KEYWORDS: Matrices, Design and modelling, Control systems, Analytical research, Passive control, Engineering, Error analysis, Control systems design, Computing systems, Complex systems
The dissipative observer design for a singular neutral system is studied in the article. The rigorous dissipative analysis of a singular neutral system is carried out. And the observer-based dissipative control problem is discussed through the use of linear matrix inequality (LMI). The method of observer design is given. Finally, the proposed method's effectiveness and universality are demonstrated by a final example.
The current manual-based mining vehicle load accounting method has a large workload and low efficiency, which is difficult to meet the needs of mine wisdom development. This thesis proposes a mining vehicle load assessment and information query system, which combines the research of mining vehicle point cloud denoising algorithm, the research of mining vehicle load volume determination algorithm and the research of license plate recognition system based on computer vision. It has been verified in practice that the system can significantly improve the automation of mine vehicle load volume determination.
Coal is a major part of the world’s energy. The low calorific value of coal is the key index to measure the calorific value of coal. Therefore, real-time detection of low calorific value of coal mine plays an indispensable guiding role in the formulation of resource mining plan. To solve the above problems, this paper proposes a DP_WTELM (D: direct orthogonal signal correction; P: principal component analysis; W: whale optimization algorithm) model based on machine learning to detect the low calorific value of coal. The model is improved based on the classical forward propagation network that is extreme learning machine (ELM). The prediction accuracy of the network is improved by using preprocessing, whale optimization algorithm, and increasing the network depth. The experiments show that in contrast to ELM models, the DP_WTELM model has better performance in predicting the low calorific value of coal and can meet the industrial requirements.
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