Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

At INTERPHEX 2026, David Chau and Stuart Tindal discuss automation, single-use durability challenges, and the shift to predictive control in continuous bioprocessing. In Part 1 of a 2-part interview ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

Managing variation requires a different approach in fab management, moving from reactive to predictive methodologies. This is easier said than done, however. Predictive fab management requires a much ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...

Enterprises are moving from reactive cloud cost management to AI-driven predictive optimization, integrating large-scale usage data with real-time analytics to cut waste and improve efficiency. Poor ...