METHOD AND APPARATUS USING A DECISION TREE IN AN ADJUNCT SYSTEM COOPERATING WITH ANOTHER PHYSICAL SYSTEM

Patent №

US 5,481,649

Granted

1996-01-02

Filed 1993

Owner

UNIVERSITY OF TENNESSEE RESEARCH CORPORATION, THE

+2 more

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08028662

A method and apparatus for use in an adjunct system, such as a control system, operating in cooperation with a linear or non-linear physical system, such as a motor. The physical system performs a function and produces data that are monitored, and attribute values, which may be continuous valued, and system state information are produced from the data. For example, the attributes may include various motor currents and the system state information may include the motor flux. A controller and a decision tree produce decisions and commands to assist the physical system in performing its function. Certain decisions made by the decision tree are identified as being bad decisions, and the decision tree is adapted to produce a decision tree that has improved performance. Preferably, the adaptation method maintains the size of the adapted decision tree within a constant limit during the adaptation, and the adaptation is repetitively performed to successively produce new currently active decision trees.

Machine learningPlanningG05B 13/028Y10S 706/904Y10S 706/906

AI classification

Machine learning1.00
Planning1.00
AI hardware0.20
Evolutionary computation0.05
Vision0.03
Natural language0.00
Knowledge representation0.00
Speech0.00

Ownership

UNIVERSITY OF TENNESSEE RESEARCH CORPORATION, THE

assignment · 65100807

BIRDWELL, J. DOUGLAS

assignment · 100180317

HORN, ROGER D.

assignment · 100180317

Assignors

BIRDWELL, J. DOUGLAS, HORN, ROGER D.

On an employer assignment, the assignors are typically the inventors.

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