Intelligent Control and Optimization of Complex Nonlinear Systems
复杂非线性系统的智能控制与优化

Introduction:

With the rapid development of industry 4.0, smart energy, unmanned systems and other fields, the characteristics of complex nonlinear systems such as high dimensionality, strong coupling, and time-varying delay pose serious challenges to traditional control theories. Traditional linear control methods based on mathematical models are difficult to meet the needs, but the integration of intelligent control and optimization technologies (such as adaptive dynamic programming, event triggering mechanism, neural network, etc.) provides a new way to break through the theoretical bottleneck. This topic focuses on the following research areas:

1. Intelligent control theory: including but not limited to the application of adaptive dynamic programming, deep reinforcement learning, parallel control, sliding mode control and backward step control algorithms in nonlinear systems.
2. Optimization and resource management techniques: event triggering mechanism (static/dynamic), quantization control (uniform/logarithmic/dynamic quantizer), multi-agent cooperative optimization, etc.
3. Cross-field application scenarios: robot collaborative control in intelligent manufacturing, multi-modal scheduling of energy systems, biochemical process optimization, medical multi-omics decision platform, etc.

This topic aims to bring together cutting-edge achievements, explore intelligent cooperative control and multi-objective optimization methods for complex nonlinear systems, and promote the two-way empowerment of theoretical innovation and practical application.

随着人工智能、智慧能源、无人系统等领域的快速发展，复杂非线性系统的高维数、强耦合、时变时滞等特点对传统控制理论提出了严峻挑战。传统的基于数学模型的线性控制方法难以满足需求，而智能控制与优化技术（如自适应动态规划、事件触发机制、神经网络等）的融合为突破理论瓶颈提供了新的途径。本专题主要针对以下几个方面：
1.智能控制理论：包括但不限于自适应动态规划、深度强化学习、并行控制、滑模控制和反布控制算法在非线性系统中的应用。
2.优化与资源管理技术：事件触发机制（静态/动态）、量化控制（均匀/对数/动态量化）、多智能体协同优化等。
3.跨领域应用场景：智能制造中的机器人协同控制、能源系统多模态调度、生化过程优化、医疗多组学决策平台等。 本专题旨在汇集前沿成果，探索复杂非线性系统的智能协同控制和多目标优化方法，促进理论创新与实际应用的双向赋能。

Organizers:

	Weizhong Chen, Xi’an Polytechnic University, China Weizhong Chen, male, associate professor, School of Electronic Information, Xi 'an Polytechnic University, Young Talent of Shaanxi Province, Top Talent of Xi 'an Polytechnic University, Director of Control Theory and Application Laboratory, Institute of Robotics and Intelligent Equipment, School of Electronic Information. His current research interests include switched systems,  intelligent control, neural network, networked control and state estimation. As the project leader, he has presided over 5 high-level projects such as the National Natural Science Fund Project, the Shaanxi Provincial High-level Talent Introduction Project, and the Shaanxi Provincial Natural Science Fund Project.  He has published more than 20 SCI papers in well-known journals in the field of control, and obtained 5 national authorized invention patents.
	Tenglong Huang, Northwest A&F University, China Tenglong Huang, male, associate professor, College of Mechanical and Electronic Engineering, Northwest A&F University. His current research interests include intelligent vehicles, mobile robots, robotic manipulators, intelligent agriculture, etc. As the project member, he has joined over 3 high-level projects such as the National Natural Science Fund Project and Major Science and Technology Project of "Millions" Project in Heilongjiang Province, etc.  He has published papers in well-known journals in the field of control or robotics.
	Yuanchao Yang, Xi’an Polytechnic University, China Yuanchao Yang, male, associate professor, School of Electronic Information, Xi 'an Polytechnic University. His current research interests include complex network control, modeling and optimization for safety-critical systems. As the project leader, he has presided multiple projects including the National Natural Science Fund Project, the Shaanxi Provincial Natural Science Fund Project, and Fundamental Research Funds for the Central Universities, etc..  He has published over 20 SCI/EI papers in well-known journals/conferences in the related research fields.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2025
Please choose Special Session: Intelligent Control and Optimization of Complex Nonlinear Systems