Abstract: An industrial controller simulation system is provided. The system includes a simulation component that enables modeling of an industrial controller system. A suggestion component offers automated recommendations in accordance with the modeling of the industrial controller system.

Abstract: System(s) and method(s) facilitate a distributed simulation of an industrial control system. A model of the industrial control system is generated and computing resources are scheduled for simulating portions of a simulation according to the model. Computing resources are scheduled to mitigate computational bottlenecks in the simulation and synchronize portions of the simulation deployed in disparate computing resources. Sub-processes of a control process can be simulated in dedicated computing resources as a part of a distributed simulation of the control process. Execution time of one or more portions of a distributed simulation can be increased or slowed down to synchronize said portions.

Abstract: A simulation tool for an industrial automation system is provided. The tool includes a simulation component that simulates one or more components of an industrial control system. At least one directed model provides one or more suggested parameters or profiles to the simulation component, where the suggested parameters or profiles are derived from data relating to an industry or controls application.

Abstract: A simulation tool for an industrial automation system is provided. The tool includes a simulation component that simulates one or more components of an industrial control system. At least one directed model provides one or more suggested parameters or profiles to the simulation component, where the suggested parameters or profiles are derived from data relating to an industry or controls application.

Abstract: System(s) and method(s) facilitate a distributed simulation of an industrial control system. A model of the industrial control system is generated and computing resources are scheduled for simulating portions of a simulation according to the model. Computing resources are scheduled to mitigate computational bottlenecks in the simulation and synchronize portions of the simulation deployed in disparate computing resources. Sub-processes of a control process can be simulated in dedicated computing resources as a part of a distributed simulation of the control process. Execution time of one or more portions of a distributed simulation can be increased or slowed down to synchronize said portions.

Abstract: A tool for simulating an industrial control system is provided. The tool includes a simulation component to emulate a controller according to a simulated execution environment and one or more simulation models for simulating devices associated with the controller, where the controller and the devices are integrated in a common simulation platform.

Abstract: A system that generates deployable runtime code modules is provided. The system includes an input component that accepts specifications in accordance with design preferences, a simulation component that creates and executes a simulation of the control program to be implemented, and a code generation component that creates the deployable runtime code.

Abstract: An industrial controller simulation system is provided. The system includes a simulation component that enables modeling of an industrial controller system. A suggestion component offers automated recommendations in accordance with the modeling of the industrial controller system.

Abstract: Systems and methods are provided to facilitate simulation(s) of components of an industrial control system. Simulation(s) execution time can be decreased by conducting the simulation in a parallel computing platform, and coupling the simulation with an optimization component that restructures the simulation code. Such automated reconfiguration removes inhibitors for parallelism, resulting in optimized code to execute the simulation, with the ensuing reduction in execution time. Execution time can also be reduced by applying an adaptive time step during state propagations that are part of the simulation.