Mathematical modelling environment with export
Adept Scientific has announced the release of BlockBuilder for Simulink, a mathematical modelling environment that offers automated export to Simulink.
Adept Scientific has announced the release of BlockBuilder for Simulink, a mathematical modelling environment that offers automated export to Simulink.
Using BlockBuilder enables engineers to save time and dramatically reduce the risk of error in the model-based design of dynamic systems.
"Rapid physical modelling is a key part of the design of dynamic systems," said Jim Cooper, CEO of Maplesoft, producers of Blockbuilder.
"Many engineers have asked us for the ability to enhance and extend their Simulink models with Maple, the world's most powerful mathematical modelling system.
BlockBuilder answers that need, particularly for control applications, by enabling users to mathematically develop models and then implement them directly in Simulink as a subsystem block." Featuring the full power of Maple, BlockBuilder enables engineers to develop ideas from initial concepts to high-fidelity physical models and automatically generate Simulink S-Function blocks.
BlockBuilder also allows users to fully encapsulate their analysis, manipulations, transformation, code generation, verification and documentation in a flexible mathematical environment.
The result is unmatched power, flexibility and visibility into the design cycle.
BlockBuilder's interactive technical document environment allows users to facilitate the development of systems using a "First Principles" approach that cannot be easily achieved in any other environment.
The powerful, free-form and easy-to-use working environment provides components such as text, plots and images that incorporate the maths into a fully documented, readable and interactive application.
This enables users to capture the thinking behind their analysis and to easily share and re-use their knowledge.
Using the S-Function generation capability, engineers can export dynamic system models and analytical algorithms from the BlockBuilder model development environment to Simulink as a fully encapsulated block that can be readily incorporated into a Simulink model diagram.
This is particularly useful for real-time execution in hardware-in-the-loop applications.
Other key features of the S-Function generation in BlockBuilder include: Supports Transfer Function, Differential/Difference Equations, State Space, Zero/Pole/Gain models; Enables creation of multi-input/multi-output blocks.
Supports procedures for exporting nonlinear models and other algorithms; Creates MATLAB code S-Functions for interpreted use in the Simulink environment; Creates ANSI C code S-Functions for fast execution and real-time implementation through Real-Time Workshop.
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