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This paper investigates the consensus problem of a class of multi-agent systems with switching and undirected topologies subjected to external disturbances. By model transformation, the consensus problem is changed into the energy-to-peak control of a reduced-order closed-loop system. Then, with the aid of graph theory, Lyapunov stability theory and some decoulping techniques, a new LMI-based method...
This paper deals with the problem of observer-based control for stochastic multi-agent systems with time-delay. The aim is to design a controller such that the system asymptotically reaches global consensus in mean square. By constructing an appropriate Lyapunov-Krasovskii functional and using an effective decoupling method, a sufficient condition in the form of LMIs for ensuring the existence of...
As the energy crisis has become increasingly prominent, for power supply products, people's attention is no longer focused on CAPEX (Capital Expenditure) only; OPEX (Operating Expense) is also becoming more and more important. The constant pursuit of efficiency improving for power supply products has become an inevitable trend. This paper introduces a 3000W super high efficient rectifier module with...
This paper deals with the problem of the energy-to-peak control for nonlinear Markovian jump systems via Takagi-Sugeno fuzzy model approach. Our purpose is to design retarded feedback controller such that the resulting closed-loop system is stochastically stable with a prescribed energy-to-peak performance. By using a novel augmented Lyapunov functional method and the LMI relaxation technique, a sufficient...
The maximum output power of photovoltaic (PV) depends on the ambient temperature and light conditions. Maximum power point tracking always enable PV arrays produce maximum output power. Perturbation and observation (P&O) is an important and efficient method among maximum power point tracking because it has many advantages such as simple algorithm, high reliability and fast tracking. P&O method...
The spectral efficiency of distributed multiple antenna system in composite fading is considered. Using random Wishart matrix theory and Gauss-Hermite quadrature, we derived analytical expression for its ergodic capacity. The theoretical expressions are validated by numerical results. It is show that distributed multiple antenna system promise significant capacity gains over collocated multiple antenna...
With the development of computer simulation technology and the requirement of enhancing the fidelity of combating training on the sea, it is inevitable to integrate computer computer generated forces(CGFs) into military simulation system. And the CGFs must act as an actual enemy commander in the virtual sea battle space. For the purpose of reuse and expandability of a synthetical combating simulation...
This paper deals with the problem of stability analysis for neural networks with discrete and distributed delays. By constructing new Lyapunov-Krasovskii functionals, two criteria for the existence of a unique equilibrium point and its global asymptotic stability of the neural networks are developed in terms of linear matrix inequalities. Numerical examples are provided to illustrate the effectiveness...
The lighting system consisting of LED street light system, power grid, photovoltaic (PV) arrays and inverting control system of grid-connected PV was investigated. The excess power generated from PV can be transported into power grid through an inverter which changes direct current (DC) into alternating current (AC) using current hysteresis control. PLC controls when to light LED and whether the battery...
Manual bacteria classification is a tedious work which often needs abundant correlative data and also takes a great deal of time and energy. Combining pattern recognition and new neural network, we propose an approach of bacteria classification based on morphometrics using artificial neural network. The neural network is applied to extract the feature. The entropy sequence is taken as the feature...
Combining with Shuangjiangkou Dam with height of 312 m, we make a study on the spectrum characteristics of rockfill dams with core wall adopting the dynamic model which reflects vibration-hardening character of coarse rockfill materials. The rationality of the model and parameters is verified by comparing calculated values with measured values of natural vibration period and shear-wave velocity. In...
In China, there are some wide and environment-disgusting offshore, which is not easy for manpower or ordinary ship to monitor. What's more, ship with special materials is too expensive. This paper introduces a human-robot named OFFSHORE_1. It's a half-intelligence robot, which can be used in the disgusting offshore environment. The robot can explore remote environment for monitoring, research and...
Lead generation library design is an iterative process of selecting compounds that would make ideal drug candidates. We propose a visual analytics model for effective evaluation of various compound selection strategies. This model incorporates a clustering strategy and a set of evaluation metrics for understanding the current state of knowledge to enable decision making and process customization between...
Since clustering algorithms are heuristic, multiple clustering algorithms applied to the same dataset will typically not generate the same sets of clusters. This is especially true for complex datasets such as those from microarray time series experiments. Two such microarray datasets describing gene expression activities from regenerating newt forelimbs at various times following limb amputation...
Digital cameras are widely used in many applications, such as digital still cameras, camcorders, camera phones, and video surveillance. The image pipeline plays a key role in digital camera systems by generating a digital color image in real time from raw data captured by a camera sensor. However, tuning an image pipeline for a particular camera system is a challenging task because different lenses,...
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