PATENT CLAIM ANALYSIS

Application Number: 15927809
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["700", "276000"]

Abstract:
A system for controlling an operation of an air-conditioning system generating airflow in a conditioned environment, includes a set of sensors to produce measurements of the airflow in a set of points in the conditioned environment, a memory to store a model of the airflow dynamics including a combination of a first term transitioning a previous state of the airflow to a current state of the airflow and a second term assisting the transitioning, an observer to estimate the current state of the airflow in the conditioned environment by transitioning the previous state of the airflow forward in time according to the model of airflow dynamics to reduce the observation error in the current state of the airflow, and a controller to control the air-conditioning system based on the current state of the airflow. The first term in the model includes a projection of a physical model of the airflow on a finite-dimensional space. The physical model of the airflow includes physical parameters of the conditioned environment and the projection preserves the physical parameters of the conditioned environment in the first term. The second term includes a function of the range of the bounded uncertainty of the physical parameter, a negative gain, and an observation error between the measurements of the airflow in the set of points and estimations of the airflow in the set of points according to the model of the airflow.

Claim (Index 6):
The system of  claim 5 , wherein the energy function is a Lyapunov function of an integral of a square of the observation error.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 3.58824
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14640052', '14714428', '14552788', '15865419', '14299296']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4056519201410743
- 35 USC 102 Novelty (BERT): 0.5401614702878227
- Combined Prediction Score: 0.4191028751557492
- Mean Citation Score: 260.280038
- Max Citation Score: 390.39447
- Similarity Product: 264.9645080727178

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

Dataset: test