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首页> 外文期刊>Engineering Applications of Artificial Intelligence >Model free adaptive support vector regressor controller for nonlinear systems
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Model free adaptive support vector regressor controller for nonlinear systems

机译：非线性系统的无模型自适应支持向量回归控制器

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摘要

In this study, a novel model free support vector regressor controller (MF-SVRcontroller) is introduced for nonlinear dynamical systems. For the adaptation mechanism, a model free closed-loop margin which is a function of tracking error is derived and it is used to optimize the parameters of MF-SVRcontroller. The effectiveness of the adjustment mechanism and closed-loop performance of the MF-SVRcontroller have been examined by simulations performed on continuously stirred tank reactor (CSTR) and bioreactor benchmark systems. In order to observe the impacts of the removal of the model estimation block in control architecture, the performance of the MF-SVRcontroller is compared with a model based support vector regressor controller (MB-SVRcontroller) and SVM-based PID controller. The results indicate that MF-SVRcontroller diminishes the computational load of MB -SVRcontroller at the cost of a small amount of decrease in tracking performance.
机译：在这项研究中，针对非线性动力学系统的新型无模型支持向量回归控制器（MF-SVRcontroller）被引入。对于自适应机制，推导了随跟踪误差变化的无模型闭环裕度，并用于优化MF-SVRcontroller的参数。 MF-SVRcontroller的调节机制和闭环性能的有效性已通过在连续搅拌釜反应器（CSTR）和生物反应器基准系统上进行的仿真进行了检验。为了观察移除模型估计块在控制体系结构中的影响，将MF-SVRcontroller的性能与基于模型的支持向量回归控制器（MB-SVRcontroller）和基于SVM的PID控制器进行了比较。结果表明，MF-SVRcontroller降低了MB -SVRcontroller的计算量，但代价是跟踪性能略有下降。

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