.SYcs.RO2026-07-21

STL-GCS: A Planner-Controller Framework for Signal Temporal Logic via Graphs of Time-varying Convex Sets

Nicola De Carli, Gregorio Marchesini, Dimos Dimarogonas

We present a unified trajectory planning and control framework for the satisfaction of Signal Temporal Logic (STL) specifications defined over convex predicates. At the planning layer, STL tasks are encoded as time-varying convex sets in configuration space, specifically designed…

View free PDFSource page
arxiveess.SY2026-07-17

Scalable Supervisory HVAC Control for Linear Objectives

W. Grant Dierking, Arash J. Khabbazi, Levi D. Reyes Premer, Kevin J. Kircher

Advanced control of heating and cooling systems can substantially reduce energy costs and pollution. However, real-world adoption of popular algorithms among researchers, such as model predictive control (MPC) and reinforcement learning (RL), remains limited due in part to their…

View free PDFSource page
arxiveess.SY2026-07-31

Robust stabilization of time-delay discrete switched affine systems via a predictive switching control law

Gerson Portilla, Carolina Albea, Alexandre Seuret

This paper addresses the robust control of uncertain discrete-time switched affine systems subject to a single unitary input delay. The unique feature of this class of systems lies in the fact that the control input is the switching signal, which belongs to a finite set of values…

View free PDFSource page