The Impact of Automatic Control Research on Industrial Innovation Enabling a Sustainable Future

Bring together the theory and practice of control research with this innovative overview

Automatic control research focuses on subjects pertaining to the theory and practice of automation science and technology subjects such as industrial automation, robotics, and human-machine interaction. With each passing year, these subjects become more relevant to researchers, policymakers, industrialists, and workers alike. The work of academic control researchers, however, is often distant from the perspectives of industry practitioners, creating the potential for insights to be lost on both sides.

The Impact of Automatic Control Research on Industrial Innovation seeks to close this distance, providing an industrial perspective on the future of control research. It seeks to outline the possible and ongoing impacts of automatic control technologies across a range of industries, enabling readers to understand the connection between theory and practice. The result is a book that combines scholarly and practical understandings of industrial innovations and their possible role in building a sustainable world.

The Impact of Automatic Control Research on Industrial Innovation readers will also find:

• Insights on industrial and commercial applications of automatic control theory.
• Detailed discussion of industrial sectors including power, automotive, production processes, and more.
• An applied research roadmap for each sector.

The Impact of Automatic Control Research on Industrial Innovation is a must-own for both control researchers and control engineers, in both theoretical and applied contexts, as well as for graduate or continuing education courses on control theory and practice.

Editorial board: Silvia Mastellone, University of Applied Science Northwestern Switzerland; Alex van Delft, vanDelft.it, DSM; Tariq Samad, University of Minnesota; Iven Mareels, Federation University Australia, IBM; Scott Bortoff, Mitsubishi Electric Research Labs; Stefano Di Cairano, Mitsubishi Electric Research Labs; Alisa Rupenyan, ETHZ.

Silvia Mastellone, PhD, is Professor for Signals and Systems at the Institute for Electric Power Systems in the School of Engineering, University of Applied Sciences Northwestern Switzerland (FHNW). She is one of the principal investigators and Equal Opportunity Officer in the NCCR-Automation, and has published widely on various aspects of control theory.

Alex van Delft, PhD, is co-founder of VanDelft.IT, the Netherlands, a technology company whose portfolio includes the areas of process control and automation, machine learning, and data engineering. Until 2020 he worked as Corporate Manager Proces Control for Royal DSM in the Netherlands. He is also an active member of the Industry Committee of the International Federation of Automatic Control.

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