München, Germany

Martin Schlang


Average Co-Inventor Count = 3.3

ph-index = 5

Forward Citations = 77(Granted Patents)


Location History:

  • Munchen, DE (1998)
  • Munich, DE (1990 - 2004)
  • München, DE (2002 - 2004)

Company Filing History:


Years Active: 1990-2004

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6 patents (USPTO):Explore Patents

Title: Inventor Martin Schlang: Pioneering Innovations in Steelworks Control

Introduction

Martin Schlang, a notable inventor based in München, Germany, has made significant contributions to the field of industrial process control, particularly in steelworks. With a portfolio of six patents, Schlang is recognized for his innovative approaches that integrate advanced technologies such as neural networks to enhance efficiency in manufacturing processes.

Latest Patents

Among Schlang's latest patents is a groundbreaking method for controlling and pre-setting a steelworks or parts of a steelworks. This method utilizes a model of the rolling stand or rolling mill train, which is controlled and preconfigured with the help of a neural network. This model adjusts its parameters according to the actual conditions of the rolling stand or mill train, particularly regarding the properties of the steel strip. Another notable patent focuses on a learning process for a neural network designed for the open-loop or closed-loop control of industrial processes with time-variable parameters. This innovative approach allows the neural network to be trained with current process data, creating a dynamic model that adapts to changing conditions.

Career Highlights

Martin Schlang has had an impressive career, working with renowned companies such as Siemens Aktiengesellschaft, where he honed his expertise in industrial automation and control systems. His experience in these leading firms has facilitated his growth as an inventor, allowing him to develop practical solutions to complex engineering challenges.

Collaborations

Throughout his career, Schlang has collaborated with distinguished professionals in the field, including Otto Gramckow and Frank-Oliver Malisch. These collaborations have not only enriched Schlang's work but have also contributed to advancements in industrial technology as a whole.

Conclusion

Martin Schlang's innovative spirit and dedication to refining industrial processes through the application of neural networks illustrate the transformative potential of modern technology in manufacturing. As he continues to develop new methods and strategies, his work will undoubtedly pave the way for further advancements in the industry.

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