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Adaptive control of single-input single-output hybrid systems possessing interacting discrete- and continuous-time dynamics

机译:具有离散和连续时间相互作用的单输入单输出混合系统的自适应控制

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This paper deals with the problem of synthesizing a robust adaptive controller for a specific class of single-input single-output(SISO) time-invariant hybrid controlled object ( plant) which can operate under bounded disturbances and/or unmodeled dynamics. The hybrid plant dealt with is composed of two coupled subsystems, one of them being of continuous-time type while the other is digital. As a result there are also mixed continuous-time and discrete signals present in the system associated either with the solutions of differential equations which depend at the same time on both discrete-time and continuous-time forcing terms and on generalized difference equations associated with discretized and digital signals. The estimation algorithm is of a continuous-time nature since the plant parameter estimates are updated for all time. It also incorporates a relative adaptation dead-zone as a robust stabilization mechanism which prevents against instability in the presence of a common class of unmodeled dynamics and bounded noise.
机译:本文针对为一类特定的单输入单输出(SISO)时不变混合受控对象(工厂)合成鲁棒自适应控制器的问题,该对象可以在有界干扰和/或非建模动力学下运行。处理的混合动力工厂由两个耦合的子系统组成,其中一个子系统是连续时间类型,而另一个子系统是数字子系统。结果,系统中还存在混合的连续时间信号和离散信号,这些信号与同时依赖离散时间和连续时间强迫项的微分方程解以及与离散化相关的广义差分方程有关和数字信号。估计算法具有连续时间性质,因为工厂参数估计会一直更新。它还结合了相对适应死区作为鲁棒的稳定机制,可以防止在存在常见的一类未建模动力学和有限噪声的情况下避免不稳定。

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