Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tail

Although batch processing has existed for a long time, designing these processes and unit operations has been considered an onerous task that required computati

Historically batch control systems were designed individually to match a specific arrangement of plant equipment. They lacked the ability to convert to new prod

Illustrating techniques in model development, signal processing, data reconciliation, process monitoring, quality assurance, intelligent real-time process super

Reduced time to market, lower production costs, and improved flexibility are critical success factors for batch processes. Their ability to handle variations in