Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity |
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| Authors: | Jing Chen Lixing Lv Ruifeng Ding |
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| Institution: | 1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China;2. Wuxi Professional College of Science and Technology, Wuxi 214028, PR China;3. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, PR China |
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| Abstract: | Since the stochastic gradient algorithm has a slower convergence rate, this letter presents a multi-innovation stochastic gradient algorithm for a class of dual-rate sampled systems with preload nonlinearity. The basic idea is to transform the dual-rate system model into an identification model which can use dual-rate data by using the polynomial transformation technique. A simulation example is provided to verify the effectiveness of the proposed method. |
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