Model-Based Calibration Toolbox 3.7

Latest Features

Version 3.7

Released: 04 Sep 2009
 

Version 3.7, part of Release 2009b, includes the following enhancements:

• New wizards to automate creating an optimization, tables, and tradeoffs from a model
• New API for creating and evaluating boundary models for constraining online Design of Experiments (DOE)
• Support for difficult diesel calibration problems by evaluating optimization objectives and constraints over different drive cycles
• Enhanced tools for analyzing and exporting multiobjective optimization results
• Ability to duplicate optimization constraints

See the Release Notes for details.

Update Now

• Download the latest version if your software maintenance service is current.
• Purchase or request a renewal quote if your maintenance service has lapsed.
• Try the latest version by downloading or requesting trial software.

---

Version 3.6

Released: 06 Mar 2009
 

Version 3.6, part of Release 2009a, includes minor enhancements.

See the Release Notes for details.

Version 3.5

Released: 09 Oct 2008
 

Version 3.5, part of Release 2008b, includes the following enhancements:

• Enhanced Boundary Editor GUI, simplifying the creation of boundary models
• Automated setup process for point-by-point modeling and optimization for diesel engine calibration

See the Release Notes for details.

Version 3.4.1

Released: 16 Oct 2008
 

Version 3.4.1, an update to Release 2008a, includes bug fixes. See the Release Notes for details.

Version 3.4

Released: 01 Mar 2008
 

Version 3.4, part of Release 2008a, includes the following enhancements:

• New command-line functionality for creating space-filling, optimal, classical, or custom experimental designs
• New Sobol and Halton sequence space-filling design types for generating highly uniform experimental designs
• New contour and surface views of optimization output that aid in assessment of results for generating optimal lookup tables
• New parallel computing support for fitting multiple models to experimental data
• Enhanced generation of multiple starting conditions to help detect global optima with gradient-based optimization algorithms

See the Release Notes for details.