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A method of robust, nonlinear, multi-rate, state estimator design is presented.
A method of robust design with respect to the uncertain equivalent stiffnesses of blocks is also proposed.
In this paper, a method of robust control based on sliding mode and fuzzy logic techniques is presented.
Considering the random fluctuations of the layer thickness, a method of robust design of broadband EUV multilayers based on multi-objective evolutionary algorithm is presented.
Spiking neural networks are of interest both from a biological point of view and in terms of a method of robust signaling in particularly noisy or difficult environments.
Finally, it was necessary to use a method of robust variance estimation in the application of the Poisson model for better fit [ 32].
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Moreover, a novel method of robust fault detection against neural model uncertainty and disturbances is developed.
A design method of robust sampled-data state feedback controller for uncertain fuzzy systems is then proposed.
Then, a design method of robust guaranteed cost state feedback controller for uncertain sampled-data fuzzy systems is proposed.
Based on satisfactory control strategy, a new method of robust passive fault tolerant controller against actuator faults is proposed for a class of uncertain discrete-time systems.
In this paper, a novel method of robust design is proposed using the convex model with the help of the unsatisfactory degree functions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com