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2,763
Classification of Composite Power Quality Disturbance Signals Based on HHT and S-Transform
"... Abstract—The correct classification of single and composite power quality disturbances is the premise and basis of governance and control of power quality problems. This article extracts the high-frequency and low-frequency characteristics by S-transform of the disturbance signals, combining HHT to ..."
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Abstract—The correct classification of single and composite power quality disturbances is the premise and basis of governance and control of power quality problems. This article extracts the high-frequency and low-frequency characteristics by S-transform of the disturbance signals, combining HHT
Robust LQ Control for Harmonic Reference/Disturbance Signals
, 2000
"... Linear Quadratic (LQ) controller design is considered for continuous-time systems with harmonic signals of known frequencies and it is shown that the design is reducible to an interpolation problem. All LQ optimal loops are parametrized by a particular solution of this interpolation problem and a (f ..."
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Linear Quadratic (LQ) controller design is considered for continuous-time systems with harmonic signals of known frequencies and it is shown that the design is reducible to an interpolation problem. All LQ optimal loops are parametrized by a particular solution of this interpolation problem and a
PRACTICAL APPROACH FOR MEASURING DISTURBED SIGNALS DURING IMMUNITY TESTING
"... In automotive and many other industrial applications safety is of great concern. The safety of these applications is not only covered by the machine directive but also incorporated in strong immunity requirements. These strong immunity requirements will minimise the risk of an accidental failure due ..."
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due to disturbance by electromagnetic energy. This paper describes a method that will help the designer to investigate the designs by getting measured data during immunity testing. These data will give the engineer more information than just a pass/fail result. 1.
Classification of Disturbance Signals Using Partitioned Feature-Based Classifier
"... Selection and peer review under responsibility of Prof. Dr. Hafize Keser. ..."
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Selection and peer review under responsibility of Prof. Dr. Hafize Keser.
doi:10.1155/2007/29507 Research Article Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications
"... The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow efficient transmission and storage of the information acquired. In this context, signal processing techniques play a f ..."
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fundamental role. This work is a tutorial reviewing the principles and applications of atomic signal modeling of electric disturbance signals. The disturbance signal is modeled using a linear combination of damped sinusoidal components which are closely related to the phenomena typically observed in power
Supervisory Control of Families of Linear Set-Point Controllers - Part 2: Robustness
- IEEE Trans. Automat. Contr
, 1998
"... A simply-structured high-level controller called a `supervisor' has recently been proposed in [1] for the purpose of orchestrating the switching of a sequence of candidate set-point controllers into feedback with an imprecisely modeled siso process so as to cause the output of the process to ap ..."
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Cited by 234 (26 self)
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, provided they are constant. This paper proves that without any further modification, the same supervisor can also perform this function in the face of norm-bounded unmodelled dynamics and moreover that none of the signals within the overall system can grow without bound in response to bounded disturbance
Robust and fast similarity search for moving object trajectories
- In Proc. ACM SIGMOD Int. Conf. on Management of Data
, 2005
"... An important consideration in similarity-based retrieval of moving object trajectories is the definition of a distance function. The ex-isting distance functions are usually sensitive to noise, shifts and scaling of data that commonly occur due to sensor failures, errors in detection techniques, dis ..."
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Cited by 155 (14 self)
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, disturbance signals, and different sampling rates. Cleaning data to eliminate these is not always possible. In this paper, we introduce a novel distance function, Edit Distance on Real sequence (EDR) which is robust against these data imper-fections. Analysis and comparison of EDR with other popular dis
DETECTION AND CANCELLATION OF IMPULSIVE DISTURBANCES USING MATLAB PROCEDURES
, 2003
"... Abstract − The paper deals with detection and elimination of impulsive disturbances, by the use of nonlinear algorithms based on weighted median filtering. The MATLAB procedures are applied here; they are used also in prewhitening and smoothing of the disturbed signal which can be a sequence of meas ..."
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Cited by 1 (1 self)
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Abstract − The paper deals with detection and elimination of impulsive disturbances, by the use of nonlinear algorithms based on weighted median filtering. The MATLAB procedures are applied here; they are used also in prewhitening and smoothing of the disturbed signal which can be a sequence
Observation of Disturbances for Multivariable Systems
"... Abstract:- This paper discusses the disturbance estimation problem for continuous-time multivariable dynamical systems with arbitrarily relative degrees. The disturbances, which are assumed bounded, refer to the combination of the external disturbances, the nonlinearities and the model uncertainties ..."
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. The estimation error of the disturbances is controlled by the design parameters. Further, the accuracy of the estimation also depends on the frequency of the disturbance signal for nonminimum phase systems. Key-Words:- Disturbance observer, multivariable systems, relative degree, nonminimum phase dynamical
Discrete-time adaptive command following and disturbance rejection with unknown exogenous dynamics
- IEEE Trans. Autom. Contr
"... This paper considers parameter-monotonic direct adaptive command following and disturbance rejection for single-input single-output minimum-phase linear time-invariant systems with knowledge of the sign of the high-frequency gain (first non-zero Markov parameter) and an upper bound on the magnitude ..."
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Cited by 24 (20 self)
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of the high-frequency gain. We assume that the command and disturbance signals are generated by a linear system with known characteristic polynomial. Furthermore, we assume that the command signal is measured, but the disturbance signal is unmeasured. The first part of the paper is devoted to a fixed
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