17933911. TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS simplified abstract (NVIDIA Corporation)
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 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 17933911 titled 'TUNING OF CONTROL PARAMETERS FOR SIMULATION SYSTEMS AND APPLICATIONS
Simplified Explanation
The present disclosure relates to a method of automated tuning of control parameters using a search algorithm to obtain parameter sets that determine how a controller responds to a changing environment.
- The method involves obtaining one or more parameter sets from a search algorithm.
- The parameter sets include a vector parameter with a vector of values.
- During operation of the controller, a value from the vector of values for the vector parameter is selected based on the changing variable.
- The method includes ordering the vector of values for the vector parameter and simulating controller operations using the ordered parameter sets.
Potential Applications
This technology could be applied in various industries such as robotics, manufacturing, and autonomous vehicles where controllers need to adapt to changing environments.
Problems Solved
This technology solves the problem of manual tuning of control parameters, which can be time-consuming and inefficient, by automating the process based on changing variables.
Benefits
The automated tuning of control parameters improves the efficiency and performance of controllers in dynamic environments, leading to better overall system performance.
Potential Commercial Applications
Potential commercial applications of this technology include industrial automation systems, smart grid management, and adaptive control systems for vehicles.
Possible Prior Art
One possible prior art for this technology could be the use of machine learning algorithms for tuning control parameters in dynamic systems.
What are the potential limitations of this automated tuning method in real-world applications?
The potential limitations of this automated tuning method in real-world applications could include the complexity of the control system, the need for accurate modeling of the environment, and the computational resources required for the search algorithm.
How does this automated tuning method compare to traditional manual tuning methods in terms of performance and efficiency?
This automated tuning method offers the advantage of faster and more efficient tuning of control parameters compared to traditional manual methods, leading to improved system performance and adaptability.
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.
