Self-Synchronising Stationary Frame Inverter-Current-Feedback Control for LCL Grid-Connected Inverters

Acquiring the skill of speaking in another language, or for that matter a child's learning to talk, does not follow a single recipe. People learn by variable amounts. A major component of speech learnability seems to be sensing precise feedback errors to correct subsequent utterances that help maintain speech goals. We have tested this idea in a speech motor learning paradigm under altered auditory feedback, in which subjects repeated a word while their auditory feedback was changed online. Subjects learned the task to variable degrees, with some simply failing to learn. We assessed feedback contribution by computing one-lag covariance between formant trajectories of the current feedback and the following utterance that was found to be a significant predictor of learning. Our findings rely on a novel use of information-rich formant trajectories in evaluating speech motor learning and argue for their relevance in auditory speech goals of vowel sounds.

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Grid-Current-Feedback Control for LCL-Filtered Grid Converters With Enhanced Stability

IEEE Transactions on Power Electronics ◽

10.1109/tpel.2016.2580543 ◽

2017 ◽

Vol 32 (4) ◽

pp. 3216-3228 ◽

Cited By ~ 76

Author(s):

Zhen Xin ◽

Xiongfei Wang ◽

Poh Chiang Loh ◽

Frede Blaabjerg

Keyword(s):

Feedback Control ◽

Current Feedback ◽

Grid Current ◽

Enhanced Stability

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Bursting and Synchronization in a Two-Compartment Model with Current-Feedback Control

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127416502187 ◽

2016 ◽

Vol 26 (13) ◽

pp. 1650218 ◽

Cited By ~ 4

Author(s):

Pan Meng ◽

Quanbao Ji ◽

Haixia Wang ◽

Qishao Lu

Keyword(s):

Feedback Control ◽

Transition Process ◽

Compartment Model ◽

Neural Systems ◽

Complete Synchronization ◽

Current Feedback ◽

Information Encoding ◽

Synchronization Transition ◽

Two Compartment Model ◽

Generation Mechanisms

Based on the fast–slow dynamics and bifurcation analysis, two different types of bursting, that is, the “subHopf/homoclinic” and the “circle/fold cycle” types of bursting, are presented and analyzed in a two-compartment neuron model with current feedback control due to totally different generation mechanisms. The synchronization transition process from burst synchronization to nearly complete synchronization is considered in two electrically coupled nonidentical neurons, and fast–slow analysis can be extended to explore the bursting behavior of nearly complete synchronization. The analysis of bursting types and multitime-scale synchronization transition may help us better understand the information encoding and transmission in neural systems.

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