Controls & Optimization

The Controls and Optimization technology domain leverages controls, estimation, optimization, operations research, and risk management to improve customer outcomes.  The team provides digital solutions to optimize asset and system performance, operation, cyber-physical security and management.

The team consists of more than 80 engineers and scientists specializing in model-based controls, real-time non-linear optimization, estimation, human factors, applied mathematics and their interaction with industrial engineering, operation research, management science, modeling and simulation capability for discrete events systems, physics-based systems models, agent and dynamic simulation, decision science based on mathematical and heuristic optimization, risk technology based on statistical modeling, quantitative finance, big data analytics and risk management.