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Keynote Speaker

Rob Aberg, The MathWorks

Rob Aberg directs the core development teams for Simulink® . He holds an M.S.M.E. and B.S.M.E. from the University of Arizona. Rob started at The MathWorks as a developer in 1998, specialising in real-time applications, and has made contributions to Simulink, Real-Time Workshop, and related products. Prior to joining The MathWorks, Rob worked for 14 years in the aerospace industry, including unmanned air vehicle work at the U.S. Navy Research Laboratory’s Tactical Electronics Warfare Division, Offboard Countermeasures Branch; control system design and software engineering for digital engine control systems and real-time simulators at Honeywell Engine Systems and Services; and at a test systems consulting firm for engineering projects such as satellite payloads and other aerospace vehicle systems.

Abstract

Aerospace and Defense systems have increasingly relied on Model-Based Design as a key enabler to remain competitive in delivering complex vehicles and systems containing millions of lines of embedded software. Publicly announced customer successes using MathWorks tools recently include Northrop Grumman’s Global Hawk, Fire Scout, X-47A, and RMAX and the F-35 Lightning II flight controls and vehicle systems software announced by Lockheed Martin. The continued pace of technological change challenges systems and vehicle engineering teams to find new ways to create advanced algorithms at the same time software and hardware engineers are advancing the state of the art in embedded computing platforms. For these types of projects, increased parallel development is a must. Managing the program risks of more parallel development is creating new tool requirements, due to the need to avoid performance gaps or late system-level issues. To that end, the broad use of system-level models and simulations instead of prototypes and local models has levied new performance demands on a project's tools and engineering processes. In response to these needs, MathWorks continues to invest heavily in multiple areas of Model-Based Design including verification and validation, automatic code generation, and new large scale component, team-based, and architectural modeling capabilities to help provide a way forward for delivering complex aerospace projects.