Computer Networking: A Top-Down Approach Featuring the Internet
Computer Networking: A Top-Down Approach Featuring the Internet
Hybrid Systems IV
Modeling of sensor nets in Ptolemy II
Proceedings of the 3rd international symposium on Information processing in sensor networks
A co-simulation platform for actuator networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Internet congestion control: complete stability region for pi aqm and bandwidth allocation in networked control
Decentralized and dynamic bandwidth allocation in networked control systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Integrated simulation with VTB and OPNET for networked control and protection in power systems
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
NCS security experimentation using DETER
Proceedings of the 1st international conference on High Confidence Networked Systems
Integrated simulation and emulation platform for cyber-physical system security experimentation
Proceedings of the 1st international conference on High Confidence Networked Systems
NCSWT: an integrated modeling and simulation tool for networked control systems
Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control
A comprehensive co-simulation platform for cyber-physical systems
Computer Communications
HybridSim: A Modeling and Co-simulation Toolchain for Cyber-physical Systems
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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In this paper, we argue that simulation of Networked Control Systems (NCSs) needs to be carried out through co-simulation, which requires the joint and simultaneous simulation of both physical and communication networks dynamics. Co-simulation enables construction of synthetic large-scale networks and workloads, replay of collected traces, and obtaining a complete snapshot of both the network behavior and the physical systems states. Therefore, co-simulation provides in-depth understanding of the interaction between communication networks and physical systems dynamics. In this paper, we overview three co-simulation tools that we have developed for NCS co-simulation. The first two tools are extensions to ns-2called Agent/Plantand NSCSPlant; the third tool integrates Modelica and ns-2. For each tool, we present demonstrative case studies that highlight its capabilities.