基于最小二乘支持向量机的在线建模与控制方法研究 (Chinese Edition)
by 欣然 周
This research investigates online modeling and control techniques grounded in least squares support vector machines. It covers theoretical developments and applications for real-time system management, offering practical insights for engineering and automation fields. The Chinese edition serves as a comprehensive resource for advancing intelligent control methodologies.
About This Book
This Chinese edition presents research on online modeling and control methods utilizing least squares support vector machines. The work delves into the theoretical foundations and practical applications of these approaches in system control.
The author examines how these methods enable efficient real-time modeling for complex systems. Key aspects include the adaptation of support vector machines to handle online data processing and control optimization.
The study highlights the advantages of least squares formulations in improving accuracy and computational efficiency. It offers insights valuable for researchers and practitioners in automation and intelligent systems.
Overall, the book contributes to the field by bridging machine learning with control theory, emphasizing innovative solutions for dynamic environments.
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