对状态和输入时间延迟非线性连续时间系统的平行控制与自适应的关键参与者学习实现
IEEE transactions on cybernetics
|March 3, 2025
概括
本研究介绍了一种最佳的控制方法,用于非线性系统的时间延迟,使用后退的积分技术. 该方法确保了系统稳定性和有效的控制规则重建,以提高性能.
科学领域:
- 控制理论 控制理论
- 非线性系统分析 非线性系统分析
- 系统工程 系统工程
背景情况:
- 具有时间延迟的非线性系统带来了重大控制挑战.
- 现有的最佳控制方法经常在时间延迟补偿方面扎.
- 为这些系统制定强大的控制策略对于实际应用至关重要.
研究的目的:
- 开发一种建设性的方法,以优化控制已知时间延迟的非线性系统.
- 设计一个反系统,使用反向整合技术来识别控制规则.
- 为了将最佳控制问题转化为有效解决方案的最小任务.
主要方法:
- 利用后退的集成技术来设计反控制系统.
- 根据状态和输入延迟制定了值函数,将问题转换为最小化任务.
- 在持久刺激 (PE) 条件下使用一个批评者-演员框架来重建成本函数和控制规则.
- 应用Lyapunov稳定性分析以确保系统的稳定性.
主要成果:
- 成功开发了非线性时间延迟系统的最佳控制解决方案.
- 批评者-演员框架使在线最佳控制算法研究成为可能.
- 利亚普诺夫的测试证实了所控制系统的稳定性.
- 实验结果证明了拟议方法的有效性.
结论:
- 提出的建设性方法有效地解决了对具有时间延迟的非线性系统的最佳控制.
- 后退的整体技术与批评者-演员框架相结合,提供了一个强大的解决方案.
- 该方法确保了系统的稳定性,并通过实验验证证明了其实际适用性.
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