Philip D Loewen

Title: The Innovations of Philip D. Loewen

Introduction

Philip D. Loewen is a notable inventor based in Vancouver, Canada. He has made significant contributions to the field of reinforcement learning and industrial process monitoring. With a total of 6 patents, his work reflects a deep understanding of complex systems and innovative problem-solving techniques.

Latest Patents

One of his latest patents is titled "Method and system for directly tuning PID parameters using a simplified actor-critic approach to reinforcement learning." This invention involves an actor-critic framework that includes both an actor network and a critic network. The controller, which is embedded in this framework, utilizes reinforcement learning-based tuning methods, including anti-windup tuning.

Another significant patent is "Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring." This method focuses on obtaining operating data from a cross-directional industrial process controlled by model-based process controllers. It includes a training period for closed-loop model identification and a testing period to detect mismatches between actual and modeled behaviors of the industrial process.

Career Highlights

Philip has worked with prominent companies such as Honeywell GmbH and Honeywell International Inc. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, enhancing industrial processes and control systems.

Collaborations

Throughout his career, Philip has collaborated with talented individuals, including Qiugang Lu and Michael Forbes. These partnerships have contributed to the development of his groundbreaking patents and innovations.

Conclusion

Philip D. Loewen's contributions to the fields of reinforcement learning and industrial process monitoring showcase his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving industrial processes.