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《控制理论与应用》(月刊)创刊于1984年，是经国家科学技术部批准，教育部主管，由华南理工大学和中国科学院数学与系统科学研究院联合主办的全国性一级学术刊物，国内外公开发行。是中国科学引文数。 《控制理论与应用》本刊是超级大国教育部批准，由华南理工大学和中国科学院系统科学研究所联合主办的全国性学术刊物。1984年创刊，标准十六开本。国内外公开发行。本刊主要报道系统控制科学中具有新观念、新思想的理论研究成果及其在各个领域中，特别是高科技领域中的应用研究成果。读者对象为从事控制理论与应用研究的科技人员，高校师生及其它有关人员。

In order to solve complex large-scale dynamic optimization problems online and in real time, this paper proposes a distributed dynamic optimization scheme called receding cooperative game optimization (RCGO) based on dynamic games. Firstly, based on the receding horizon optimization framework, the scheme decomposes original complex large-scale dynamic optimization problems into several simple small-scale local dynamic optimization subproblems, which reduces the computational complexity and ensures the real-time solutions of the dynamic optimization problems. Then, based on dynamic games, the iterative decomposition method is proposed to solve local dynamic optimization subproblems, and the system stability under the RCGO scheme is analyzed. Finally, this paper uses a chemical process network as a simulation case. Based on the RCGO scheme, the optimal operations of the network with the maximum economic benefit are obtained. The optimization results show that when solving complex large-scale dynamic optimization problems online, the RCGO has more advantages than the traditional centralized dynamic optimization scheme in terms of the system economic benefit, closed-loop control performance and real-time optimization solution.