activity
20142018
most citedComputing Robust Controlled Invariant Sets of Linear Systems

96 citations · 154 across the 7 of their papers we have counts for

collaborators

11 papers

eess.SY2018

Software Fault Tolerance for Cyber-Physical Systems via Full System Restart

Pushpak Jagtap, Fardin Abdi, Matthias Rungger +2

The paper addresses the issue of reliability of complex embedded control systems in the safety-critical environment. In this paper, we propose a novel approach to design controller…

eess.SY2018★ 4 cited

SENSE: Abstraction-Based Synthesis of Networked Control Systems

Mahmoud Khaled, Matthias Rungger, Majid Zamani

While many studies and tools target the basic stabilizability problem of networked control systems (NCS), nowadays modern systems require more sophisticated objectives such as thos…

eess.SY2017★ 1 cited

Quantitative Implementation Strategies for Safety Controllers

Philipp J. Meyer, Matthias Rungger, Michael Luttenberger +2

We consider the symbolic controller synthesis approach to enforce safety specifications on perturbed, nonlinear control systems. In general, in each state of the system several con…

math.OC2017★ 21 cited

Optimized State Space Grids for Abstractions

Alexander Weber, Matthias Rungger, Gunther Reissig

The practical impact of abstraction-based controller synthesis methods is currently limited by the immense computational effort for obtaining abstractions. In this note we focus on…

math.OC2017★ 28 cited

Symbolic Optimal Control

Gunther Reissig, Matthias Rungger

We present novel results on the solution of a class of leavable, undiscounted optimal control problems in the minimax sense for nonlinear, continuous-state, discrete-time plants. T…

eess.SY2017★ 4 cited

Invariance Feedback Entropy of Uncertain Control Systems

Mahendra Singh Tomar, Matthias Rungger, Majid Zamani

We introduce a novel notion of invariance feedback entropy to quantify the state information that is required by any controller that enforces a given subset of the state space to b…