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We study streaming principal component analysis (PCA), that is to find, in O(dk) space, the top k eigenvectors of a d× d hidden matrix \bold \Sigma with online vectors drawn from covariance matrix \bold \Sigma.We provide global convergence for Ojas algorithm which is popularly used in practice but lacks theoretical understanding for k≈1. We also provide a modified variant \mathsf{Oja}^{++}...
The stabilization with a General Dissipativity Constraint (GDC) has been governed by the non-negativeness of ΔV(x, k) along the trajectories (i.e. ΔV(x, k) 0), in which ΔV(x, k) 0 is a storage function. We have stated and proved the state convergence with the GDC a previous work, but the stability has not been addressed thoroughly. In this paper, we analyze the stability that is obtained from...
This paper proposes a new continuous terminal sliding mode guidance law for three-dimensional missile guidance system under maneuvering target with consideration of second-order autopilot dynamics. The proposed guidance law not only guarantees the azimuth rate and elevation rate of guidance system converge to zero in finite time but also ensures the continuity of control action. Simulations of a practical...
Microbial Fuel Cell (MFC) power production and Microbial Electrolysis Cell (MEC) organic production depend strongly on their dynamic environment conditions, like inlet substrate concentration, temperature, etc. This work presents a discrete extremum seeking controller to quickly tune the MFC and MEC electrical settings in order to achieve maximum performance irrespective of these dynamic environment...
Iterative learning control (ILC) is a simple technique devised for repetitive systems. In this work, an inter-sample ILC algorithm is proposed for the speed control problem of an induction motor. The proposed algorithm is mathematically analyzed and validated using a real-time experiment. Its performance is observed to be better than that of PI based Field Oriented Control (FOC) regarding convergence...
In this paper, the simultaneous trajectory tracking of the speed and the flux state variables of induction machines is realized. Nonlinear feedback control laws are designed to make both the rotor speed and the flux variables reach the desired nominal values in finite time. In this study, the speed, the stator currents, and the flux are assumed to be available for measurement. Numerical simulations...
This research is focusing on causality between activities of ICT firms and technological changes as convergences with a research question about how ICT firms should do for technological convergence, as well as factors that enable accelerating that technological convergence from their perspective. Therefore, this study sees ICT convergence as a technological change from the interaction between ICT...
This paper deals with the design of a Proportional Multiple Integral (PMI) observer for Takagi-Sugeno systems with immeasurable premise variables subjected to unknown inputs. The introduction of an output error injection in the premise variable of the PMI observer allows to significantly reduce the conservatism of LMI-based stability conditions. A simulation example of a chaotic system is given to...
This paper addresses the problem of acoustic noise reduction and speech enhancement in new telecommunication systems by adaptive filtering algorithms. We propose a new two-channel forward BSS algorithm based on signal prediction to give an automatic algorithm with a very nice behavior at the output. This algorithm is called the two-channel fast normalized least mean square (TCFNLMS) algorithm. This...
In this paper a Genetic Algorithm (GA) is used to partition a distribution network with the aim to minimize the energy exchange among the microgrids (i.e. maximize self-consumption) in presence of distributed generation. The proposed GA is tested on the IEEE prototypical network PG & E 69-bus. The microgrid partitioning is tested over a period of one year with hourly sampled data of real household...
In several previous works, the two-channel adaptive filtering algorithms have been proposed and combined with forward-and-backward blind source separation structures for acoustic noise reduction and speech enhancement. Recently in [1], we have proposed a new two-channel subband forward algorithm (2CSF) for acoustic noise reduction. The main drawback of this algorithm is its poor performance in steady...
This study collects reports related to the future electric power industry, analyzes the text data of the report, and reviews key issues related to ICT convergence by a period. As a result, ICT convergence discussions have been ongoing, but discussions on the types, functions, and utilization of ICTs are more specific than the effects provided by ICTs in recent years. ICTs are becoming increasingly...
We consider a large system populated by n anonymous nodes that communicate through asynchronous and pair-wise interactions. The aim of these interactions is for each node to converge toward a global property of the system, that depends on the initial state of each node. In this paper we focus on both the counting and proportion problems. We show that for any δ ∊ (0, 1), the number of interactions...
Cuckoo Search is a recent nature-inspired metaheuristic algorithm, inspired by the cuckoo birds' aggressive strategy to breeding. The Cuckoo Search algorithm iteratively uses a Lévy flight random walk to explore a search space. The Lévy flight mechanism takes sudden turns of 90 degrees and consequently the Cuckoo's Search strategy does not carefully search around the cuckoos' nest, and hence it suffers...
In the last few decades, many opinion formation models have been proposed to describe how opinion interactions among individuals result in different distributions of opinions within social systems. Emotion plays a key role when people try to influence others' opinions, but applying emotion to opinion formation models has attracted little attention. In this paper, we discuss how emotion can affect...
There have been significant progresses in single image super-resolution (SR) using deep convolutional neural network. In this paper, we propose a modified deep convolutional neural network model incorporated with image texture priors for single image SR. The model consist of a particular feature extraction layer followed by image reconstruction process, aiming to centralize on the image texture information...
Distribution network reconstruction has caused widespread concern of the community. Firstly, the method of calculating the power flow of the ant colony algorithm is analyzed, and puts forward the hybrid modified ant colony algorithm of distribution network reconfiguration method, using simulated annealing algorithm to generate the ant pheromone distribution, with increasing attachment branch impedance...
In this paper, it addresses a sort of predictive control with the delay compensation for a kind of nonlinear networked control systems, which have packet dropouts and delays in both sensor-to-controller channel and controller-to-actuator channel. Firstly, an event trigger is designed at the controller side to save the limited resources. Only when the control signals satisfy the event-triggered condition,...
This paper studies the problem of finite-time stabilization for a class of uncertain nonholonomic systems in chained form with output constraint. A nonlinear mapping is first introduced to transform the output-constrained system into a new unconstrained one. Then, by employing the adding a power integrator technique and switching control strategy, a state feedback controller is successfully constructed...
Underwater acoustic (UWA) channel is a complex time-space- and frequency-variant channel, which is one of the most difficult wireless communication channels so far. Coherent communication has become a hotspot in high speed underwater acoustic communication. To achieve the low bit error rate and high data transmission rate, the channel equalization technique must be introduced for coherent underwater...
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