首页|Findings on Intelligent Systems Discussed by Investigators at Zhengzhou University of Light Industry (Online Optimal Tracking Control of Unknown Nonlinear Singu larly Perturbed Systems Using Single Network Adaptive Critic With Improved Learning)
Findings on Intelligent Systems Discussed by Investigators at Zhengzhou University of Light Industry (Online Optimal Tracking Control of Unknown Nonlinear Singu larly Perturbed Systems Using Single Network Adaptive Critic With Improved Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Inte lligent Systems is now available. According to news originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This stu dy is the first time devoted to seek an online optimal tracking solution for unk nown nonlinear singularly perturbed systems based on single network adaptive cri tic (SNAC) design. Firstly, a novel identifier with more efficient parametric mu lti-time scales differential neural network (PMTSDNN) is developed to obtain the unknown system dynamics.”
ZhengzhouPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningZhengzhou University of Light Industry
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