Nvidia corporation (20240094685). TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS simplified abstract
Contents
- 1 TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this method compare to traditional manual tuning of control parameters?
- 1.11 What are the limitations of this automated tuning method?
- 1.12 Original Abstract Submitted
TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Mohammed Nasir of San Jose CA (US)
TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240094685 titled 'TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS
Simplified Explanation
The abstract describes a method for automated tuning of control parameters using a search algorithm to obtain parameter sets that determine how a controller responds to changing variables in an environment. The method involves selecting values from a vector parameter based on the changing variables, ordering the vector of values, and simulating controller operations with the ordered values.
- The method involves obtaining parameter sets from a search algorithm.
- The parameter sets include a vector parameter with a vector of values.
- Values from the vector parameter are selected based on changing variables.
- The vector of values is ordered and used to simulate controller operations.
Potential Applications
The technology could be applied in industries where precise control of systems is crucial, such as manufacturing, robotics, and automation.
Problems Solved
This technology solves the challenge of manually tuning control parameters for optimal performance in dynamic environments.
Benefits
The automated tuning method saves time and resources by efficiently adjusting control parameters to adapt to changing variables.
Potential Commercial Applications
The technology could be utilized in industries such as automotive manufacturing, industrial automation, and smart infrastructure development.
Possible Prior Art
One possible prior art could be the use of machine learning algorithms for parameter tuning in control systems.
Unanswered Questions
How does this method compare to traditional manual tuning of control parameters?
The article does not provide a direct comparison between automated tuning and traditional manual tuning methods.
What are the limitations of this automated tuning method?
The article does not address any potential limitations or challenges that may arise when implementing this automated tuning method.
Original Abstract Submitted
embodiments of the present disclosure relate to a method of automated tuning of control parameters. in some implementations, the method may include obtaining, from a search algorithm, one or more parameter sets that determine how a controller responds to an environment with at least one changing variable. in these and other implementations, at least one of the parameter sets may include a vector parameter that includes a vector of values. in these and other implementations, a value selected from the vector of values for the vector parameter during operation of the controller may be based on the at least one changing variable. in some implementations, the method may include ordering the vector of values for the vector parameter of the parameter sets and simulating at least one operation of the controller using the parameter sets with the ordered vector of values for the vector parameter.
