Adaptive Model Output Following Control for a Networked Thermostat
Source abstract
Abstract
The model of a networked temperature control system is easily affected by its surrounding environment. Because of that, it is hard to identify an accurate model. This paper proposes an adaptive model output following control based on system identification for a networked thermostat system. First, the time-varying system model is built via some thermal laws, whose parameters are identified based on the least-squares method (LSM). The time delay is transferred to deterministic by setting the data buffer. The system stability is ensured by a feedback controller. Meanwhile, an adaptive model output following controller with a command generator tracker (CGT) is designed to adjust the forward control input based on system identification. Finally, the effectiveness of the proposed method is illustrated by simulation and experimental results.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Control Systems Optimization · Control Systems and Identification · Stability and Control of Uncertain Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Zhongyuan-Petersburg Aviation College, Zhongyuan University of Technology, Zhengzhou 450007, China
Department of Electronic and Computer Engineering, Ritsumeikan University, Kusatsu 525-8577, Shiga, Japan
Funding
Scientific and Technological Project in Henan Province
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