Wei Wu
Orcid: 0000-0003-0748-4952Affiliations:
- Chinese Academy of Sciences, Institute of Automation, Beijing, China
- University of Science and Technology of China, Hefei, China (former)
- Humboldt University of Berlin, Germany (former)
- Goethe University Frankfurt, Frankfurt am Main, Germany (former)
According to our database1,
Wei Wu
authored at least 29 papers
between 2011 and 2024.
Collaborative distances:
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Timeline
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Bibliography
2024
IEEE Trans Autom. Sci. Eng., April, 2024
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Controlling Musculoskeletal System with Spinal Cord-Inspired Constraint Force Field Primitives.
Unmanned Syst., March, 2024
2023
Finite-time filtering of T-S fuzzy semi-Markov jump systems with asynchronous mode-dependent delays.
J. Frankl. Inst., November, 2023
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot.
IEEE Trans. Cogn. Dev. Syst., September, 2023
2022
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System.
IEEE Trans. Cybern., 2022
Asynchronous fault detection for delayed semi-markov jump systems with mismatched mode-dependent nonlinearities.
Inf. Sci., 2022
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Computational Modeling of Emotion-Motivated Decisions for Continuous Control of Mobile Robots.
IEEE Trans. Cogn. Dev. Syst., 2021
Reliable mode-dependent memorized projective lag synchronization for semi-Markovian jumping coupled networks.
J. Syst. Control. Eng., 2021
Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays.
Neurocomputing, 2021
Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator.
IEEE Access, 2021
2020
Neural Network Tracking of Switched Robotic Manipulators with Mode-Dependent Average Dwell Time.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020
Neural-based Inverse Kinematical Analysis for Bio-inspired Cable-driven Robotic Manipulator.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020
2019
Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data.
Int. J. Syst. Sci., 2019
2018
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity.
IEEE Trans. Cogn. Dev. Syst., 2018
IEEE Trans. Cogn. Dev. Syst., 2018
Dissipativity-Based Synchronization of Mode-Dependent Complex Dynamical Networks with Semi-Markov Jump Topology.
Complex., 2018
2017
Neurocomputing, 2017
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.
IEEE Trans. Cybern., 2016
A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity.
CoRR, 2016
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability.
CoRR, 2016
2015
Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment.
IEEE Trans. Cybern., 2015
Frontiers Comput. Neurosci., 2015
2011
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions.
Frontiers Neuroinformatics, 2011