Michael P O'Connell

US Patent:

8271140, Sep 18, 2012

Filed:

Aug 25, 2006

Appl. No.:

11/467417

Inventors:

Brian James Cagno - Tucson AZ, US
Kenton Coleman Green - Cary NC, US
Carl Evan Jones - Tucson AZ, US
Michael Desmond O'Connell - Rochester MN, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G05D 19/02
G05B 21/00

US Classification:

700280, 702 56

Abstract:

A periodic rotational vibration check for storage devices to compensate for varying loads is disclosed. A variable representing rotational vibration status is maintained in a rotational vibration log. The variable is processed to determine whether a storage device exhibits a rotational vibration issue. Workload analysis is performed to identify a change to the workloads run on physically separate hardware to resolve the rotational vibration issue and thus eliminate the need for more expensive hardware.

US Patent:

20130033784, Feb 7, 2013

Filed:

Aug 3, 2012

Appl. No.:

13/566823

Inventors:

Brian James Cagno - Tucson AZ, US
Kenton Coleman Green - Cary NC, US
Carl Evan Jones - Tucson AZ, US
Michael Desmond O'Connell - Rochester MN, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G11B 33/08

US Classification:

360 9719, G9B 33024

Abstract:

A periodic rotational vibration check for storage devices to compensate for varying loads is disclosed. A variable representing rotational vibration status is maintained in a rotational vibration log. The variable is processed to determine whether a storage device exhibits a rotational vibration issue. Workload analysis is performed to identify a change to the workloads run on physically separate hardware to resolve the rotational vibration issue and thus eliminate the need for more expensive hardware.

US Patent:

20200183339, Jun 11, 2020

Filed:

Dec 10, 2019

Appl. No.:

16/709775

Inventors:

- Pasadena CA, US
Xichen Shi - Pasadena CA, US
Michael O'Connell - Pasadena CA, US
Animashree Anandkumar - Pasadena CA, US
Yisong Yue - Glendale CA, US

Assignee:

California Institute of Technology - Pasadena CA

International Classification:

G05B 13/02
G06N 3/08
G06N 3/04

Abstract:

Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.