Intelligent Control and Game Theory
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Organizer(s): |
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Affiliation:
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Country:
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Shujun Wang
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Shandong University
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Peoples Rep of China
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Guangchen Wang
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Shandong University
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Peoples Rep of China
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Tianyang Nie
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Shandong University
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Peoples Rep of China
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Introduction:
| | Amid the rapid evolution of AI, digital economy, and energy internet, intelligent decision-making and multi-agent coordination under multi-source uncertainty are key to upgrading critical sectors. Traditional model-driven control falls short in high-dimensional, nonlinear, and uncertain environments. Therefore, intelligent control must serve as the core, addressing controller design, stability, and adaptive optimization to build a robust theoretical framework for next-generation systems.
Multi-agent collaborative optimization and game decision-making integrate mathematics, control science, and computer science, forming a unified framework to tackle swarm intelligence challenges in dynamic, interactive, and uncertain settings. However, intelligent control strategies and game equilibrium computation remain computationally intensive. Developing efficient algorithms is essential for theoretical advancement.
This special session aims to present frontier progress and explore future directions in intelligent control and game theory, emphasizing an integrated theory-algorithm-application chain. Topics include stochastic control, intelligent control, stochastic differential games, filtering, smart energy, intelligent manufacturing, transportation, digital economy, FinTech, and optimization algorithms.
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