Current Issue : April - June Volume : 2015 Issue Number : 2 Articles : 8 Articles
Theproblem of evaluating the clothing creative design with dual hesitant fuzzy information is themultiple attribute decisionmaking\nproblem. In this paper, we have utilized dual hesitant fuzzy hybrid average (DHFHA) operator to develop the model to solve the\nmultiple attribute decision making problems for evaluating the clothing creative design. Finally, a practical example for evaluating\nthe clothing creative design is given to verify the developed approach....
We investigate the multiple attribute decision-making problems for evaluating the computer network security with intuitionistic\ntrapezoidal fuzzy information. We utilize the intuitionistic trapezoidal fuzzy weighted average (ITFWA) operator to aggregate\nthe intuitionistic trapezoidal fuzzy information corresponding to each alternative and get the overall value of the alternatives\nand then rank the alternatives and select the most desirable one(s) according to the distance between the overall value of the\nalternatives and ideal solution. Finally, an illustrative example for evaluating the computer network security is given....
This paper discusses the event-triggered consensus problem of multiagent systems. To investigate distributed event-triggering\nstrategies applied to general linear dynamics, we employ a dynamic controller to convert the general linear dynamic to the singleintegratormodel\nby a change of variable.Theconsensus value of these newstates is a constant so that the distributed event-triggering\nscheme is obtained under periodic event detections, in which agents with general linear dynamics require knowledge only of the\nrelative states with their neighbors. Further, an event-triggered observer is proposed to address the case that only relative output\ninformation is available.Hence, the consensus of both the state-based and observer-based cases is achieved by the distributed eventtriggered\ndynamic controller. Finally, numerical simulations are provided to demonstrate the effectiveness of theoretical results....
This paper presents a unique ESO-based fuzzy sliding-mode controller (FSMC-ESO) for a 3-DOF serial-parallel hybrid humanoid\narm (HHA) for the trajectory tracking control problem. The dynamic model of the HHA is obtained by Lagrange method and\nis nonlinear in dynamics with inertia uncertainty and external disturbance. The FSMC-ESO is based on the combination of the\nsliding-mode control (SMC), extended state observer (ESO) theory, and fuzzy control (FC). The SMC is insensitive to both internal\nparameter uncertainties and external disturbances. The motivation for using ESO is to estimate the disturbance in real-time. The\nfuzzy parameter self-tuning strategy is proposed to adjust the switching gain on line according to the running state of the system.\nThe stability of the system is guaranteed in the sense of the Lyapunov stability theorem. The effectiveness and robustness of the\ndesigned FSMC-ESO are illustrated by simulations....
This paper considers in flight parameter identification and icing location detection of the aircraft in a more common time-varying\nnature. In particular, ice accumulation is modeled as a continuous process, and the effect of the ice upon aircraft dynamics is to\nbe accreted with time. Time-varying case of the Hinf algorithm is implemented to provide in flight estimate of aircraft dynamic\nparameters, and the estimated results are delivered to a probabilistic neural network to decide icing location of the aircraft; an\nexcitation measure of the aircraft is also adopted in the network input layer. A database corresponding to different icing cases and\nseverities was generated for the training and test of the detection network. Based on the test results, the icing detection framework\npresented in this paper is believed to be with promising applicableness for our further studies....
PID controller is used in most of the current-speed closed-loop control of permanent magnet synchronous motors (PMSM) servo\nsystem. However, K\np, K\ni, and K\nd of PID are difficult to tune due to the multiple objectives. In order to obtain the optimal PID\nparameters, we adopt a NSGA-II to optimize the PID parameters in this paper. According to the practical requirement, several\nobjective functions are defined. NSGA-II can search the optimal parameters according to the objective functions with better\nrobustness. This approach provides a more theoretical basis for the optimization of PID parameters than the aggregation function\nmethod. The simulation results indicate that the system is valid, and the NSGA-II can obtain the Pareto front of PID parameters....
We investigate the multiple attribute decision making problems for evaluating the urban tourism management efficiency with\nuncertain linguistic information.We utilize the uncertain linguisticweighted averaging (ULWA) operator to aggregate the uncertain\nlinguistic information corresponding to each alternative and get the overall value of the alternatives and, then rank the alternatives\nand select the most desirable one(s). Finally, a numerical example for evaluating the urban tourism management efficiency with\nuncertain linguistic information is used to illustrate the proposed model....
In this paper, we propose a decentralized variable gain robust controller which achieves not only robust stability but also satisfactory\ntransient behavior for a class of uncertain large-scale interconnected systems. For the uncertain large-scale interconnected system,\nthe uncertainties and the interactions satisfy the matching condition. The proposed decentralized robust controller consists of a\nfixed feedback gain controller and a variable gain one determined by a parameter adjustment law. In this paper, we show that\nsufficient conditions for the existence of the proposed decentralized variable gain robust controller are given in terms of LMIs.\nFinally, a simple numerical example is included...
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