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The sliding surface is divided into two main categories, linear and nonlinear. The nonlinear sliding surface algorithm is used to improve the performance of the sliding mode controller. ... Control of an Uncertain Robot Manipulator Using an Observation-based Modified Fuzzy Sliding Mode Controller ... The model referencing an adaptive sliding mode controller for an uncertain system dynamic fault tolerant was given by Xiao et al.  . ...doi:10.5815/ijisa.2018.03.05 fatcat:hobymohoyzayhbbb5tfctdvca4
Jayanth Karthik and Chandrasekaran  solved fully fuzzy linear systems with trapezoidal fuzzy number matrices by partitioning the block matrices. ... Swarup  proposed a simplex algorithm to solve linear fractional programming problem. Tantawy  presented an iterative method based on the conjugate gradient ... projection method for solving LFPP. LU Decomposition is just a compact and relatively numerically stable method to solve a system of linear equations. ...doi:10.22457/apam.v13n1a9 fatcat:buheos5ljjb6jg6zjpgnxrlv44
In this paper a numerical algorithm for solving a fuzzy linear system of equations (FLS) is considered. ... This system would be changed into an optimazition problem which is based on Particle Swarm obtimization (PSO) algorithm. The efficiency of algorithm is illustrated by some numerical examples. ... PSO algorithm for solving fuzzy linear systems In this section we used PSO algorithms for solving a fuzzy linear system by crisp coefficients. ...doi:10.5899/2016/jfsva-00272 fatcat:uflzni62yndu3kadv63iuxpnki
In this paper, adaptive fuzzy inverse dynamic system estimation is used to improve robust modeling, especially for a serial links robot manipulator. ... Convergence speed for system identification and estimation is a popular topic for determining the kinematics and dynamic identification/estimation of the parameters of robot manipulators. ... Intelligent Systems and Applications, Block diagram of the adaptive fuzzy ARX- Fig. 4 . 4 Linear system estimation for the robot manipulatorThe rate of error for linear system estimation is illustrated ...doi:10.5815/ijisa.2019.05.04 fatcat:nlwzcsseqbholna5os3d7nhrwy
Together with the filter method, an improved filter algorithm with decomposition strategy is proposed for solving nonlinear complementarity problem. ... The fuzzy approximate solution of the fuzzy linear differential equation is then obtained by solving the crisp linear equations. Some numerical examples are given to illustrate the proposed method. ... Acknowledgments We wish to express our sincere appreciation to the authors for their excellent contributions. The hard work of all reviewers is greatly acknowledged. ...doi:10.1155/2014/904014 fatcat:gs4ugjintbf5xopjwjq34tx5sq
Such systems are divided into two parts: singular consistent LR fuzzy linear systems and singular inconsistent LR fuzzy linear systems. ... In this paper, the singular LR fuzzy linear system is introduced. ... Singular LR Fuzzy Linear Systems In this section, singular LR fuzzy linear systems are introduced and the existing methods for solving LR fuzzy linear systems are investigated. ...doi:10.1155/2014/517218 pmid:24737977 pmcid:PMC3967711 fatcat:5fqs6abgp5cz3nh2t4otizg77i
Systems Sci. 20 (1989), no. 8, 1577. The paper presents a resolution method for a fuzzy linear pro- gramming problem with fuzzy numbers in the right-hand side of the constraints. ... This paper presents an algorithm for solving surrogate duals in zero-one linear programming. The proofs of the algorithm are also given. ...
Finally, the method proposed in this paper is an alternative method for solving fuzzy number linear programming problems. ... Recently, various methods have been developed for solving linear programming problems with fuzzy number, such as simplex method and dual simplex method. ... Acknowledgments The authors thank the anonymous referees for their suggestions and comments to improve an earlier version of this paper. ...doi:10.1155/2013/795098 fatcat:7ekr2sqiuzak5isvnlkg4mvfi4
The Journal of the Operational Research Society
Fuzzy Multi Objective Decision Making: Methods and Applications. Spinger-Verlag: Berlin. Guu SM and Wu YK (1999). Two phase approach for solving the fuzzy linear programming problems. ... Solving multiobjective linear programming problems—a generic approach. Fuzzy Sets and Systems 82: 35-38. Wang HF and Wang ML (1997). A fuzzy multi objective linear programming. ...
An augmented Lagrangean algorithm is then applied to solve the resulting problem. Some computational results are included. ... This paper deals with systems of fuzzy inequalities. ... ACKNOWLEDGMENT The authors would like to thank the referees for their very constructive comments in revising this paper. ...doi:10.1109/91.755403 fatcat:uz7kvwr2dnerbmp5ducfmp4oqq
Process control is an important application of any industry for controlling the complex system parameters, which can greatly benefit from such advancements. ... Conventional control theory is based on mathematical models that describe the dynamic behaviour of process control systems. ... Fuzzy logic helps an engineer for solving non-linear control problems in process control applications. ...doi:10.5121/ijsc.2011.2303 fatcat:7bofesi5mvgdbmfuihic66msmi
The paper discusses fuzzy real and complex linear equations and system of linear equations with coefficients as crisp and the right-hand side as generalized trapezoidal fuzzy number where fuzzy numbers ... We have solved each case by using the concept of Strong and Weak solution with numerical examples. ... A general model for solving a Fuzzy linear system whose coefficient matrix is crisp and the right-hand side column is an arbitrary fuzzy number was first proposed by Friedman et al.  . ...doi:10.22436/jmcs.015.01.02 fatcat:2cbnbzwju5eltgfk4fzq2zddna
To solve this problem and to improve control precision, B. ... Then, they, respectively, use two partition methods to divide the input universes and utilize fuzzy marginal linearization method to obtain the corresponding fuzzy system. ... We are also very grateful to the reviewers for their efforts in reviewing the papers on time. Hamid Reza Karimi Mohammed Chadli Peng Shi ...doi:10.1155/2013/126878 fatcat:jqd2cnhbrvexnb3uceubjego54
Then a new approach is proposed for solving this FFLP problem. An example is also presented to demonstrate the new method. Chronicle: ... Linear programming technique may be used for solving broad range of problems arising in business, government, industry, hospitals, libraries, etc. ... Acknowledgment The authors would like to appreciate from the anonymous referees who offered their valuable comments to improve the earlier version of this study. ...doi:10.1016/0165-0114(84)90096-4 fatcat:ruabgkj3prch3a7n7bgfygimvu
In this paper optimal control problem of fuzzy linear time invariant systems is considered. ... The quality of obtaining system optimal input by solving the FPDEs system has been studied based on new definition of fuzzy functions differentiability. ... Wan developed an optimal fuzzy controller to stabilize a Linear Time Invariant [LTI] system via Pontryagin Minimum Principle  , in  application of optimal fuzzy control will reduce the energy ...doi:10.1109/tfuzz.2017.2659731 fatcat:3y3xjorrzngmjndz5akrytzxqe
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