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We showed that the constraint manifold can be made positively invariant by a suitable choice of feedback, and we designed an input-output feedback linearizing control law to exponentially stabilize the constraint manifold for the system.
In this work, we propose a set-based and bilevel optimization approach to design an input sequence such that nonlinear models with uncertainties can be discriminated with guarantees based on a single measurement.
In this paper, a scheme for how to utilize VFTLP (very fast transmission line pulse) data to design an input buffer circuit for CDM (charged-device model) ESD protection is reported.
Designing an input profile for optimal discrimination using linearization is more appropriately addressed in the frequency domain.
To design an input-shaping controller, estimates of the system natural frequency and damping ratio are required.
It's designed a new input device, in line with but different from things like mice and keyboards.
Then, we designed a multi-input multi-output controller for the system with a nonlinear control model.
The paper deals with the problem of designing an unknown input observer for discrete-time non-linear systems.
This is achieved by designing an unknown input observer combined with a set-membership estimation in the presence of disturbances and measurement noise.
The problem of designing an unknown input observer for linear systems and its application to fault detection is widely studied in the literature.
We demonstrate that statistical information of key movements of actions can be utilized in designing an efficient input representation, using fuzzy membership functions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com