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Model-Free Composite Control for a Class of Semi-Coupled Two-Time-Scale Systems: An Adaptive Dynamic Programming Approach ?

机译:一类半耦合的两次尺度系统的无模型复合控制:自适应动态编程方法

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This paper proposes a composite control approach for a class of semi-coupled two-time-scale systems, whose model parameters are completely unknown. In the framework of adaptive dynamic programming (ADP), a novel model-free off-policy learning algorithm without ill-conditioned numerical issues is derived on the basis of input and state data. The convergence of the developed ADP algorithm is guaranteed under reasonable assumptions. Using singular perturbation theory, we prove that the closed-loop system with the obtained controller in each iteration is asymptotically stable. Simulation results on an industrial process demonstrate the feasibility and effectiveness of our proposed approach.
机译:本文提出了一类半耦合两次级系统的复合控制方法,其模型参数完全未知。 在自适应动态编程(ADP)的框架中,基于输入和状态数据导出没有残疾数值问题的新型无模型脱策学习算法。 在合理的假设下,发达的ADP算法的收敛性得到保证。 采用奇异扰动理论,我们证明了在每次迭代中具有所获得的控制器的闭环系统是渐近稳定的。 仿真结果对工业过程展示了我们提出的方法的可行性和有效性。

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