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Surface electromyogram (sEMG) signal has been applied to gesture recognition successfully. However, performance of gesture recognition degrades due to noise, which is unavoidable in practical environment. This study aims to propose a gesture recognition system using a multiple classifier system (MCS) based on random subspace. Our method makes a decision using a signal which is less sensitive to noise...
This paper demonstrates robust damping of interarea oscillations in an AC-Multiterminal DC (MTDC) grid following major contingencies like the outage of a converter pole and line outage. Damping controller design based on H∞ mixed-sensitivity formulation in the Linear Matrix Inequality (LMI) framework has been performed. Emphasis has been placed on achieving robustness in the design by incorporating...
Buck converters are still used as an efficient step down DC-DC converters for constant load voltage for many power supply applications under variable input voltage and different loading conditions. In most of the applications DC-DC converters are controlled by either voltage or by current mode controller. DC-DC converters exhibit non-linear behavior due to switching, hence controller design comes...
Optimal tuning plays an important role in maintaining the product quality and process safety. In this paper robust speed control of an isolated steam turbine has been consummated by fractional order PID (FOPID) controller using multi-objective flower pollination algorithm (MOFPA). Steam turbine finds applications in refineries, where a hydraulic governor is used before the turbine for speed control...
Robust feedback control with large parameter uncertainties in a high precision stage with large sample mass variation is presented. Instead of expressing the nominal plant and its uncertainty by parametric models, they are expressed using the identified frequency response data. The open loop transfer function is mapped onto a Nyquist plot, to assess robust stability. Next, the complementary sensitivity...
We propose new asymptotic notions that capture the robustness of a large interconnected network as dimension of the network grows. Specifically, we address the question of how robustness of a network changes with the network dimension. Motivated by applications in transportation and economic networks, we study network topologies that are robust to scaling in network dimension, and investigate characteristics...
Robust stability synthesis of a class of uncertain parameter-varying first-order time-delay systems is presented in this paper. Internal model principle is used to design a robust control using ℋ∞ small-gain theorem. The closed-loop system robustness is investigated against bounded variation of the parameters and sensitivity analysis is performed to determine the stability conditions and provide a...
We develop a data-driven real-time test for controllers' ability to meet given McFarlane-Glover loop-shape specifications. The proposed test provides a data-driven diagnosis for robustness of controllers by detecting controllers proven to fail to meet loop-shape specifications. The test has an important property that many controllers (not necessarily active ones) can be simultaneously tested in real-time...
This paper investigates the fault detection problem of quantized feedback systems with actuator faults, and system outputs are respectively quantized by a uniform quantizer and a non-uniform quantizer. A new method is proposed to deal with quantization errors, that is, the quantization errors are considered as the unknown inputs of the residual generator. In order to detect the faults, an optimal...
The linear motion of the Corner Cube Mechanism developed for the infrared sounder of the third generations of Meteosat weather satellites requires a high level of accuracy. The system is subject to external micro-vibration perturbations from surrounding instruments, which cannot be rejected with the current PID controllers with notch filters. A data-driven H∞ robust controller design method is proposed...
A frequency-domain approach to the design of digital feedback controls for SISO systems is presented. The noise gain is minimized, subject to a phase margin constraint. The controller is expressed as a repeated-pole expansion, which reduces the optimization to a quadratic problem and a linear system of equations. PID+filter controls are produced as a limiting case.
A direct implementation of H infinity theory for the robust control of a sensorless brushless direct current motor is proposed in this paper. This provides a better dynamic performance compared to conventional Proportional Integral controller and simulation results of the comparison are presented. For the proper weight selection of H infinity controller, particle swarm optimization technique is employed...
Imbalanced data is an inevitable problem in many real world problems, including bleeding detection from endoscopic videos with a fewer clinically significant examples outnumbered by normal examples. In this paper, we have presented a comprehensive analysis of six different classifier performance for different class distribution of training dataset. We have addressed two questions: 1. Is there any...
Now a days the complexity of power systems increases drastically because of the growth of industries and domestic consumers. One of the major problems that can arise, in the contest of this growth, is low frequency oscillation, which can adversely affect stability of system. Power System Stabilizer (PSS) is generally used to repress the low frequency oscillation. It improves the system dynamic stability...
In this paper, the robust observer problem is tackled for mode identification of hybrid dynamical system with variable structures. The main objective is to design an observer that, in the presence of faults and disturbances, the detection time of the active mode is minimized. Two observed-based method are discussed herein: The Linear matrix inequalities approach (LMI) and the pole placement method...
We report a rapid, robust full-wave methodology to model electromagnetic (EM) wave radiation by distributed current sources embedded in planar-layered media. Primitive causality-related numerical instabilities within the computation chain, induced by exponentially rising "distributed" current source spectrum functions, are addressed for both linear and aperture sources, leading to solution...
Credit risk evaluation under the background of big data has been the major focus of financial and banking industry due to recent financial crises. Recent studies have revealed that emerging modern optimization techniques are advantageous to statistical models for credit risk evaluation, such as LS-SVM. In this paper, a least squares support vector machine with mixture kernel (LS-SVM-MK) is proposed...
Ocean ambient noise mainly includes uncorrelated noise and correlated noise. The uncorrelated noise only affects the diagonal elements in the noise covariance matrix, and it can be suppressed by subtracting a value on the diagonal elements. Utilizing this feature, a high array-gain beamforming based on diagonal reducing is presented. Meanwhile, the robustness becomes poor. So, the array weight norm...
Superdirectivity is a very attractive option in array aperture constrained applications due to its high directivity and good angular discrimination. However, it is hardly applied in practice because of its extreme sensitivity to small random array errors. In this paper, we propose an online calibration method for superdirective arrays with gain-phase errors. Unlike the currently well-known robust...
In this paper, the design of a Proportional-Integral-Derivative (PID) controller for the cruise control system has been proposed. The cruise control system, which is a highly nonlinear, has been linearized around the equilibrium point. The controller has been designed for the linearized model, by taking the dominant pole concept in the closed loop characteristic equation. The PID controller parameters,...
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