PATENT CLAIM ANALYSIS

Application Number: 15944597
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-08
Patent Classification: ["700", "028000"]

Abstract:
A method for devising an optimum control policy of a controller for controlling a system includes optimizing at least one parameter that characterizes the control policy. A Gaussian process model is used to model expected dynamics of the system. The optimization optimizes a cost function which depends on the control policy and the Gaussian process model with respect to the at least one parameter. The optimization is carried out by evaluating at least one gradient of the cost function with respect to the at least one parameter. For an evaluation of the cost function a temporal evolution of a state of the system is computed using the control policy and the Gaussian process model. The cost function depends on an evaluation of an expectation value of a cost function under a probability density of an augmented state at time steps.

Claim (Index 5):
The method according to  claim 3 , wherein the augmented state and/or the desired state are Gaussian random variables.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 91.0
- Lexical Diversity: 2.35484
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12067141', '15788117', '11833053', '15123706', '13554054']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3694768622784616
- 35 USC 102 Novelty (BERT): 0.4984750199335796
- Combined Prediction Score: 0.3823766780439734
- Mean Citation Score: 159.263734
- Max Citation Score: 167.29097
- Similarity Product: 98.72562899179458

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

Dataset: test