Demo Data from EDBT 2026 / reviewers in the wild / expert
C. Sriskandarajah
dblp:72/5300
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% | |
| Theoretical computer science
1 paper |
Automata and formal languages · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › manufacturing systems
flexible manufacturing systems |
0.0 | 1 | 2000 | Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibility · IEEE Trans. Robotics Autom. 2000 |
Embedded and real-time systems › industrial control systems › manufacturing system control
manufacturing cell control |
0.0 | 1 | 2000 | Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibility · IEEE Trans. Robotics Autom. 2000 |
Automata and formal languages › finite automata › sequential machines
moore machines |
0.0 | 1 | 2000 | Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibility · IEEE Trans. Robotics Autom. 2000 |
Methods — techniques the papers use, named apart from their topics
state-space minimization · 0.1controlled automata · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibilityabstractThe utilization of flexible manufacturing workcells (FMCs) to produce families of parts in many possible orders of operations and choices of different machines is advantageous. The modeling and control of such discrete-event systems (DESs) have generally been performed in a hierarchical structure. Despite intensive research on the theoretical control of DESs, however, current techniques such as controlled automata can still primarily be used for the supervisory control of simple cells. In the paper, a modeling and control synthesis technique is presented for FMCs that allow part-routing flexibility. The proposed methodology combines extended Moore automata (EMA) and controlled-automata theories to synthesize supervisors for such FMCs. EMA-based supervisors have the capability to read (receive) multiple pieces of information regarding the behavior of the FMC. Based on this information they can explicitly generate control commands issued to cell devices. In order to significantly reduce the state-space of EMA-based supervisors without affecting the behavior enforced on the (controlled) FMC, a minimization procedure is also outlined. Alejandro Ramirez-Serrano, C. Sriskandarajah, Beno Benhabib |
IEEE Trans. Robotics Autom. | 2 |
| 1999 | Control of Flexible-Manufacturing Workcells Using Extended Moore AutomataabstractThe modeling and control of flexible-manufacturing workcells (FMCs) has generally been performed in a hierarchical structure, where at the highest level they have been modeled as discrete-event systems (DESs). In this paper, a new DES control synthesis technique that combines Moore automata and controlled-automata theories to synthesize supervisors is presented. The obtained supervisors can monitor multiple pieces of information regarding the behavior of the FMC and can explicitly generate control commands issued to individual cell devices. Alejandro Ramirez-Serrano, C. Sriskandarajah, Beno Benhabib |
ICRA | 2 |