[PDF][PDF] Machine Learning for Modeling and Control of Industrial Clarifier Process.

M Rajalakshmi, V Saravanan… - … Automation & Soft …, 2022 - researchgate.net
In sugar production, model parameter estimation and controller tuning of the nonlinear
clarification process are major concerns. Because the sugar industry's clarification process …

Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision

J Shi, X Chen, Y Xie, H Zhang, Y Sun - Applied Soft Computing, 2023 - Elsevier
With continuous scale expansion and higher safety requirements in modern aluminum
electrolysis, it is more and more necessary to realize an intelligent decision-making for …

Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization

X Tan, Y Wang, C Liu, X Yuan, K Wang - Chemometrics and Intelligent …, 2023 - Elsevier
The optimization of industrial processes is crucial for enhancing operational safety,
productivity, and energy efficiency. However, the increasing complexity of industrial …

状态转移算法原理与应用

周晓君, 阳春华, 桂卫华 - 自动化学报, 2020 - aas.net.cn
状态转移算法是基于状态和状态转移的概念及现代控制理论中状态空间表示法提出的一种智能
型随机性全局优化方法, 由于其优良的全局搜索能力和快速收敛性, 在许多优化问题中得到了很 …

Fault detection of wind turbine pitch system based on multiclass optimal margin distribution machine

M Tang, Z Kuang, Q Zhao, H Wu… - … Problems in Engineering, 2020 - Wiley Online Library
In response to the unbalanced sample categories and complex sample distribution of the
operating data of the pitch system of the wind turbine generator system, this paper proposes …

A method of optimizing cell voltage based on STA-LSSVM model

C Xu, Z Tu, W Zhang, J Cen, J Xiong, N Wang - Mathematics, 2022 - mdpi.com
It is challenging to control and optimize the aluminum electrolysis process due to its non-
linearity and high energy consumption. Reducing the cell voltage is crucial for energy …

[PDF][PDF] The principle of state transition algorithm and its applications

Z Xiao-Jun, Y Chun-Hua, G Wei-Hua - Acta Automatica Sinica, 2020 - faculty.csu.edu.cn
As an intelligent stochastic global optimization methodology, state transition algorithm is
proposed based on the concepts of state, state transition and state space representation in …

A tito control strategy to increase productivity in uncertain exothermic continuous chemical reactors

R Aguilar-López, JL Mata-Machuca… - Processes, 2021 - mdpi.com
In this manuscript, a two-input two-output (TITO) control strategy for an exothermic
continuous chemical reactor is presented. The control tasks of the continuous chemical …

On the Order of Operators in the Continuous State Transition Algorithm

S Fang, X Zhou, J Tian - 2022 41st Chinese Control …, 2022 - ieeexplore.ieee.org
In order to investigate the influence of the order of operators in the continuous state
transition algorithm on its optimization performance, this paper comprehensively considers …

[PDF][PDF] Synthetic Sparse Matrix Algorithm for Computer Aided Circuit Analysis

H Zhang, F Cao - COMPUTER-AIDED DESIGN, 2022 - cad-journal.net
The principle of sparse sampling of circuit analysis coded ultrasonic signal is given, and the
sparse sampling data is obtained. The principle of reconstructing the characteristic …