改进了对具有干扰和未知的非线性多代理系统的领导跟踪的无近似控制
Xiaoyan Hu1, Guilin Wen2, Hanfeng Yin1
1College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, Hunan, China.
本研究引入了针对多代理系统的改进的无近似控制 (I-AFC) 方法,提高了适应性,减少了无需复杂近似的奇点问题. 这种新的方法确保了在动态条件下稳健的性能.
科学领域:
- 控制理论 控制理论
- 机器人技术 机器人技术 机器人技术
- 系统工程 系统工程
背景情况:
- 无近似控制 (AFC) 提供强大的干扰拒绝,没有模糊逻辑系统 (FLS) 或神经网络 (NN).
- 当信号在动态条件下超过边界时,奇点问题限制了传统AFC的适用性.
- 多代理系统 (MAS) 需要先进的控制策略来处理不确定性并保持协调的行为.
研究的目的:
- 为多代理系统提出改进的无近似控制 (I-AFC) 方法.
- 为了解决和减轻动态操作条件中固有的奇点问题.
- 提高MAS控制系统的适应性和稳定性.
主要方法:
- 开发一个新的奇点补偿器,集成到AFC框架中.
- 为多代理系统实施I-AFC战略.
- 理论分析以指导对汇率和控制收益的参数选择.
主要成果:
- 拟议的I-AFC方法表明,在不同的条件下,奇点问题的风险降低.
- 通过低复杂度的设计,可以实现特殊的适应性.
- 理论上证明了有利的收率和适当的控制收益.
结论:
- I-AFC 方法有效地克服了 MAS 控制中的奇点挑战.
- 该方法为面对不确定性和动态变化的系统提供了强大而适应性的解决方案.
- 模拟结果证实了拟议的控制策略的有效性和实际适用性.
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