PATENT CLAIM ANALYSIS

Application Number: 15950009
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["700", "034000"]

Abstract:
An extremum-seeking control system includes a plant operable to affect a variable state or condition of a building and an extremum-seeking controller. The extremum-seeking controller is configured to provide a control input to a plant and receive a performance variable as a first feedback from the plant. The plant uses the control input to affect the performance variable. The extremum-seeking controller is configured to receive a constrained variable as a second feedback from the plant and calculate a performance penalty by applying a penalty function to the constrained variable. The extremum-seeking controller is further configured to modify the performance variable with the performance penalty to generate a modified cost function, estimate a gradient of the modified cost function with respect to the control input, and drive the gradient of the modified cost function toward zero by modulating the control input.

Claim (Index 13):
The method of  claim 12 , wherein calculating the performance penalty comprises:\n calculating a value of the deadband function based on the constrained variable to generate a deadband value; and calculating the square or absolute value of the deadband value.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.72222
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15461222', '15448179', '15476465', '15284468', '15080435']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4758445853019894
- 35 USC 102 Novelty (BERT): 0.5481079546929957
- Combined Prediction Score: 0.48307092224109
- Mean Citation Score: 391.463088
- Max Citation Score: 462.59933
- Similarity Product: 259.91769789701584

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test