Company Filing History:
Years Active: 1995-1997
Title: Kent E Heckendoorn: Innovator in Control Systems
Introduction
Kent E Heckendoorn is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of control systems, particularly through his innovative use of adaptive neural networks. With a total of 2 patents, his work has paved the way for advancements in optimizing controlled variables in various processes.
Latest Patents
One of his latest patents is titled "Control system using an adaptive neural network for target and path." This control system comprises four major components: a target optimizer, a path optimizer, a neural network adaptation controller, and a neural network. The target optimizer focuses on optimizing controlled variables to achieve the most economically desirable outputs while adhering to operating constraints. The neural network plays a crucial role by receiving multiple settings for manipulated and disturbance variables. The optimization process is iterative, adjusting manipulated variable values until an optimal solution is reached. The path optimizer then utilizes these values to adjust manipulated variables for achieving the target output. This innovative approach allows for continuous sampling and training of the neural network, ensuring adaptability to dynamic conditions.
Career Highlights
Throughout his career, Kent has worked with prominent companies such as Texaco Inc. and Neuralware, Inc. His experience in these organizations has contributed to his expertise in developing advanced control systems.
Collaborations
Kent has collaborated with notable individuals in his field, including Naveen V Bhat and William B Braden. These collaborations have further enriched his work and contributed to the development of innovative solutions in control systems.
Conclusion
Kent E Heckendoorn's contributions to control systems through his patents and collaborations highlight his role as an influential inventor. His innovative approaches continue to impact the field positively.