Sohrab Haghighat
Papers
1
Total Citations
7
H-Index
1
About
Sohrab Haghighat is a control systems researcher whose work focuses on the advanced coordination and precision control of mechatronic systems. His primary research areas include model predictive control (MPC), dual-stage actuation, and constrained trajectory optimization for high-precision positioning systems. Haghighat’s most notable contribution is his 2014 paper, "Coordinated Control of a Dual-Stage Positioning System Using Constrained Model Predictive Control," which has garnered 7 citations. In this work, he addresses the complex challenge of synchronizing coarse and fine actuators in dual-stage systems—critical for applications in factory automation, robotic manipulators, and high-density data storage. By integrating MPC with physical constraints, Haghighat’s approach enables smoother, more accurate motion control while preventing actuator saturation or damage. This research bridges theoretical control design with practical implementation, offering a robust framework for next-generation manufacturing and robotics. His work demonstrates a keen ability to solve real-world engineering problems through rigorous mathematical modeling, making him a valuable contributor to the field of precision motion control.
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