新型SMC用于离散间隔类型-2模糊的半马科维亚交换模型,具有不完整的半马科维亚内核
IEEE transactions on cybernetics
|July 3, 2025
概括
这项研究为具有半马科夫参数的离散非线性随机系统引入了新的间隔类型-2模糊滑动模式控制 (SMC). 开发的IT2F SMC法有效减少了聊天,并确保了系统的稳定性.
科学领域:
- 控制理论 控制理论
- 模糊系统 (Fuzzy Systems) 是一个模糊系统.
- 随机系统 随机系统 随机系统
背景情况:
- 非线性随机切换模型由于参数不确定性和复杂的动态存在控制挑战.
- 半马科夫参数和不完整的内核增加了系统分析和控制器设计的复杂性.
- 间隔类型-2模糊 (IT2F) 模型提供了一个强大的框架来处理非线性系统中的不确定性.
研究的目的:
- 为离散非线性随机切换模型开发一种新的滑动模式控制 (SMC) 策略.
- 解决半马科维亚参数和不完整的半马科维亚内核 (SMK) 所带来的挑战.
- 设计一个能够确保稳定性和减少聊天的IT2F SMC法.
主要方法:
- 使用间隔类型-2模糊 (IT2F) 模型来描述非线性系统动态.
- 在稳定性分析中使用模式依赖的利亚普诺夫函数和不完整的SMK.
- 制定IT2F SMC法,包括学习策略.
主要成果:
- 为了在指定的条件下确保滑动动态的稳定性,得出了足够的条件.
- 拟议的IT2F SMC法有效地将国家信号引导到滑动区域.
- 模式切换引起的聊天显著减少.
结论:
- 开发的IT2F SMC战略为控制离散非线性随机切换模型提供了强大的解决方案.
- 该方法有效地处理系统内的不确定性和不完整信息.
- 对卡车拖车模型的模拟结果验证了拟议的控制策略的有效性.
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