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Titlebook: Advances in Neural Networks - ISNN 2004; International Sympos Fu-Liang Yin,Jun Wang,Chengan Guo Conference proceedings 2004 Springer-Verlag

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Wang Yuchen,Lu Jialiang,Philippe MartinsBM approach also failed to find the controller. We suggest two approaches to overcome this afore-mentioned difficulty. These two approaches are approach of using approximate 2. order zeros to cancel the embedded plant poles, and GA-based fine-tuning approach.
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https://doi.org/10.1007/978-3-031-34790-0ed together to provide more accurate multi-step state predication. Based on the state predication an active fault tolerant control law is then proposed against sensor failures of nonlinear time delay systems. Simulation results on a three-tank-system show the effectiveness of the proposed fault tolerant control law.
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Neuro-Fuzzy Hybrid Position/Force Control for a Space Robot with Flexible Dual-Armsblem, we have developed PLUM, an automatic portable framework for performing adaptive largescale numerical computations in a message-passing environment. This paper presents several experimental results that verify the effectiveness of PLUM on sequences of dynamically adapted unstructured grids. We
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