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Memristive neural network is a special structure of the power system, Its stability plays a very important role in practical applications. In this paper, by analyzing the stability of the system and the synchronization of two memristive neural networks, we get a new stability and synchronization criterion with using lyapunov functional method and inequality method. In addition, the new proposed algebraic...
In this paper, we study the optimal tracking performance problem of continuous-time linear multi-input multi-output (MIMO) networked control systems. The unstable and non-minimum phase systems is considered. The output feedback path is subject to quantization noise, additive white Gaussian noise and bandwidth constraints, and encoding and decoding are considered. The reference input is a random signal...
With the rise of social media, traditional customers have increasingly associated with a variety of complex online social interactions and formed fully new user characteristics and user relationship patterns. The changes brought traditional customer relationship management a great impact and forced companies to adapt, change and evolve. Relevant studies about the social customer relationship management...
Connected Dominating Set Problem is a fundamental problem in connected facility location and studied intensively in computer science and operations research and it is also a central problem in wireless networking. Maximum Leaf Spanning Tree Problem (MLSTP) is related with investigating scale-free networks. We investigate the collapse of graphs since “robust yet fragile” is an important character of...
Quantification of Margins and Uncertainties (QMU) is a methodology for assessing the confidence in the performance of complex systems, and has been applied to general engineering areas. In this paper, the concept and process of QMU is introduced at first, and then an implementation framework of QMU is proposed for structural analysis considering uncertainty. The framework is a synthesis of several...
Vehicle routing problem has been largely studied because of its application in logistic and supply chains management. A number of algorithms inspired by the foraging behaviors of ant colonies have recently been applied to solve vehicle routing problem and its variants. The behavior of ant colonies algorithms depends strongly on the values given to parameters. In most applications, parameter values...
Based on the conditions of a less detective devices and less-function of drug boxes on the current market, this paper presents the design of drug boxes detection device. When drug boxes is moving on the conveyor belt driven by the motor, infrared sensors detect the number of drugs boxes, and according to the number set for the specified packing box. Then the numbers of box is displayed on the LCD...
In order to solve the short-life, frequent failures and other defects of existing general fluorescent lamp ballasts, which is being used in Urban roadside billboards, the paper developed a kind of high-frequency DC / AC converter for driving multiple lamps focused to reduce EMI (Electro Magnetic Interference), reduce costs and improve power factor.
At present, the methods of risk warning emphasize static function dependency or dynamic propagation of time series so that the static and dynamic information can not be consistently combined. In this paper, a dynamic multi-hierarchical Bayesian network classifier is developed for warning operational risk. And an example is presented to explain the process of operational risk early-warning and method...
Pattern Oriented Modeling (POM) is an approach to bottom-up complex system analysis which was developed in ecology and for agent-based complex systems. This paper proposes a pattern-oriented agent-based simulation (POABS) approach to analyze agent-based complex system. We apply POABS to a history simulation domain to analyze a particular family line with more successful candidates in the civil service...
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