Control design toolbox has additional control algorithms
Maplesoft's MapleSim Control Design Toolbox supports parameterized controllers and additional control algorithms that operate on a wide range of systems.
Maplesoft's MapleSim Control Design Toolbox allows engineers to take advantage of the greater flexibility and analysis options available through the use of symbolic parameters. This new release extends the functionality of this toolbox with more control algorithms, options for automatically selecting the most suitable algorithm and parameter values, and extensive improvements to existing features.
The MapleSim Control Design Toolbox now includes additional control algorithms that operate on a wide range of systems and the ability to construct closed-loop systems so that users can create controllers with feedback. It offers a more complete set of algorithms for PID control, including automatic tuning of the controller. It also provides automatic computation of design parameters, such as poles and weighted matrices, for state control feedback design. These enhancements allow engineers to design a greater variety of controllers and controller-observer systems such as linear-quadratic-Gaussian control (LQG).
- Edited by CFE Media. See more Control Engineering PLM and control design products.
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Before the calendar turned, 2016 already had the makings of a pivotal year for manufacturing, and for the world.
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