A Unified Method to Decentralized State Detection and Fault Diagnosis/prediction of Discrete-event Systems
From MaRDI portal
Publication:5158671
DOI10.3233/FI-2021-2062MaRDI QIDQ5158671
Publication date: 25 October 2021
Published in: Fundamenta Informaticae (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.04729
complexityfinite-state automatondiscrete-event systemconcurrent compositionco-diagnosabilityco-detectabilityco-predictability
Formal languages and automata (68Q45) Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) (68Q17)
Related Items (2)
Strong current-state and initial-state opacity of discrete-event systems ⋮ Detectability of labeled weighted automata over monoids
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- What topology tells us about diagnosability in partial order semantics
- Control of discrete-event systems. Automata and Petri net perspectives
- Generalized detectability for discrete event systems
- Algebraic methods for nonlinear control systems. Theory and applications.
- Diagnosis of discrete event systems using decentralized architectures
- Detecting patterns in finite regular and context-free languages
- Predictability of event occurrences in partially-observed discrete-event systems
- Diagnosability of discrete event systems and its applications
- Nonlinear control systems.
- Synchronizing finite automata on Eulerian digraphs.
- Decentralized observability of discrete event systems with synchronizations
- Codiagnosability of discrete event systems revisited: a new necessary and sufficient condition and its applications
- Deciding detectability for labeled Petri nets
- Supervisory control of discrete-event systems
- Complexity of deciding detectability in discrete event systems
- Coordinated decentralized protocols for failure diagnosis of discrete event systems
- Strong structural input and state observability of linear time-invariant systems: graphical conditions and algorithms
- On detectability of labeled Petri nets and finite automata
- Undecidable problems of decentralized observation and control on regular languages
- The problem of determining the weak (periodic) detectability of discrete event systems is PSPACE-complete
- Relationships between nondeterministic and deterministic tape complexities
- Model-based testing of reactive systems. Advanced lectures.
- A Weighted Pair Graph Representation for Reconstructibility of Boolean Control Networks
- Classical and Logic-Based Dynamic Observers for Finite Automata
- Introduction to Discrete Event Systems
- Reset Sequences for Monotonic Automata
- Observability of discrete event dynamic systems
- Supervisory Control of a Class of Discrete Event Processes
- On the Observability of Polynomial Systems, I: Finite-Time Problems
- A polynomial algorithm for testing diagnosability of discrete-event systems
- Distributed Fault Diagnosis in Discrete Event Systems via Set Intersection Refinements
- On the Decidability and Complexity of Diagnosability for Labeled Petri Nets
- The Complexity of Diagnosability and Opacity Verification for Petri Nets
- Diagnosability of discrete-event systems
- Decentralized Prognosis of Failures in Discrete Event Systems
- Observability of complex systems
- Discrete-Time and Discrete-Space Dynamical Systems
- Estimation and Inference in Discrete Event Systems
- Polynomial-time verification of diagnosability of partially observed discrete-event systems
- Detectability of Discrete Event Systems
- Polynomial Time Verification of Decentralized Diagnosability of Discrete Event Systems
- The Complexity of Codiagnosability for Discrete Event and Timed Systems
- A New Approach for Diagnosability Analysis of Petri Nets Using Verifier Nets
- Observability for Switched Linear Systems: Characterization and Observer Design
- Observability, Reconstructibility and State Observers of Boolean Control Networks
- Mathematical Description of Linear Dynamical Systems
This page was built for publication: A Unified Method to Decentralized State Detection and Fault Diagnosis/prediction of Discrete-event Systems