18238337. CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM simplified abstract (Mitsubishi Electric Corporation)
Contents
- 1 CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM
Organization Name
Mitsubishi Electric Corporation
Inventor(s)
CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18238337 titled 'CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM
Simplified Explanation
The abstract describes a control device that can effectively learn how to control a target based on its current state. Here are the key points:
- The control device acquires state data that represents the current state of the control target.
- It identifies the category to which the state belongs among multiple predefined categories.
- A reward value for a specific control action is calculated based on the state category and the state data.
- The control device learns the appropriate control action based on the state data and reward value.
Potential Applications
This technology has potential applications in various fields where control of a target is required, such as:
- Robotics: The control device can be used to improve the control of robotic systems, allowing them to adapt to different states and environments.
- Autonomous Vehicles: It can enhance the control algorithms of self-driving cars, enabling them to respond better to different driving conditions.
- Industrial Automation: The control device can optimize the control of manufacturing processes, leading to increased efficiency and productivity.
Problems Solved
The control device addresses the following problems:
- Lack of Adaptability: Traditional control systems may struggle to adapt to changing states or environments, leading to suboptimal performance.
- Manual Tuning: Control parameters often need to be manually adjusted, which can be time-consuming and may not result in optimal control.
- Limited Learning Capability: Existing control systems may have limited learning capabilities, making it difficult to improve control performance over time.
Benefits
The use of this control device offers several benefits:
- Improved Control Performance: By learning and adapting to different states, the control device can achieve better control performance in various scenarios.
- Automatic Learning: The control device can automatically learn the appropriate control actions based on the state data and reward values, reducing the need for manual tuning.
- Enhanced Efficiency: With better control, the technology can optimize processes, leading to increased efficiency and potentially reducing costs.
Original Abstract Submitted
A control device capable of more appropriately learning a control detail of a control target in accordance with a state of the control target is provided. A control device according to the present disclosure includes a state data acquisition unit to acquire state data indicating a state of a control target, a state category identification unit to identify a state category to which a state indicated by the state data belongs among a plurality of state categories indicating classifications of states of the control target on the basis of the state data, a reward generation unit to calculate a reward value of a control detail for the control target on the basis of the state category and the state data, and a control learning unit to learn the control detail on the basis of the state data and the reward value.
