Synchronous data collection measuring system using a single-chip computer

Czebe, Jiri; Suranek, Pavel; Tůma, Jiří; Žiaran, Stanislav

doi:10.1016/j.ifacol.2019.12.735

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the dynamic topology optimization problem of the specified frequency, it can avoid solving the frequency before the specified frequency and directly calculate the specified frequency, and the main process is shown in Figure 3. collection; the system records the setting content, performs the operation, and records the log [21,22]. e workload of data collection is large and the process is complicated.…”

Section: Solution Methodmentioning

confidence: 99%

Tracking Control of the Dynamic Input-Output Economic System Based on Data Fusion

Chen

Dai

2022

Security and Communication Networks

View full text Add to dashboard Cite

In recent years, under the background of stable economic operation, people's research on economic systems has become increasingly popular. The dynamic input-output model reflects the change and development process of the input-output relationship of the economic system over a period of time. The main purpose of tracking control is to design a suitable controller so that the output of the control system can track the output of the reference system as much as possible. In the economic system, data is an important factor. Based on this, this paper mainly studies the tracking control of dynamic input-output economic system based on data fusion. This research takes the data fusion of the dynamic input-output economic system as the starting point and takes the optimal control and tracking of the economic system as the research object of this research. Based on data fusion technology, a new dynamic input-output economic system tracking and control is proposed. This paper studies the finite-time optimal tracking control of linear systems. Through numerical examples, comparing the finite-time and infinite-time optimal control simulation results, it is proved that the algorithm can achieve good tracking control. Experimental data shows that the optimal and suboptimal performance indicators for a limited time are 0.7729412 and 1.5687310, respectively. Therefore, compared with the infinite-time optimal control, the performance loss and the final tracking error of the suboptimal control proposed in this study are reduced.

show abstract

Section: Solution Methodmentioning

confidence: 99%