Distributed Control Adjustment for Variable Wireless Links
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Solution Overview
Problem
Existing control functions in distributed systems, such as vehicles and infrastructure, are designed for fixed communication conditions, which can lead to inefficiencies and potential safety risks due to varying wireless communication quality based on hardware and external conditions.
Innovation Solution
A method to determine characteristics of wireless communication and adapt control and communication parameters dynamically, using machine learning and optimization techniques, to ensure stability and flexibility in distributed systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control functions are designed for fixed communication conditions with specific frequency and parameters, then the system maintains stability and predictability, but the system cannot adapt to varying wireless communication quality and different hardware conditions
Solution Approach 1:
The patent applies dynamics by making control function parameters adjustable and adaptable based on actual communication conditions. The system transitions from fixed parameters to dynamic parameters that can be modified in response to varying wireless communication quality, different hardware configurations, and external conditions, thereby achieving both stability through controlled adaptation and versatility through condition-based parameter adjustment
Solution Approach 2:
The patent implements parameter changes by allowing control function parameters (such as frequency, timing, and communication protocols) to be dynamically adjusted based on determined communication characteristics. This enables the system to optimize performance under different conditions while maintaining reliable operation through controlled parameter modification rather than fixed settings
2Reliability
If control functions are designed for worst-case communication conditions, then the system ensures reliability under all conditions, but the system efficiency and performance degrade when communication conditions are better than expected
Solution Approach 1:
The system dynamically adjusts control function parameters based on actual communication quality assessment. When communication conditions are good, the system operates with optimized parameters for higher efficiency; when conditions deteriorate, the system adapts to maintain reliability. This dynamic approach eliminates the need to always operate at worst-case settings, thereby improving overall productivity while maintaining reliability
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor communication characteristics and use this information to adjust control function parameters. This closed-loop approach allows the system to respond to actual communication conditions rather than assuming worst-case scenarios, optimizing efficiency when conditions permit while ensuring reliability when conditions deteriorate
3Adaptability or versatility
If control function parameters are adjusted dynamically based on communication characteristics, then the system achieves flexibility and optimization, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining parameter adjustment strategies and communication quality assessment criteria. The system prepares adjustment rules and thresholds in advance, so when dynamic adjustment is needed, it follows pre-planned procedures rather than requiring complex real-time decision-making algorithms, thereby reducing system complexity while maintaining adaptability
Data Source
AI summary
A method is for providing an adjustable distributed system. The method includes determining at least one characteristic of a wireless communication between at least two components of the distributed system, and adjusting at least one parameter of a control function of one of the at least two components and/or at least one communication parameter of the wireless communication based on the determined at least one characteristic. The method further includes providing the distributed system based on the adjusted at least one parameter of the control function and/or the adjusted communication parameter.