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For the Inventor, By the Inventor

Vancouver, Canada

Johan Backstrom

USPTO Granted Patents = 28

Average Co-Inventor Count = 3.2

ph-index = 5

Forward Citations = 208(Granted Patents)


Company Filing History:

goldMedal12 out of 3,645 
 
Honeywell G.m.b.h.
 patents
silverMedal10 out of 77 
 
Honeywell Asca Inc.
 patents
bronzeMedal5 out of 15,586 
 
Honeywell International Inc.
 patents
4. 1 out of 1 
 
Honeywell Acsa Inc.
 patent

Years Active: 2004-2022

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28 patents (USPTO):
1. 11449046 - Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring (2022-09-20),
2. 10976718 - System and method for monitoring changes in process dynamic behavior by mapping parameters to a lower dimensional space (2021-04-13),
3. 10969749 - Application of model predictive control (MPC)-based forced ramping of process input variables and process output reference trajectory design over a prediction horizon for MPC-based paper machine grade change control (2021-04-06),
4. 10890882 - Method and apparatus for designing model-based control having spatial robustness for multiple array cross-direction (CD) web manufacturing or processing systems or other systems (2021-01-12),
5. 10809674 - Model-plant mismatch detection using model parameter data clustering for paper machines or other systems (2020-10-20),
6. 10761522 - Closed-loop model parameter identification techniques for industrial model-based process controllers (2020-09-01),
7. 10678197 - Method and apparatus for designing model-based control having temporally robust stability and performance for multiple-array cross-direction (CD) web manufacturing or processing systems or other systems (2020-06-09),
8. 10459428 - Optimal closed-loop input design for identification of flat-sheet process models (2019-10-29),
9. 10386180 - Apparatus and method for measuring thin material thicknesses in inventory management applications (2019-08-20),
10. 10358771 - Method of designing model predictive control for cross directional flat sheet manufacturing processes to guarantee spatial robustness and to prevent actuator picketing (2019-07-23),
11. 10309059 - Method of designing model predictive control for cross directional flat sheet manufacturing processes to guarantee temporal robust stability and performance (2019-06-04),
12. 10180342 - Level finding using multiple search steps (2019-01-15),
13. 10174456 - Technique to improve paper machine cross-directional model predictive control performance by creating a measurement profile reference trajectory (2019-01-08),
14. 10145939 - Recursive multi-model echo curve simulation (2018-12-04),
15. 10095206 - Apparatus and method for modeling and control of cross-direction fiber orientation processes (2018-10-09),

Title: Johan Backstrom: Innovating Industrial Processes through Patents

Introduction:

Johan Backstrom, an accomplished inventor based in North Vancouver, CA, has made significant contributions to the field of industrial process control and automation. With 28 patents to his name, his innovative approaches have paved the way for improved process monitoring and dynamic behavior analysis. This article delves into Backstrom's latest patents, highlights his career achievements, explores his notable collaborations, and acknowledges his key contributions to the industry.

Latest Patents:

Among Johan Backstrom's impressive portfolio, two of his notable patents stand out:

1. "Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring" focuses on identifying discrepancies between actual and modeled behaviors of an industrial process. By utilizing support vector machine techniques, this method offers enhanced cross-directional process behavior monitoring, leading to more accurate and efficient control systems.

2. "System and method for monitoring changes in process dynamic behavior by mapping parameters to a lower dimensional space" proposes a dimension reduction technique to monitor dynamic changes in industrial processes. By analyzing process data and examining frequency responses, this approach enables the detection and analysis of changes in process behavior, providing valuable insights for effective decision-making.

Career Highlights:

Johan Backstrom has emerged as a respected figure in the industry, thanks to his numerous accomplishments. Over the course of his career, he has demonstrated exceptional expertise in process control and automation systems. Backstrom's commitment to innovation and continuous improvement has yielded groundbreaking solutions widely recognized for their reliability and accuracy. His patents clearly underline his dedication to enhancing industrial processes while ensuring optimal performance and productivity.

Collaborations:

Throughout his career, Johan Backstrom has had the opportunity to collaborate with industry leaders and experts. Notably, he has worked with prestigious companies such as Honeywell International Inc., where his inventiveness contributed to their reputation for cutting-edge technologies. Backstrom's collaborations with esteemed colleagues, including Michael Forbes and Tongwen Chen, have further enriched his achievements and fostered a collaborative environment that drives impactful innovations.

Conclusion:

Johan Backstrom's impressive patent portfolio and pioneering contributions to industrial process control and automation highlight his ingenuity and dedication. His patents, such as those focused on cross-directional process behavior monitoring and dynamic behavior analysis, showcase his ability to address critical challenges in the industry. Backstrom's career highlights and collaborations underline his commitment to collaborating with industry leaders and utilizing his expertise to revolutionize the field. As the industrial landscape continues to evolve, we eagerly anticipate further breakthroughs from this visionary inventor.

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