执行机构
模块化设计
计算机科学
弹道
控制理论(社会学)
控制(管理)
跟踪误差
控制工程
控制系统
有界函数
避障
功能(生物学)
绩效改进
障碍物
跟踪(教育)
工程类
降级(电信)
可控性
任务(项目管理)
车辆动力学
最优化问题
运动学
惩罚法
自适应控制
作者
Xinyue Zhao,Qingkai Yang,Kefan Zheng,Zeming Zhao,Kaifeng Zheng,Hao Fang
标识
DOI:10.1109/tase.2026.3667164
摘要
Reliable formation control in real-world multi-agent systems is challenging due to the concurrent need to meet performance specifications, enforce safety constraints, and respect actuator limitations. While prescribed performance control (PPC) ensures bounded error evolution via predefined performance functions, incorporating safety and input constraints within this framework remains nontrivial. This paper develops a modular decoupled control architecture that integrates PPC and control barrier function (CBF) to enforce performance and safety. The fixed performance bound limitation in PPC control is overcome through the introduction of an auxiliary system that adaptively adjusts performance functions, thereby effectively enabling the quantification of performance degradation due to constraints while avoiding control singularities. To further mitigate conflicts between safety and performance, an online trajectory optimization module is designed to generate smooth and collision-free reference trajectories. The proposed approach is validated on a team of Crazyflie quadrotors navigating obstacle environments, demonstrating safe and accurate formation tracking under stringent constraints.
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