The aim of this paper is to dress up a guideline to choose a suitable forecasting technique with fuzzy logic support. First of all, the smart grids, framework for low-voltage networks with distributed energy from rene...
详细信息
In this paper, we consider the asymptotic stabilization of a class of one dimensional boundary controlled port Hamiltonian systems by an immersion/reduction approach and the use of Casimir invariants. We first extend ...
详细信息
In this paper, we consider the asymptotic stabilization of a class of one dimensional boundary controlled port Hamiltonian systems by an immersion/reduction approach and the use of Casimir invariants. We first extend existing results on asymptotic stability of linear infinite dimensional systems controlled at their boundary to the case of stable Port Hamiltonian controllers including some physical constraints as clamping. Then the relation between structural invariants, namely Casimir functions, and the controller structure is computed. The Casimirs are employed in the selection of the controllers Hamiltonian to shape the total energy function of the closed loop system and introduce a minimum in the desired equilibrium configuration. The approach is illustrated on the model of a micro manipulation process with partial-actuation on one side of the spatial domain.
In recent years wind energy is the fastest growing branch of the power generation industry. The largest cost for the wind turbine is its maintenance. A common technique to decrease this cost is a remote monitoring bas...
详细信息
In recent years wind energy is the fastest growing branch of the power generation industry. The largest cost for the wind turbine is its maintenance. A common technique to decrease this cost is a remote monitoring based on vibration analysis. Growing number of monitored turbines requires an automated way of support for diagnostic experts. As full fault detection and identification is still a very challenging task, it is necessary to prepare an "early warning" tool, which would focus the attention on cases which are potentially dangerous. There were several attempts to develop such tools, in most cases based on various classification methods. As the ART neural networks are capable to perform efficient classification and to recognize new states when necessary, they seems to be a proper tool for classification of vibration signals of bearing in gears in wind turbines. The verification of ART-2 networks efficiency in this task is the topic of this paper.
This paper proposes a pitch angle forecasting model based on the k-nearest neighbor classification. Air temperature, atmosphere pressure, wind direction, wind speed, rotor speed and wind power parameters were represen...
详细信息
This paper is concerned with the optimal finite-time stabilization problem for nonlinear systems. For the given stabilization strength, a new switching protocol is designed to stabilize the system with a fast speed. T...
详细信息
This paper is concerned with the optimal finite-time stabilization problem for nonlinear systems. For the given stabilization strength, a new switching protocol is designed to stabilize the system with a fast speed. The obtained protocol covers both continuous control and discontinuous one under the framework of Filippov solutions. Some criteria are discussed in detail on how to choose an optimal protocol such that the finite stabilization time can be shortened. Finally, the main theory results are applied to the general neural networks by one numerical example to illustrate the effectiveness of the proposed design method.
The paper presents a formal approach to the semantic interpretation of scientific and technical texts. Semantic proximity expression by means of a linguistic variable and its application to the information retrieval a...
详细信息
The paper presents a formal approach to the semantic interpretation of scientific and technical texts. Semantic proximity expression by means of a linguistic variable and its application to the information retrieval and documents classification are shown.
Microblogs have created a fast growing social network on the Internet and community detection is one of the subjects of great interest microblogs network analysis. The "follow" relationships highlighted in m...
详细信息
The paper contains the description of ASICPlacementAnalyzer software tool, designed for the analysis of statistic characteristics of input data for ASIC placement problem, and for visualization of various representati...
详细信息
ISBN:
(纸本)9781479920976
The paper contains the description of ASICPlacementAnalyzer software tool, designed for the analysis of statistic characteristics of input data for ASIC placement problem, and for visualization of various representations of input data and placement results. The software tool was designed using C# and C++ programming languages. The tool could be used for preliminary experimental research in the field of development of custom ASIC placement algorithms, with the aim of getting idea about the character and structure of input data and characteristic features of the problem formulation.
Bayesian network (BN) is the popular and important probabilistic graphical model for representing and inferring uncertain knowledge. Learning BN from massive data is the basis for uncertain-knowledge-centered inferenc...
详细信息
暂无评论