[PDF] Top 20 Optimization study of fuzzy parametric uncertain system

... the fuzzy parametric uncertain system. An LTI system in which coefficients depends on parameters described by a fuzzy function is called as fuzzy parametric ... See full document

... hydraulic system, etc. It important to study behavior of nonlinear ...nonlinear system is Optimization. The dynamic of non-linear system can be strongly depends on either one or more ... See full document

... logical system based on the generalization, of traditional bivalent logic, in order to infer in uncertain circumstances, In narrow sense, it is theories and techniques that use blurry groups that are ... See full document

... (FRE), fuzzy rela- problems have been investigated by many re- searchers in both theoretical and applied areas [4, 5, 8, 11, 13, 18, 32, 33, 35, ...the uncertain information upon which many applied concepts ... See full document

... with fuzzy parameters either in the constraints or in the objective functions without any differentiability assump- ...These fuzzy parameters are characterized by triangular fuzzy numbers ...the ... See full document

... Systems Optimization and Parameter Estimation (DISOPE) ...this study is to overcome this convergence problem by modifying the ...This study succeeded in overcoming the problem of slow convergence and ... See full document

... The fuzzy logic control allows the existence of uncertainty in handling parameter ...values. Fuzzy logic system comprises a fuzzifier, membership functions, a fuzzy rule base, an inference ... See full document

... Swarm Optimization (PSO) to optimize the Proportional Integral gains for Load Frequency Control (LFC) in a restructured power system that operates under Bilateral based policy ...of system parameters ... See full document

... a simple indication of the system behavior. There are dierent methods for determining the primary model structure of fuzzy inference system, among which grid partition and Subtractive Clustering ... See full document

... railing system which helps to operate the cleaner using Belt transmission ...collection system. The present automatic centralized waste collection system consists of pipeline connection and separate ... See full document

... (Ključne besede: toplovodni sistemi, optimiranje, eksergijska razgradnja, eksergijske izgube) A thermo-economic optimization method fo r a hot-water distribution pipe is presented. The method is based on the ... See full document

... Abstract In this paper, the robust stability of T-S fuzzy uncertain system for neural networks with time-varying delays is investigated. The constraint on the time-varying delay function is removed, ... See full document

... a fuzzy system and its membership functions. Fuzzy systems are, today, one of the most efficient methods in the field of forecasting and modelling (Akbarzadeh et ...Using fuzzy logic capa- ... See full document

... this study, we have used different models such as Artificial Neutral Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) and Cuckoo Optimization Algorithm (COA) for forecasting ... See full document

... swarm optimization [8,9], hybrid PSO and sequential quadratic programming (PSO-SQP) [10], evolutionary strategy optimization (ESO) [12], self organizing hierarchical PSO (SOHPSO) [14] and new PSO (NPSO) ... See full document

... the fuzzy set theory in [7] [19], the fuzzy optimization problem has been widely studied since ...the fuzzy linear programming problem in the method of [27], ...the fuzzy goal and the ... See full document

... Conventional optimization techniques are useful for specific optimization problems and leaned to find local optimum ...conventional optimization techniques for CNC turning process. The ... See full document

... all fuzzy numbers can be embedded into a Banach space isometrically and ...all fuzzy num- bers can be embedded into the Banach space C[0, 1] × C[0, ...of fuzzy optimization problem based on ... See full document

... A steam turbine has complex features in order to increases thermal efficiency [1, 11]. This complexity is also the reason why nonlinear analytical model has been developed to study transient dynamics of steam ... See full document

... neural system under consideration, all the parameters defining the ellipsoidal functions are stacked in a single vector ...The optimization algorithm is a variant of gradient descent in which each parameter ... See full document