Systems Modeling

Systems Modeling

Altair model-based development (MBD) tools drive fast development for smarter connected systems. Altair customers simulate complex products as systems-of-systems throughout your entire development cycle from early concept design to detailed design to hardware-in-the-loop testing (HIL). Explore more by combining mechanical models with electrical models (in 0D, 1D, and/or 3D) to enable multi-disciplinary simulation and leverage automatic code-generation for your next generation embedded systems.

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Math, Scripting, and Data Analysis

Math, Scripting, and Data Analysis

Altair Compose® is an all-in-one environment performing a wide variety of math operations including linear algebra and matrix manipulations, statistics, differential equations, signal processing, control systems, polynomial fitting, and optimization. It provides a user-friendly, multi-language tool for performing calculations, and manipulating and visualizing data including from CAE and test results. Compose supports process automation and scripting for capturing repeated calculations.

Multi-Disciplinary System Simulation

Multi-Disciplinary System Simulation

Altair Activate® rapidly models multi-disciplinary systems as 1D models. By simulating the performance of an entire product customers can understand overall behavior earlier and recognize key interactions between components and subsystems. Activate allows mixed signal-based and physical modeling including pre-defined libraries for mechanical, electrical, and thermal components. The powerful built-in functionality is extended by open standards such as Modelica and FMU to couple 1D and 3D models.

Visual Environment for Embedded Systems

Visual Environment for Embedded Systems

Altair Embed® is a proven tool for model-based firmware development of embedded systems including motor control, IoT devices, and vision systems. With Embed, you can design, analyze, and simulate your embedded system using block diagrams and state charts, then automatically generate compact and optimized code to run on an extensive selection of microcontrollers from Texas Instruments™, STMicroelectronics®, Arduino®, Raspberry Pi™, and others. Hardware-in-the-Loop testing is fully supported using a high-speed bidirectional communication link for data collection and real-time tuning.