Current Issue : July - September Volume : 2013 Issue Number : 3 Articles : 6 Articles
A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to\r\nunderstand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy\r\nlinguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is\r\ndemonstrated by the result of intellectual capital performance evaluation for a sample company....
In general, the modelling of wind turbines is a challenging task, since they are complex dynamic systems, whose aerodynamics\r\nare nonlinear and unsteady. Accurate models should contain many degrees of freedom, and their control algorithm design must\r\naccount for these complexities. However, these algorithms must capture the most important turbine dynamics without being\r\ntoo complex and unwieldy, mainly when they have to be implemented in real-time applications. The first contribution of this\r\nwork consists of providing an application example of the design and testing through simulations, of a data-driven fuzzy wind\r\nturbine control. In particular, the strategy is based on fuzzy modelling and identification approaches to model-based control\r\ndesign. Fuzzy modelling and identification can represent an alternative for developing experimental models of complex systems,\r\ndirectly derived directly from measured input-output data without detailed system assumptions. Regarding the controller design,\r\nthis paper suggests again a fuzzy control approach for the adjustment of both the wind turbine blade pitch angle and the generator\r\ntorque. The effectiveness of the proposed strategies is assessed on the data sequences acquired from the considered wind turbine\r\nbenchmark. Several experiments provide the evidence of the advantages of the proposed regulator with respect to different control\r\nmethods....
The firefighting operation motion has an important impact on the safety and comfort of firefighting operation. As a judgment criterion of the firefighting efficiency, the comfort level is hard to judge in that it is completely decided by human feeling, so the comprehensive fuzzy evaluation is utilized for evaluation of comfort level. In this paper, firstly the factor and judgment set of firefighting operation comfort level are determined, and the fuzzy weight evaluation is obtained by questionnaires and analytic hierarchy process. Secondly, the joint angles of some particular motions are determined by motion capture equipment, the moment is obtained by ergonomic engineering software, and then the comprehensive comfort evaluation on firefighting operation motion is completed. Finally, the objective evaluation system of firefighting operation comfort is established....
Nowadays network control systems present a common approximation when connectivity is the issue to be solved based on time\r\ndelays coupling from external factors.However, this approach tends to be complex in terms of time delays. Therefore, it is necessary\r\nto study the behavior of the delays as well as the integration into differential equations of these bounded delays. The related\r\ntime delays needs to be known a priory but from a dynamic real-time behavior. To do so, the use of priority dynamic Priority\r\nexchange scheduling is performed. The objective of this paper is to show a way to tackle multiple time delays that are bounded\r\nand the dynamic response from real-time scheduling approximation. The related control law is designed considering fuzzy logic\r\napproximation for nonlinear time delays coupling, where the main advantage is the integration of this behavior through extended\r\nstate space representation keeping certain linear and bounded behavior and leading to a stable situation during events presentation\r\nby guaranteeing stability through Lyapunov....
In this paper we consider the tracking control\r\nproblem of planar robots manipulators via visual\r\nservoing in the presence of parametric uncertainties\r\nassociated with the robot dynamics and the camera\r\nparameters. An imageââ?¬â??based visual servo control is\r\ndeveloped using a Takagiââ?¬â??Sugeno (Tââ?¬â??S) fuzzy model.\r\nThe design includes an image coordinate velocity\r\nobserver. To the best knowledge of the authors such a\r\nproposalremainshithertounpublished.Thenewscheme\r\niscomparedexperimentallywithtwodifferentnonââ?¬â??fuzzy\r\nalgorithms showing the good performance and\r\nadvantagesofthecompletesystem....
The paper presents new conditions suitable in design of a stabilizing output controller for a class of continuous-time nonlinear systems, represented by Takagi-Sugeno models. Taking into account the affine properties of the TS model structure and applying the fuzzy control scheme relating to the parallel distributed output compensators, the sufficient design conditions are outlined in terms of linear matrix inequalities. The proposed procedure decouples the Lyapunov matrix and the system parameter matrices in the LMIs and guarantees global stability of the system. Simulation result illustrates the design procedure and demonstrates the performances of the proposed design method....
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