In this paper, we introduce a set representation called polynomial logic...
For large-scale cyber-physical systems, the collaboration of spatially
d...
The ability to perceive and comprehend a traffic situation and to predic...
Reinforcement learning (RL) algorithms can achieve state-of-the-art
perf...
This paper considers the problem of set-based state estimation for linea...
In this paper, we propose a new set representation for binary vectors ca...
Reinforcement learning (RL) is capable of sophisticated motion planning ...
The privacy aspect of state estimation algorithms has been drawing high
...
This paper proposes a data-driven set-based estimation algorithm for a c...
This paper presents algorithms for performing data-driven reachability
a...
We consider the problem of computing reachable sets directly from noisy ...
We present a robust data-driven control scheme for unknown linear system...
One of the main challenges in developing autonomous transport systems ba...
In this paper, we propose a data-driven reachability analysis approach f...
Set-based estimation has gained a lot of attention due to its ability to...
Time awareness is critical to a broad range of emerging applications – i...
Research evidence in Cyber-Physical Systems (CPS) shows that the introdu...
Through the last decade, we have witnessed a surge of Internet of Things...
Hardware Trojan detection and protection is becoming more crucial as mor...
The performance of a distributed network state estimation problem depend...