33,606 research outputs found
Adaptive design of delta sigma modulators
In this thesis, a genetic algorithm based on differential evolution (DE) is used to generate delta sigma modulator (DSM) noise transfer functions (NTFs). These NTFs outperform those generated by an iterative approach described by Schreier and implemented in the delsig Matlab toolbox. Several lowpass and bandpass DSMs, as well as DSM\u27s designed specifically for and very low intermediate frequency (VLIF) receivers are designed using the algorithm developed in this thesis and compared to designs made using the delsig toolbox. The NTFs designed using the DE algorithm always have a higher dynamic range and signal to noise ratio than those designed using the delsig toolbox
Least Squares Estimation-Based Synchronous Generator Parameter Estimation Using PMU Data
In this paper, least square estimation (LSE)-based dynamic generator model
parameter identification is investigated. Electromechanical dynamics related
parameters such as inertia constant and primary frequency control droop for a
synchronous generator are estimated using Phasor Measurement Unit (PMU) data
obtained at the generator terminal bus. The key idea of applying LSE for
dynamic parameter estimation is to have a discrete
\underline{a}uto\underline{r}egression with e\underline{x}ogenous input (ARX)
model. With an ARX model, a linear estimation problem can be formulated and the
parameters of the ARX model can be found. This paper gives the detailed
derivation of converting a generator model with primary frequency control into
an ARX model. The generator parameters will be recovered from the estimated ARX
model parameters afterwards. Two types of conversion methods are presented:
zero-order hold (ZOH) method and Tustin method. Numerical results are presented
to illustrate the proposed LSE application in dynamic system parameter
identification using PMU data.Comment: 5 pages, 6 figures, accepted by IEEE PESGM 201
MatSWMM - An open-source toolbox for designing real-time control of urban drainage systems
This manuscript describes the MatSWMM toolbox, an open-source Matlab, Python, and LabVIEW-based software package for the analysis and design of real-time control (RTC) strategies in urban drainage systems (UDS). MatSWMM includes control-oriented models of UDS, and the storm water management model (SWMM) of the US Environmental Protection Agency (EPA), as well as systematic-system edition functionalities. Furthermore, MatSWMM is also provided with a population-dynamics-based controller for UDS with three of the fundamental dynamics, i.e., the Smith, projection, and replicator dynamics. The simulation algorithm, and a detailed description of the features of MatSWMM are presented in this manuscript in order to illustrate the capabilities that the tool has for educational and research purposes.Peer ReviewedPostprint (author's final draft
The tropical double description method
We develop a tropical analogue of the classical double description method
allowing one to compute an internal representation (in terms of vertices) of a
polyhedron defined externally (by inequalities). The heart of the tropical
algorithm is a characterization of the extreme points of a polyhedron in terms
of a system of constraints which define it. We show that checking the
extremality of a point reduces to checking whether there is only one minimal
strongly connected component in an hypergraph. The latter problem can be solved
in almost linear time, which allows us to eliminate quickly redundant
generators. We report extensive tests (including benchmarks from an application
to static analysis) showing that the method outperforms experimentally the
previous ones by orders of magnitude. The present tools also lead to worst case
bounds which improve the ones provided by previous methods.Comment: 12 pages, prepared for the Proceedings of the Symposium on
Theoretical Aspects of Computer Science, 2010, Nancy, Franc
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