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.
2 items matching 1 filter
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.
Showing 1-2 of 2
A non-linear disturbance observer (NDO) is an engineering control method used within a feedback linearisation framework to estimate lumped uncertainty. In the cited in-wheel motor drive study, it was implemented as part of a DSP-based intelligent control system for a six-phase permanent magnet synchronous motor.
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.