CARLOS ALBERTO SMITH, MD
Osteopathic Medicine at Dr Martin Luther King Jr Blvd, Tampa, FL

License number
Florida ME93609
Category
Osteopathic Medicine
Type
Emergency Medicine
Address
Address 2
3001 W Dr Martin Luther King Jr Blvd, Tampa, FL 33607
PO Box 10030, Daytona Beach, FL 32120
Phone
(813) 870-4000
(386) 274-7800
(386) 274-7801 (Fax)

Professional information

Carlos A Smith Photo 1

Dr. Carlos A Smith, Tampa FL - MD (Doctor of Medicine)

Specialties:
Emergency Medicine
Address:
Emergency Medical Assocs Of FL
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
(813) 874-5707 (Phone)
Certifications:
Emergency Medicine, 2007
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Emergency Medical Assocs Of FL
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
Saint Joseph's Hospital
3001 West Dr Martin Luther King Jr Blvd, Tampa 33607


Carlos Smith Photo 2

Carlos Smith - Holly Hill, FL

Work:
Inserection - Atlanta, GA
Assistant Manager
Hardee's Restaurant - Jacksonville, FL
Cashier/
Highland Park Community College - Detroit, MI
Cameraman
Education:
Michigan Sate University
BA in Business
Michigan Computer Institute Redford High School
Business Management


Carlos Smith Photo 3

Carlos Smith, Tampa FL - Teacher

Specialties:
Engineering
Work:
University of South Florida - Tampa FL


Carlos Smith Photo 4

System And Method To Avoid Oscillatory Behavior In Proportional-Integral-Derivative (Pid) Controllers By Using Fuzzy Inference And Modified/Active Damping

US Patent:
7809668, Oct 5, 2010
Filed:
Nov 21, 2007
Appl. No.:
11/943720
Inventors:
Carlos A. Smith - Tampa FL, US
Marco E. Sanjuan - Barranquilla, CO
Assignee:
Universidad del Norte - Barranquilla
University of South Florida - Tampa FL
International Classification:
G06F 17/00
US Classification:
706 47, 706 1, 706 8, 700 42, 700 50
Abstract:
An instability avoidance module that can be implemented in SISO PID control loops to automatically adjust the controller's tuning parameters when undesired oscillatory behavior is monitored. This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning. Tests in nonlinear process models were performed, demonstrating that this Fuzzy Supervisor—Type 1 (non-intrusive) provides the PID controller the ability to adapt its tuning to eliminate the observed oscillatory behavior.