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Many engineering applications requires solving the fuzzy equations. A method to solve first order fuzzy linear equations using modal interval approach is suggested. The modal interval arithmetic is applied to solve these fuzzy equations, for each ??-cut, which is computationally efficient. Some basic definitions and operations of modal interval arithmetic are included here. Simulation examples validates...
This paper discusses the evaluation of new infrastructure planning approaches. These new planning approaches have been put forward in response to the challenges of deep uncertainty about the future. However, these approaches up till now have seen little real word applications. One important reason for this lack of application is that the efficacy of these approaches has not been established yet. In...
Theoretically, e-customers gain more benefit than traditional customers as they can access products and services 24-hours a day from anywhere in the world. However, practically, e-business has not been accepted in spite of its availability and the increased number of internet users in developing countries such as in the Middle East. National cultures combined with other factors affect user acceptance...
Cloud computing provides users an efficient way to dynamically allocate computing resources to meet demands. Cloud providers can offer users two payment plans, i.e., reservation and on-demand plans for resource provisioning. Price of resources in reservation plan is generally cheaper than that in on-demand plan. However, since the reservation plan has to be acquired in advance, it may not fully meet...
A hierarchical Bayesian fuzzy inference nets realtime internal fault diagnostic system for induction motor is proposed. The membership functions and symptom-fault mapping relationship for motor fault diagnosis are obtained from pre-measured site experimental data as well as experts' diagnostic experience/knowledge to distinguish the effect of true fault from various external static factors. With the...
The study of multi-objective optimization has matured to a level where uncertainty is considered when comparing and evaluating solutions for any given problem. This paper reviews the current techniques that have been proposed to include uncertainty within a multi-objective framework. Probabilistic as well as fuzzy methods are reviewed. A new method to identify sample representative solutions from...
This paper investigates the robust delay-dependent stability problem of a class of linear uncertain system with interval time-varying delay, and proposes less conservative stability criteria for computing the maximum allowable bound of the delay range. The proposed stability criteria are based on the delay central point technique wherein the delay interval is partitioned into two sub-intervals of...
Network security has become a major concern in recent years. In this research, we present an entropy-based network traffic profiling scheme for detecting security attacks. The proposed scheme consists of two stages. The purpose of the first stage is to systematically construct the probability distribution of relative uncertainty for normal network traffic behavior. In the second stage, we use the...
This paper proposes a probabilistic unit commitment (UC) formulation to incorporate uncertain PV power or other intermittent energy sources using stochastic programming framework. The objective of this problem is to minimize the expected total cost during the decision time range. The proposed method is implemented to a small 9-bus test system using CPLEX and MATLAB. Several case studies are performed...
This paper proposes a new technique for designing a fixed-structure robust load frequency controller for a two area interconnected power system. The proposed technique uses Linear Matrix Inequality (LMI) method to form an initial solution, and then the global search algorithm, Compact Genetic Algorithm (cGA), is adopted for evaluating the final solution. By combining both techniques, LMI and cGA,...
An recurrent fuzzy neural network (RFNN) compensation strategy combined with the backstepping approach for permanent magnet linear synchronous motors (PMLSMs) drive is proposed. Considering the lumped uncertainties with parameter variations and external disturbance for an actual PMLSM drives, a backstepping control law is derived by backstepping design technique. However, the upper bound of the lumped...
This paper presents a methodology to solve radial distribution networks load flow problem, wherein the input data are uncertain due to measurement errors. In order to deal with these here the uncertainties, interval mathematics (IM) tool has been applied to obtain the interval load flow solution. The data arrangement to account for uncertainties, the complex load currents at the buses and line parameters...
In aggregation problems different types of information items can occur. In spite of such diversity, it is possible to reinterpret them approximately in a unique formal setting by means of profiles: an extension of fuzzy set membership functions. Then the original aggregation problem can be modelled by an appropriate profile aggregation. Therefore, in this paper we concentrate on and reconsider some...
In the paper a preliminary system construction and solution of the risk management principle is given. The solution is based on the multilevel model construction and grouped risk factors. The risk management principle is given based on structured risk factors classification and on the fact, that some risk factor groups, risk factors or management actions have a weighted role in the system operation...
This paper explores a sensor fusion method within Smart Homes to be used to monitor human activities in addition to managing uncertainty in sensor based readings. A case study has shown that the Dempster-Shafer theory of evidence can incorporate the uncertainty derived from the sensor errors and the sensor context and infer the activity. The results from this work show that this method can detect...
Expanding the extra high voltage transmission system and improving the transfer capability of the network are the primary tasks of the power network. With the increasing expansion transmission system scale, the super large scale network has taken shape. According to the definition of available transfer capability by North America Electric Reliability Council (NERC), we know that ATC not only depends...
This paper addresses robust H∞ fuzzy state feedback control problem for T-S fuzzy systems with time-varying norm-bounded uncertainties. Sufficient conditions are derived in terms of a set of linear matrix inequalities (LMIs). The proposed approach is very simple and more relaxed than other literatures. The effectiveness of the proposed design method is demonstrated by an example for the control of...
Experimental acquisition of spatially distributed parameters in large scale vessels and containers is of great interest for investigation and optimization of plants and processes such as stirred tanks, chemical reactors or bioreactors. For the measurement of process parameters in a stirred fermentation biogas reactor we developed the concept of neutrally buoyant self-powered sensor particles. The...
We consider a secure lossless source coding problem with a rate-limited helper. In particular, Alice observes an i.i.d. source Xn and wishes to transmit this source loss-lessly to Bob at a rate Rx. A helper, say Helen, observes a correlated source Yn and transmits at a rate Ry to Bob. A passive eavesdropper can observe the coded output of Alice. The equivocation ?? is measured by the conditional entropy...
This paper addresses robust linear dimensionality reduction (RLDR) for binary Gaussian hypothesis testing. The goal is to find a linear map from the high dimensional space where the data vector lives to a low dimensional space where the hypothesis test is carried out. The linear map is designed to maximize the detector performance. This translates into maximizing the Kullback-Leibler (KL) distance...
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