Toolkit Items

Browse the toolkit beneath workflows. The mechanism branch runs mechanism -> architecture -> component, while the technique branch runs from high-level approaches down to concrete methods.

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Mechanism Branch

Layer 1

Mechanisms

Top-level concepts: biophysical action modes such as heterodimerization, photocleavage, or RNA binding.

Layer 2

Architectures

Arrangements that realize or deploy mechanisms, including switches, construct patterns, and delivery strategies.

Layer 3

Components

Low-level parts and sequence-defined elements used inside architectures, including protein domains and RNA elements.

Technique Branch

Layer 1

Approaches

High-level engineering practices such as computational design, directed evolution, sequence verification, and functional assay.

Layer 2

Methods

Concrete methods used to design, build, verify, or characterize engineered systems.

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uncertainty estimation

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probabilistic fuzzy neural network control

Engineering Method

Probabilistic fuzzy neural network control is a digital signal processor-based control method proposed for an in-wheel motor drive in a light electric vehicle. In the cited study, it is implemented for a six-phase permanent magnet synchronous motor drive and combines probabilistic fuzzy neural network control with feedback linearisation and disturbance observation.

CFBacMamMusHumTxRep
Ev 28Rep 9Pr 59
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