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The network connectivity in a group of cooperative robots can be easily broken if one of them loses its connectivity with the rest of the group. In case of having robustness with respect to one-robot failure, the communication network is termed biconnected. In simple words, to have a biconnected network graph, we need to prove that no articulation point exists. We propose a decentralized approach...
This paper addresses the solution of the Maxwell's eigenvalue problem on polyhedral meshes. In particular, it analyzes the convergence of the eigenvalues when the mesh is adaptively refined by using the constitutive inconsistency as error indicator.
Our recent studies confirmed that two normalized Laplacian spectral features, namely the multiplicity of the eigenvalue 1 (ME1) and the weighted spectral distribution (WSD), are critical for the robustness of the size-independent Internet structure. In this paper, we evaluate the two spectral features based on the comparison between real-world evolving Internet data and a sequence of sampling graphs...
The minimum variance distortionless response (MVDR) beamformer is known to be sensitive to steering vector error, especially when the desired signal is present in the training snapshots. The robust capon beamformer (RCB) can deal with this problem, but is computational expensive. A modification of RCB is presented utilizing the low-rank property of the steering matrix which consists of the steering...
The FEAST algorithm is a subspace iteration method that uses a spectral projector as a rational filter in order to efficiently solve interior eigenvalue problems in parallel. Although the solutions from the FEAST algorithm converge rapidly in many cases, convergence can be slow in situations where the eigenvalues of a matrix are densely populated near the edges of the search interval of interest,...
This paper proposes a complete parametric approach for eigenstructure assignment in second-order system Mq̈+Dq̇+kq=cu using the displacement-plus-acceleration feedback controller. The expressions of closed-loop eigenvector matrix and feedback gains are in direct closed forms in terms of the closed-loop eigenvalues and a group parameter vectors, which represents the degree of design freedom. The main...
Superdirective beamformers with uniform circular arrays (UCAs) are often used in communication applications for their steering flexibility and potential high directivity factors (DFs). This paper proposes two classes of subspace superdirective beamformers. The first class is based on the diagonalization of the noise pseudo-coherence matrix with the Fourier matrix while the second one is based on the...
This paper proposes a robust power system stabilizer (PSS) using Lyapunov Stability theory introduced in Optimization & Control in Power System class at University of South Florida. This research examines the robustness of the novel PSS in the synchronous generator connected to an infinite bus (SMIB) system under multiple operation conditions. After deriving the state space matrices of the linear...
In this paper a practical approach to design an optimal robust Power System Stabilizer (PSS) is presented which improves the PSS dynamic performance facing uncertainty in its model parameters. Generally, the PSS system is a critical element in increasing the damping of the system in an emergency condition and it is necessary to strengthen its dynamic characteristics against any uncertainty in its...
Activity recognition and activity boundary detection are two separate long-standing challenges in the image processing literature. In activity recognition, a predefined set of activities is classified using features. Often, subjects do not perform meaningful activities in all the frames, thus requiring the identification of the beginning and the end of the set of contiguous frames containing the activity...
Object recognition based on local features computed at multiple locations is robust to occlusions, strong viewpoint changes and object deformations. These features should be repeatable, precise and distinctive. We present an operator for repeatable feature detection on depth images (relative to 3D models) as well as 2D intensity images. The proposed detector is based on estimating the curviness saliency...
In this paper, we propose a robust edge indicator employing two eigenvalues of nonlocal structure tensor matrix. In our method, a new nonlocal structure tensor is first constructed. This structure tensor is robust to noise, which inherits from nonlocal means algorithm. Furthermore, based on the constructed nonlocal structure tensor, a new and edge indicator is built, which can effectively differentiate...
Dimensionality reduction is an important issue in information processing and has popular applications in many fields, where locally linear embedding (LLE) is widely used due to accuracy and simple to implement. However, LLE is lack of robustness, and sensitive to local structure that can't preserve neighborhood character sometimes. Instead, Laplacian eigenmaps (LE) can overcome these weaknesses. In...
In this paper an useful application of a new right H-inverse to stabilization of perfect control for LTI MIMO discrete-time systems in state-space is shown. Following the recently introduced H-inverse, its intriguing property giving the stable perfect control is indicated here. Now, the SVD-based H-inverse with parameter and polynomial degrees of freedom clearly outperforms the classical minimum-norm...
Most of the blind source separation (BSS) models assume that the independent sources are observed through some unknown mixing process in the absence of noise. However, the additive noise may be present in many practical applications. The bias caused by noise will limit the separation performance of the BSS algorithm. The existing modified algorithms based on quasi-whitening only can improve the signal-to-interference...
According to the operation of the automaton transient impact, nonlinear, non-stationary signal, a method which is based on the time-frequency characteristics and PCA-SVM automaton fault diagnosis is proposed. Firstly, this paper uses statistical analysis and overall empirical mode decomposition method to construct high dimensional mixed domain initial feature vector from the characteristics of different...
The paper presents the design of an output feedback based centralized, damping controller using partial right eigenstructure assignment technique. The algorithm exploits the extra degrees of freedom provided by multi-input-multi-output (MIMO) systems in partially assigning a few, selected eigenvectors in addition to corresponding eigenvalues. Singular value decomposition (SVD) is used for determining...
This paper studies how to sample load more realistically and efficiently for security constraint unit commitment (SCUC) problems in order to achieve a high degree of robustness of the unit commitment (UC) solution. For example, given the UC solution, 95% of load profiles can be supplied. Principal component analysis (PCA) is introduced to find a clear feature of the historical load in two-dimensional...
In this paper, a technique for designing fixed parameter decentralized power system stabilizers (PSSs) for interconnected power systems is proposed. In the proposed method, local information available at each machine in the multimachine environment, is used to tune parameters of PSS. Conventional design techniques such as P-Vr frequency response approaches, and the method of residues are based on...
This work proposes a new approach to cope with robust stabilization of uncertain linear systems. Differently from the traditional methods in the literature, that employ slack and scalar variables to provide more relaxed conditions than the ones based on quadratic stabilization, a new strategy is proposed to iteratively search for the robust gain directly on the decision parameter space (no change...
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