报告题目：混合阶动态优化同步学习方法及其在通信安全中的应用

报告人：张坤北京航空航天大学，副教授，博士生导师

报告时间：2025年11月25日周二20:30

报告地点：艺设楼414

报告对象：感兴趣的教师、研究生等

主办单位：电力电子与运动控制安徽省高等学校省级重点实验室、安徽省工业企业智能化产业共性技术研究中心、电气与信息工程学院

报告人简介：

张坤，北京航空航天大学宇航学院，副教授，博士生导师。长期从事复杂系统的智能控制技术研究工作，入选了北京市科技新星计划、国家博新计划，主持国家自然科学基金和各类课题10余项，完成了一系列重要科研任务。目前担任SCI期刊PCMP、Drones和JICV、JAI、《南京理工大学学报》、《现代防御技术》、《工程科学学报》等期刊编委或青年编委，以及中国控制会议(CCC)、IEEE ICCA/ CCTA/ IAC-CSIS等国际会议程序委员或分会主席，是北京市科学技术委员会、中关村科技园区管委会科技项目评审专家库专家、中关村人才智库特聘专家。

摘要：

In this talk, a novel synchronization learning scheme is discussed for secure communication, where the signal transmission architecture with a chaotic encryption process is considered. Firstly, to realize the information security in communication, the original signals are encrypted by fractional order dynamics from the sender, and decrypted by receiver to achieve synchronization. For the process, a hybrid order dynamic optimization is constructed, where the fractional order and the integer order systems are modeled as constraints. Secondly, a transformation formula is developed to convert these constraints into new integer order dynamics, and the equivalence between two dynamic optimizations is obtained. Thirdly, to obtain the synchronization solution, a new iterative learning algorithm is designed, and the adaptive dynamic programming is successfully embedded into the solving process. Finally, we apply the proposed synchronization scheme into the secure image transmission, and the simulation results demonstrate the effectiveness and practicality successfully.

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