Nvidia corporation (20240190435). DISTURBANCE COMPENSATION USING CONTROL SYSTEMS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS simplified abstract
Contents
DISTURBANCE COMPENSATION USING CONTROL SYSTEMS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Mohammed Nasir of San Jose CA (US)
Vishal Murali of Santa Clara CA (US)
DISTURBANCE COMPENSATION USING CONTROL SYSTEMS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240190435 titled 'DISTURBANCE COMPENSATION USING CONTROL SYSTEMS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
The present disclosure involves determining the observed state of a system using sensor data and generating disturbance data based on comparing the estimated state with the observed state. It also includes updating disturbance terms in a state space formulation and generating a control command for system operations based on the state space formulation and plan data.
- The innovation involves a method for monitoring and controlling a system by analyzing sensor data and generating disturbance data to improve system performance.
- The technology updates disturbance terms in a state space formulation to enhance the accuracy of control commands for system operations.
- By comparing estimated and observed states of the system, the innovation enables more precise control commands based on plan data for completing tasks efficiently.
Potential Applications: - This technology can be applied in various industries such as manufacturing, robotics, and autonomous systems for real-time monitoring and control. - It can be used in smart buildings, transportation systems, and healthcare equipment to optimize operations and improve overall performance.
Problems Solved: - Enhances the accuracy of control commands in dynamic systems. - Improves system efficiency and performance by updating disturbance terms based on observed data. - Enables real-time monitoring and control of complex systems.
Benefits: - Increased system efficiency and performance. - Enhanced accuracy in control commands for better task completion. - Real-time monitoring and control capabilities for various industries.
Commercial Applications: Title: Advanced System Monitoring and Control Technology for Enhanced Performance This technology can be utilized in industrial automation, smart infrastructure, and autonomous vehicles to optimize operations and improve productivity. It has the potential to revolutionize the way systems are monitored and controlled in various sectors.
Prior Art: Further research can be conducted in the field of control systems, sensor data analysis, and disturbance modeling to explore existing technologies related to this innovation.
Frequently Updated Research: Stay updated on advancements in control systems, sensor technologies, and disturbance modeling to enhance the performance and applicability of this technology.
Questions about Advanced System Monitoring and Control Technology: 1. How does this technology improve system efficiency and performance? - This technology enhances system efficiency by updating disturbance terms based on observed data, leading to more accurate control commands for system operations. 2. What industries can benefit from the application of this advanced monitoring and control technology? - Industries such as manufacturing, robotics, smart infrastructure, and healthcare can benefit from the real-time monitoring and control capabilities of this technology.
Original Abstract Submitted
the present disclosure relates to determining an observed state of a system based at least on sensor data generated using one or more sensors of the system. the present disclosure further relates to generating disturbance data based at least on comparing an estimated state of the system with the observed state of the system. the present disclosure further relates to updating one or more disturbance terms of a state space formulation based at least on the disturbance data. the present disclosure further relates to generating, based at least on the state space formulation, a control command that directs one or more operations of the system according to plan data indicative of a plan for completing one or more tasks of the system.
