研究方向 我们的核心研究领域和理论框架 Machine Learning Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way humans learn and gradually improve accuracy. Data-Driven Control/Unstructured Adaptation Data-driven control includes several control theories and methods where controllers are designed directly using online or offline input/output (I/O) data of the controlled system or knowledge obtained from data processing. Reinforcement Learning/Adaptive Optimization Many adaptive and learning control problems can be formulated as optimization problems aimed at minimizing objective functions related to system performance. Self-Organizing Systems Nature provides us with several examples of collective systems or multi-agent systems that can achieve desired goals through appropriate strategies that promote self-organization. Adaptive Networked Control With the advancement of wireless networks and Internet of Things (IoT), many control systems can be implemented through networked control. Reconfigurable Systems Reconfigurable systems are intelligent systems that embody logic-based adaptive mechanisms. 研究展示 研究应用的可视化展示 固定翼无人机系统 先进的固定翼无人机平台和控制技术研究 无人机制导律 高精度无人机制导和轨迹规划算法 机器人系统控制 智能机器人系统建模和协同控制
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