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Dale Edward Seborg

from Santa Barbara, CA
Age ~83
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Also known as:
Dale E Seborg, Dale Loraine Seborg, Dale E Edward, Edward E Dale, Edward S Dale
Phone and address:
437 Northridge Rd, Santa Barbara, CA 93105
(805) 687-2099
Related to:
Elizabeth A Seborg, 51Judith Lee Seborg, 81Judy P Sullivan, 94Loraine M SeborgSusan E Godfrey, 75Susan M Seborg, 49G W GodfreyJlg G Seborg, 81John P Sullivan, 94
Connected to:
Mary L Sebourn, 91Miranda L Sebourn, 39Ryan D Sebourn, 41Patricia A Sebranek, 59Todd R Sebranek, 58Ryan J Sebrechts, 42Beth Sebree, 72Chad A Sebree, 47Clarissa M Sebree, 42Eric S Sebree, 54

Dale Seborg Phones & Addresses

  • 437 Northridge Rd, Santa Barbara, CA 93105 (805) 687-2099
  • 5345 Agana Dr, Santa Barbara, CA 93111 (805) 964-9178
  • Los Angeles, CA
  • Wilmington, DE
  • 437 Northridge Rd, Santa Barbara, CA 93105

Work

Company: Uc santa barbara Jul 1977 Position: Professor emeritus and research professor

Education

Degree: Ph.D. School / High School: Princeton University 1964 to 1969 Specialities: Chemical Engineering

Skills

Chemical Engineering • R • Research • Applied Sciences • Engineering • C • C++

Emails

d***[email protected]

Industries

Higher Education

Resumes

Resumes

Dale Seborg Photo 1

Dale Seborg

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Location:
San Diego, CA
Industry:
Higher Education
Work:
UC Santa Barbara since Jul 1977
Professor Emeritus and Research Professor
UC Santa Barbara 1977 - 2010
Professor
University of Alberta Sep 1968 - Jul 1977
Assistant Professor - Professor
Education:
Princeton University 1964 - 1969
Ph.D., Chemical Engineering
Skills:
Chemical Engineering
R
Research
Applied Sciences
Engineering
C
C++

Publications

Us Patents

Automatic Detection Of Excessively Oscillatory Feedback Control Loops.

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US Patent:
57197881, Feb 17, 1998
Filed:
Apr 18, 1995
Appl. No.:
8/423976
Inventors:
Dale E. Seborg - Santa Barbara CA
Yu-Ting Tina Miao - Alameda GA
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
G05B 1302
US Classification:
364554
Abstract:
Automatic detection of excessive oscillations in feedback control loops of a completely general nature can be achieved by generating an autocorrelation function of the controlled variable or control error in the control loop. From the pattern of the autocorrelation, a decay ratio which is a function of the depth of the first minimum and height of the first maximum of the oscillation in the autocorrelation function can be generated as a measure of the oscillation in the control loop. When the decay ratio exceeds a predetermined threshold, an alarm or report can be provided indicating that an excessive oscillation has occurred and to what degree. The source of the oscillation, that is whether it is within the monitored control loop or from a source external to the control loop can then be determined and the necessary remedy applied including a step input signal to the final control element in the control loop.

Model-Based Personalization Scheme Of An Artificial Pancreas For Type I Diabetes Applications

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US Patent:
20200078516, Mar 12, 2020
Filed:
Sep 17, 2019
Appl. No.:
16/574076
Inventors:
- Oakland CA, US
Eyal Dassau - Goleta CA, US
Dale E. Seborg - Santa Barbara CA, US
Joon Bok Lee - Santa Barbara CA, US
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
A61M 5/172
A61F 2/02
Abstract:
A model-based control scheme consisting of either a proportional-integral-derivative (IMC-PID) controller or a model predictive controller (MPC), with an insulin feedback (IFB) scheme personalized based on a priori subject characteristics and comprising a lower order control-relevant model to obtain PID or MPC controller for artificial pancreas (AP) applications.

Model-Based Personalization Scheme Of An Artificial Pancreas For Type I Diabetes Applications

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US Patent:
20150306314, Oct 29, 2015
Filed:
Jul 6, 2015
Appl. No.:
14/792524
Inventors:
- Oakland CA, US
Eyal Dassau - Goleta CA, US
Dale E. Seborg - Santa Barbara CA, US
Joon Bok Lee - Santa Barbara CA, US
Assignee:
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA
International Classification:
A61M 5/172
Abstract:
A model-based control scheme consisting of either a proportional-integral-derivative (IMC-PID) controller or a model predictive controller (MPC), with an insulin feedback (IFB) scheme personalized based on a priori subject characteristics and comprising a lower order control-relevant model to obtain PID or MPC controller for artificial pancreas (AP) applications.

Isbn (Books And Publications)

Multivariable Computer Control: A Case Study

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Author

Dale E. Seborg

ISBN #

0444110399

Control profile
Dale Edward Seborg from Santa Barbara, CA, age ~83 Get Report