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This paper presents a novel modelling method for grid-connected DFIG wind turbine and related robust PSS performance study. Linear Matrices Inequality (LMI) based H2/H∞ output feedback controller design approach is applied for power system stabilizers (PSSs) design. Unlike conventional PSS, the robust PSS has better performance and damping ability to different types of generators. Oscillations caused...
In this study, an initial robust stability analysis procedure is proposed to test the performance of the designed U-pole placement control systems. Unlike the classical design procedures for non-linear control systems, the control-oriented U-model based non-linear control systems cancel the non-linearity of the non-linear models. Therefore, the closed loop transfer function of U-pole placement control...
This paper presents a robust monotonically convergent (RMC) iterative learning control (ILC) design for a class of uncertain linear discrete-time systems with non-zero constant initial error. The learning law under consideration is an anticipatory ILC. Based on a simple quadratic performance function, a sufficient condition for robust monotonic convergence of the proposed learning algorithm is presented...
The need for in vivo wireless acquisition of biological signals is emerging in various medical fields. Electrophysiological applications including recording myoelectric signals in-vivo gastric electrical activity (GEA) to study gastric dysmotility, electrocorticography (ECoG) to study pain, and transcranical motor evoked potentials (TcMEP) for intraoperative neurophysiological monitoring of spinal...
It is necessary to strengthen the construction of the "Three Systems" for promoting pollution reduction work entirely. Pollution reduction work is based on a set of scientific pollution reduction index system. In this paper, we used the Delphi Method to construct a pollution reduction index system, applied the Analytical Hierarchy Process to figure out each index weight in this system, and...
One of the most difficult problems facing the user of clustering analysis techniques in practice is the objective assessment of the stability and validity of the clusters found by the numerical technique used. The problem of determining the “true” number of clusters has been called the fundamental problem of cluster validity. In this paper, a validity index for clustering with penalizing method is...
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