Advanced Control Strategies for Designing Next-Generation Semiconductor Equipment
Overview
Semiconductor manufacturing equipment must deliver unprecedented precision, speed, and reliability – pushing traditional control methods to their limits. Join this webinar to learn how Model-Based Design and advanced control techniques empower engineers to meet these demands. Attendees will gain a firsthand look at how smarter control system design leads to faster time-to-market, fewer errors, and improved operational efficiency in the semiconductor equipment industry.
Highlights
In this session, we’ll explore:
- Adaptive control strategies and Model Predictive Control (MPC) that dynamically optimize performance for complex tools.
- Streamlined workflows to automatically generate embedded and PLC code for rapid deployment.
- Real-world examples that illustrate these concepts in action, from active vibration suppression in high-speed motion stages to precise temperature control in process chambers using MIMO techniques.
About the Presenter
Mahaveer Satra
Senior Application Engineer, MathWorks
Mahaveer Satra is a Senior Application Engineer at MathWorks, where he partners with leading semiconductor and industrial automation companies to drive innovation through Technical Computing and Model-Based Design. With over nine years of experience, Mahaveer specializes in developing digital twins, advanced control architectures, and AI-integrated workflows that accelerate product development and enhance system performance. His technical expertise spans dynamic system modeling and simulation, predictive maintenance, and Agentic AI, enabling scalable, production-ready solutions. As a trusted advisor to global OEMs, Mahaveer brings deep domain knowledge and a strategic perspective to help organizations modernize engineering processes and achieve operational excellence.
This event is part of a series of related topics. View the full list of events in this series.
