An output feedback methodology based designed dynamic controller attenuate the effects of the both matched and unmatched uncertainties along with considerable reduction in chattering phenomena.
The overall network, described by a collection of double integrator dynamics, is controlled by a novel distributed static output feedback methodology to maintain a desired formation.
This review covers a disparate group of subjects ranging from technology for measuring cardiac output to methodology for minimizing the risks associated with insertion of central venous lines.
The proposed control technique uses both the state-feedback and the output-feedback methodologies.
On the basis of the input and output parameters, a methodology is derived for the validation of the model by using full scale running tests.
An adaptive output feedback control methodology is developed for a class of uncertain multi-input multi-output nonlinear systems using linearly parameterized neural networks.
The output of the methodology was a recreation suitability map portraying the spatial extent of recreation suitability of the landscape for a recreation user group.
