Advanced Control Systems

Leading with control.

Automatic control systems take real-time measurements of a system under control, process the information with a control algorithm, and apply the results of the calculation back to the system under control via actuators. MERL's research focuses on development of new control algorithms that provide higher performance than the state-of-the-art. Recent results include more energy efficient air conditioners and servomotors, more precise laser processing systems, smoother riding elevators, and low-fuel mission plans for space probes. MERL's expertise includes optimal control, nonlinear control, adaptive and learning control, distributed control, and model-predictive control. MERL also conducts fundamental research to develop new control theory for general purpose use, with a strong interest in model predictive an adaptive control theories.