Name
Affiliation
Papers
PIETER J. MOSTERMAN
Center for Intelligent Systems, Vanderbilt University, Nashville, Tennessee
56
Collaborators
Citations 
PageRank 
97
429
53.18
Referers 
Referees 
References 
876
687
388
Search Limit
100876
Title
Citations
PageRank
Year
An Application of Model Predictive Control to Reactive Motion Planning of Robot Manipulators.00.342021
Specification and Runtime Verification of Temporal Assessments in Simulink00.342021
A Simulator for Trading Traffic Privileges by Selfish Driving Cars00.342020
A discrete-event and hybrid traffic simulation model based on SimEvents for intelligent transportation system analysis in Mcity.20.452019
Hybrid simulation for cyber physical systems: a panel on where are we going regarding complexity, intelligence, and adaptability of CPS using simulation.00.342018
The experiment model and validity frame in M&S00.342017
Automated closed-loop model checking of implantable pacemakers using abstraction trees.00.342017
A simevents model for hybrid traffic simulation00.342017
Industry 4.0 as a Cyber-Physical System study.281.502016
Ontological reasoning for consistency in the design of cyber-physical systems10.372016
Extensible Discrete-Event Simulation framework in SimEvents.10.392016
Simulating a multicore scheduler of real-time control systems in simulink.00.342016
Cyber-physical systems challenges: a needs analysis for collaborating embedded software systems.160.952016
Grand challenges for modeling and simulation: simulation everywhere—from cyberinfrastructure to clouds to citizens40.572015
Automating humanitarian missions with a heterogeneous fleet of vehicles.60.472014
Jacobian pattern synthesis and application for dynamic system ensembles using boolean linear fraction transformation00.342014
Motivating Use Cases For The Globalization Of Dsls00.342014
A hyperdense semantic domain for hybrid dynamic systems to model different classes of discontinuities20.512014
Rule-based model transformation for, and in simulink10.402014
A Heterogeneous Fleet of Vehicles for Automated Humanitarian Missions60.582014
Systematic management of simulation state for multi-branch simulations in simulink10.432013
Semantics for an interdisciplinary computation (WIP)00.342013
A graph algorithm for linearizing simulink models10.372013
A Hyperdense Semantic Domain for Discontinuous Behavior in Physical System Models.40.532013
Data Type Propagation in Simulink Models with Graph Transformation40.422013
Towards sensitivity analysis of hybrid systems using simulink30.472013
Integrating discrete-event and time-based models with optimization for resource allocation00.342012
Technical engine for democratization of modeling, simulations, and predictions20.512012
AdvancingModel-Based Design by Modeling Approximations of Computational Semantics.80.772011
Detecting data store access conflict in Simulink by solving Boolean satisfiability problems20.402010
Guest Editorial: Special Issue on Multi-paradigm Modeling20.402009
Automatic Code Generation for Synchronous Reactive Communication50.532009
Constitutive Hybrid Processes: a Process-Algebraic Semantics for Hybrid Bond Graphs60.542008
Automatically Realising Embedded Systems from High-Level Functional Models00.342008
Second International Workshop on Multi-Paradigm Modeling: Concepts and Tools30.482007
A graphical variant approach to object-oriented modeling of dynamic systems30.512007
Model-Based Design of Embedded Systems10.382007
Building Efficient Simulations From Hybrid Bond Graph Models10.412006
06161 Working Groups' Report: The Challenge of Combining Simulation and Verification10.632006
Hybrid System Simulation with SIMEVENTS60.882006
Formalizing Causal Block Diagrams For Modeling A Class Of Hybrid Dynamic Systems90.642005
Computer Automated Multi-Paradigm Modeling: An Introduction674.042004
Hybrid dynamic systems: mode transition behavior in hybrid dynamic systems10.502003
A Hybrid Modeling and Simulation Methodology for Dynamic Physical Systems60.712002
Guest editorial: Special issue on computer automated multi-paradigm modeling252.122002
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality50.602001
A comprehensive methodology for building hybrid models of physical systems101.052000
Towards Procedures for Systematically Deriving Hybrid Models of Complex Systems50.792000
Signal Interpretation For Monitoring And Diagnosis, A Cooling System Testbed40.792000
Building Hybrid Observers for Complex Dynamic Systems Using Model Abstractions71.601999
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