Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

At California Institute of Technology, he helped build interdisciplinary research environments Morari helped turn MPC from ...

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 ...

Duncan Bain explains why predictive maintenance remains central to the AI agenda for the manufacturing sector.

Expand Your Career Options With an Online Control Systems Certificate from One of the Nation’s Top Engineering Schools. Control systems engineers are responsible for designing, developing, and ...

Researchers have developed a predictive energy management framework for megawatt-class parallel hybrid-electric regional ...

The partnership with PAR Systems further strengthens SORBA.ai’s global ecosystem of automation providers, system integrators, and industrial technology leaders. Together, the companies will ...

Control systems integrators provide single-point responsibility for PLCs, SCADA, networks and cybersecurity, dramatically reducing troubleshooting time compared to fragmented multi-vendor approaches ...

Electrical machines consume nearly half of all the electrical power generated worldwide, making them one of the top contributors to carbon dioxide emissions. If we are to develop sustainable societies ...

Quick Summary Looking to modernise and secure complex industrial operations? Explore the 7 best industrial automation and control systems for enterprises in 2026 that help optimise production, improve ...