India's Automation Magazine
Model Predictive Control
A 2026 study demonstrated model predictive control for a continuous pharmaceutical manufacturing process, using predictive models to improve process control and respond to changing operating conditions. Read More →
2026 – Imprint News Desk
Researchers developed an output-feedback MPC system for wastewater treatment plants that can adjust operating conditions according to water-quality targets while maintaining energy-efficient operation. Read More →
Jul 2026 – Imprint News Desk
MPC uses mathematical models of a process to predict future operating conditions and optimize control actions, making it suitable for complex manufacturing processes where multiple variables must be controlled simultaneously. Read More →
2026 – Imprint News Desk
A 2026 Journal of Process Control study developed data-driven soft-constrained MPC with disturbance rejection for wastewater treatment, demonstrating how predictive models and operational data can improve control under changing process conditions. Read More →
Apr 2026 – Imprint News Desk
Researchers developed a chance-constrained MPC approach for vehicle-to-grid battery operation that uses online Gaussian-process learning to account for battery degradation and uncertainty. Testing showed improved battery-capacity retention compared with deterministic MPC. Read More →
