在输出和存在的情况下,离散时间非线性系统的新型智能控制
Xuejun Zhou1, Ying Dai2, Ebrahim Ghaderpour3
1College of Physics and Electronic Information, Yan'an University, Yan'an, 716000, Shaanxi, China.
Heliyon
|October 14, 2024
概括
一种新的无模型控制方法使用3型模糊系统来估计离散时间非线性系统的未知参数,以确保具有快速融合的强大和准确的性能.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 非线性系统分析
背景情况:
- 无模型控制对于数学模型未知或复杂的系统至关重要.
- 输出和在控制系统设计中是一个重大挑战.
- 模糊系统为控制应用中的参数估计提供了强大的方法.
研究的目的:
- 为离散时间非线性系统引入无模型控制方法.
- 使用3型模糊系统来估计未知的植物参数.
- 在拟议的控制系统中解决和减轻输出和的影响.
主要方法:
- 开发了一个无模型的控制架构,仅依靠工厂的输入-输出数据.
- 使用3型模糊推理系统,动态估计未知系统参数.
- 控制策略明确结合了处理输出和的机制.
主要成果:
- 拟议的方法证明了保证的收和强大的性能对植物动态变化的变化.
- 模拟结果显示高精度和快速收,在根平均平方误差和步骤响应时间方面表现优于其他方法.
- 这项研究验证了该方法在模拟不确定性方面的稳定性.
结论:
- 开发的无模型控制方法,增强了3型模糊系统,为离散时间非线性系统提供了强大而准确的解决方案.
- 在这种控制应用中,Type-3模糊系统在Type-1和Type-2模糊系统上表现出优势.
- 该方法有效地处理输出和和参数不确定性,提供改进的性能指标.
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