Engineering Systems are a “class of systems characterized by a high degree of technical complexity, social intricacy and elaborate processes aimed at fulfilling important functions in society” (deWeck et al 2012). At their core, they integrate multiple technologies which often exhibit complex dynamics at multiple time scales. These dynamics necessitate the need for similarly complex layers of control, automation, and IT technologies so that they may reliably deliver their intended services. As such, they take on a cyber-physical quality. Furthermore, their overall size makes them pervasive in our society requiring us to optimize their economic impacts and regulate their social consequences.

Mission: The Laboratory for Intelligent Integrated Networks of Engineering Systems is devoted to the study of such large complex socio-technical-economic systems. In particular, we seek to develop an internationally recognized, locally relevant and industrially-facing program of research that engineers intelligent & integrated control, automation, and IT systems that support the operations and planning of large scale networks of engineering systems so as to improve technical, economic, and social sustainability. Additionally, these activities will encourage and facilitate technology policy that supports the achievement of transportation, energy and water policy objectives while eliminating barriers to environmentally efficient and effective automated solutions.


Application Areas-Research Themes
: Our laboratory is currently concerned with five classes of engineering systems:

Disciplinary Expertise: Our laboratory maintains disciplinary expertise in the following fields:
  • Modeling of Dynamic Systems: The techno-economic modeling of dynamic systems across multiple application and energy domains.
  • Graph Theory: The study of the network sciences and its measures
  • Model Based Systems Engineering -- Design Methodologies for Large Complex Systems: The application of systems engineering and design methodologies for the engineering of integrated control, automation and IT solutions for physical systems.
  • Control Systems Engineering: The design of robust control strategies for time-driven, event-driven, and hybrid systems.
  • Operations Management & Research: The operations and planning of large scale complex networks on the basis of mathematical programming/optimization.
  • Technology Policy: The support of energy-water environmental objectives through the lens of technology adoption and facilitation.

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