Martin KeaneChicago, IL

6360191, Mar 19, 2002

Jan 5, 1999

09/225643

John R. Koza - Los Altos Hills CA, 94022
David Andre - Menlo Park CA
Martin A. Keane - Chicago IL

John R. Koza - Los Altos Hills CA

G06G 748

703 6, 703 2, 703 7, 703 14, 703 22, 716 1, 716 2

An automated design process and apparatus for use in designing complex structures, such as circuits, to satisfy prespecified design goals, using genetic operations. The present invention uses a population of entities which may be evolved to generate structures that may potentially satisfy the design goals. The behavior of such generated structures is evaluated in view of the design goals, and those structures more closely meeting the design goals are evolved further until a structure is generated that either meets the prespecified design goal or some other process completion criteria. In this manner, a design complex structure may be obtained.

6532453, Mar 11, 2003

Apr 12, 1999

09/290521

John R. Koza - Los Altos Hills CA, 94022
David Andre - Menlo Park CA
Martin A. Keane - Chicago IL

John R. Koza - Los Alto Hills CA

G06F 1518

706 13

The present invention is a genetic programming problem solver that automatically generates computer programs to solve problems. The genetic programming problem solver incorporates architecture-altering operations. In one embodiment, the genetic programming problem solver uses architecture-altering operations for automatically defined functions and loops, together with indexed memory, to generate the resulting computer programs. In a second embodiment, the genetic programming problem solver uses architecture-altering operations of automatically defined function, loops, recursions, and stores to generate the resulting computer programs.

6564194, May 13, 2003

Sep 10, 1999

09/393863

John R. Koza - Los Altos Hills CA, 94022
Martin A. Keane - Chicago IL
Jessen Yu - Sunnyvale CA
William Mydlowec - Sunnyvale CA

John R. Koza - Los Altos Hills CA

G06N 312

706 13, 706 52, 364472, 364476

A general automated method for synthesizing the design of both the topology and parameter values for controllers is described. The automated method automatically makes decisions concerning the total number of signal processing blocks to be employed in the controller, the type of each signal processing block, the topological interconnections between the signal processing blocks, the values of all parameters for the signal processing blocks, and the existence, if any, of internal feedback between the signal processing blocks within the controller. The general automated method can simultaneously optimize prespecified performance metrics (such as minimizing the time required to bring the plant outputs to the desired values as measured by the integral of the time-weighted absolute error or the integral of the squared error), satisfy time-domain constraints (such as overshoot, disturbance rejection, limits on control variables, and limits on state variables), and satisfy frequency domain constraints (bandwidth).

6847851, Jan 25, 2005

Jul 12, 2002

10/194190

Martin A. Keane - Chicago IL, US
John R. Koza - Los Altos Hills CA, US
Matthew J. Streeter - San Jose CA, US

G05B 1302

700 42, 700 28, 700 37, 700 41, 318609, 318610

An apparatus is provided for controlling a system to achieve a specified response. In one embodiment, the apparatus is a proportional, integrative, and derivative (PID) controller having a proportional element, an integrative element, and a derivative element coupled together. The elements respond to a reference signal and generate a control signal that causes a plant to generate a plant output. The proportional element has a gain element where the gain is a function of the ultimate gain of the plant (K) and the ultimate period of the plant (T). The controllers may also be embodied in non-PID controllers that share common elements, such as the use of: (a) Astrom-Hagglund controller output as an input for a subsequent controller; (b) internal feedback; and (c) a subsequent controller that performs a subtraction operation to generate the difference between the output of the Astrom-Hagglund controller and the output of the subsequent controller.

7117186, Oct 3, 2006

Jan 30, 2003

10/355443

John R. Koza - Los Altos Hills CA, US
Martin A. Keane - Chicago IL, US
Jessen Yu - Sunnyvale CA, US
William Mydlowec - Sunnyvale CA, US

G08N 5/00

706 13, 706 45

A general automated method for synthesizing the design of both the topology and parameter values for controllers is described. The automated method automatically makes decisions concerning the total number of signal processing blocks to be employed in the controller, the type of each signal processing block, the topological interconnections between the signal processing blocks, the values of all parameters for the signal processing blocks, and the existence, if any, of internal feedback between the signal processing blocks within the controller. The general automated method can simultaneously optimize prespecified performance metrics (such as minimizing the time required to bring the plant outputs to the desired values as measured by the integral of the time-weighted absolute error or the integral of the squared error), satisfy time-domain constraints (such as overshoot, disturbance rejection, limits on control variables, and limits on state variables), and satisfy frequency domain constraints (bandwidth).

7695361, Apr 13, 2010

Sep 10, 2002

10/238313

Clifton E. Lind - Austin TX, US
Gary L. Loebig - Austin TX, US
Jefferson C. Lind - Austin TX, US
Joseph R. Enzminger - Austin TX, US
John E. Padgett - Austin TX, US
Martin A. Keane - Chicago IL, US
David M. Brandt - San Antonio TX, US

Multimedia Games, Inc. - Austin TX

A63F 3/06
A63F 13/10
G06Q 50/00
G06Q 60/00
A63F 9/24

463 19, 463 22, 463 25

A pattern probability () is determined for each of a number of target patterns () achievable in a bingo-type game. Each pattern probability () comprises a probability of achieving the respective target pattern () in the bingo-type game. Different pattern sets are then associated with each different prize level in a desired prize distribution. The target patterns () and their respective pattern probabilities () are assigned or mapped to the different pattern sets so that the probability of achieving any target pattern included in a pattern set comprises a value approximating the desired probability of the prize level with which the pattern set is associated.

8087990, Jan 3, 2012

Oct 19, 2007

11/875697

Clifton E. Lind - Austin TX, US
Brendan M. O'Connor - Austin TX, US
Gary L. Loebig - Austin TX, US
Rodney L. Willard - Flower Mound TX, US
Naveen Malhotra - Murphy TX, US
Martin A. Keane - Chicago IL, US
Joseph R. Enzminger - Austin TX, US
Jefferson C. Lind - Austin TX, US
Gordon T. Graves - Austin TX, US

Multimedia Games, Inc. - Austin TX

A63F 9/24

463 19

A method for conducting bingo games includes using a server to collect game play requests from a plurality of electronic player stations. The server determines if a group of the collected game play requests meets one or more predefined conditions for establishing a quorum, and if so conducts a game with the group of game play requests. Even after the game is started, the server continues to collect game play requests in preparation for conducting additional games. When enough game play requests are collected, the server starts the next game, even if previous games are still in progress.

8191668, Jun 5, 2012

Jan 26, 2009

12/320421

Martin Joseph Keane - Oak Lawn IL, US
Scott Ira Archey - Joliet IL, US
Jeffery David Lind - Naperville IL, US
Jerry Edward Berkeland - Waterman IL, US
Paul Frederick Olsen - Chillicothe IL, US
Tazio Stephan Grivetti - Chillicothe IL, US
Jack Albert Merchant - Peoria IL, US
Christopher Martin Pogioli - Mackinaw IL, US

Caterpillar Inc. - Peoria IL

B60K 13/04

180296, 180309

An exhaust system is disclosed. The exhaust system may have an emissions control system including a mount and at least one exhaust treatment device secured to the mount. The exhaust system may also have a mounting assembly including a platform and a base frame. The emissions control system may be secured to the platform. The mounting assembly may be configured to position the emissions control system substantially adjacent to a power source. The platform may be movable relative to the base frame between a first position and a second position.