Approximation Metrics Based on Probabilistic Bisimulations for General State-Space Markov Processes: A Survey
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Summary
This article provides a survey of approximation metrics for stochastic processes based on the notion of probabilistic bisimulation, and investigates metrics characterized by an approximate variant of this notion.
- Type
- article
- Published
- 2013-12-01
- Cited by
- 47
- References
- 72
- Access
- Open access
- OpenAlex
- https://openalex.org/W2122994575
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1568096
Keywords
Bisimulation, Probabilistic logic, Metric (unit), State space, Mathematics
References
- Principles of Model Checking (Representation and Mind Series)
- Stochastic hybrid systems: Theory and safety critical applications
- Algebraic Reasoning for Probabilistic Concurrent Systems
- Bisimulation through Probabilistic Testing
- Stochastic Hybrid Systems: Research Issues and Areas
- Principles of model checking
- On Contraction Analysis for Non-linear Systems
- Interactive Markov Chains
- Metrics for Markov Decision Processes with Infinite State Spaces
- Labeled Markov processes: stronger and faster approximations
- Numerical Methods for Stochastic Control Problems in Continuous Time
- Continuous stochastic logic characterizes bisimulation of continuous-time Markov processes
- Popov-Type Criterion for Stability of Nonlinear Sampled-Data Systems
- On the Approximation Quality of Markov State Models
- Approximate Model Checking of Stochastic Hybrid Systems
- Markov Chains and Stochastic Stability
- Approximate abstractions of stochastic systems: A randomized method
- Approximation Metrics for Discrete and Continuous Systems
- Metrics for labelled Markov processes
- Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Harold J. Kushner)
Cited by
- Finite Abstractions of Max-Plus-Linear Systems: Theory and Algorithms
- Quantitative Analysis of Software Approximate Correctness
- Quantitative Approximation of the Probability Distribution of a Markov Process by Formal Abstractions
- On approximation metrics for linear temporal model-checking of stochastic systems
- Observer-based correct-by-design controller synthesis
- Correct-by-design output feedback of LTI systems
- Formal Verification of Stochastic Max-Plus-Linear Systems
- Linear Distances between Markov Chains
- Bisimulation Metrics are Optimal Value Functions
- Controller Synthesis for Probabilistic Safety Specifications using Observers
- On the Relationship Between Bisimulation and Trace Equivalence in an Approximate Probabilistic Context
- Abstraction Based Reachability Analysis for Finite Branching Stochastic Hybrid Systems
- A Probabilistic Calculus of Cyber-Physical Systems
- Data-driven and model-based methods for verification and control of physical systems
- A Generalized Framework For Kullback–Leibler Markov Aggregation
- Temporal logic control of general Markov decision processes by approximate policy refinement
- Context-Specific Validation of Data-Driven Models
- Probabilistic analysis of self-stabilizing systems: A case study on a mutual exclusion algorithm
- Compositional Abstraction-based Synthesis of General MDPs via Approximate Probabilistic Relations
- Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement
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