具有全状态约束的非线性高阶完全执行多代理系统的自适应形成控制及其应用
IEEE transactions on cybernetics
|August 19, 2025
概括
本研究介绍了一种适应性形成控制,用于具有未知的动态和约束的高阶完全执行的多代理系统. 新的框架确保了使用非线性映射和神经网络的安全性和跟踪性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 多代理系统 (MAS) 经常面临未知的非线性动态和状态约束的挑战.
- 现有的形成控制方法可能需要严格的可行性条件,限制其适用性.
研究的目的:
- 开发一种适应性阵列跟踪控制系统,用于高级全动力 (HOFA) MAS.
- 为了解决MAS中未知的非线性动态和全态约束.
- 为了确保系统安全并实现所需的形成性能.
主要方法:
- 提出了一个新的层次结构的形成控制框架.
- 非线性映射函数 (NMF) 将受约束的系统转换为不受约束的模型.
- 分布式观察器和自适应控制器的设计采用完全执行理论和NN近似器.
- 利亚普诺夫稳定理论用于保证系统稳定性和约束满足.
主要成果:
- 而NMF有效地消除了传统方法所需的可行性条件.
- NN近似者成功地学习未知的非线性动力学.
- 拟议的控制器确保状态保持在约束范围内,同时实现形成跟踪.
- 该算法的有效性在多个机器人手臂系统上得到了证明.
结论:
- 开发的等级自适应形成控制框架对HOFA MASs.有效.
- 该方法成功地处理未知的动态和状态约束.
- 这种方法为复杂的多代理协调任务提供了可靠的解决方案.
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