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Incremental Coding for Real-Time Remote Control over Bandwidth-Limited Channels and Its Applications in Smart Grids.
Yiyu Qiu1,2, Junjie Wu1,2, Wei Chen1,2
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Entropy (Basel, Switzerland)
|February 23, 2024
Summary
Incremental coding enables real-time remote control over limited bandwidth networks. This method improves performance for applications like smart grids by allowing actuators to act on partial data, reducing latency and enhancing stability.
Area of Science:
- Control Systems Engineering
- Communication Networks
- Signal Processing
Background:
- Bandwidth-constrained channels pose challenges for real-time remote control systems.
- Limited bandwidth leads to latency and performance degradation in applications like autonomous driving and smart grids.
Purpose of the Study:
- To introduce an incremental coding method for remote control over bandwidth-constrained channels.
- To analyze the stability and performance of incremental coding in linear control systems.
- To develop and evaluate a multi-user remote control scheme for smart grid demand response.
Main Methods:
- Developed an incremental coding technique where actuators respond to partially received data.
- Applied incremental coding to linear control systems, deriving stability conditions and average linear-quadratic-Gaussian (LQG) cost.
- Investigated a multi-user remote control scheme, optimizing source coding and demand response for smart grids.
Main Results:
- Incremental coding significantly reduces performance loss and latency compared to conventional methods.
- The proposed scheme demonstrates good performance in both single-user and multi-user scenarios.
- Joint optimization of source coding and demand response minimizes utility loss in smart grids.
Conclusions:
- Incremental coding is an effective strategy for enhancing remote control performance over bandwidth-limited networks.
- The method offers substantial improvements over traditional zero-hold control schemes under the LQG metric.
- The approach is particularly beneficial for real-time applications in smart grids and the Industrial Internet of Things.
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