Search results for " Fuzzy Control"

showing 3 items of 13 documents

Approximation-based adaptive tracking control of stochastic nonlinear systems with a general form

2014

In this paper, an approximation-based adaptive tracking control scheme is proposed for a class of stochastic nonlinear systems with a more general structure. Fuzzy logical systems are used to approximate unknown nonlinearities in the controller design procedure and the backstepping technique is utilized to construct a state-feedback adaptive controller. The proposed controller can guarantee that all the signals in the closed-loop system are fourth-moment semi-globally uniformly ultimately bounded and the tracking error eventually converges to a small neighborhood around the origin. Simulation results are used to show the effectiveness of the proposed control scheme.

Scheme (programming language)business.industrystochastic nonlinear systemAdaptive fuzzy control; Backstepping; stochastic nonlinear system; Software; Artificial IntelligenceFuzzy logicAdaptive fuzzy controlTracking errorNonlinear systemSoftwareControl theoryBacksteppingArtificial IntelligenceBounded functionBacksteppingbusinesscomputerSoftwareMathematicscomputer.programming_language
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A design methodology for adaptive type-2 fuzzy controllers

2011

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciType-2 fuzzy controller adapative control
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Adaptive Type-2 Fuzzy Logic Control of Non-Linear Processes

2011

The main objective of this study is to provide a valid and effective approach for the design and development of an adaptive type-2 fuzzy controller (AT2FLC), based on the analysis of the nonlinear process dynamics and the use of an ANFIS technique for the optimization of the controller. The performance of the obtained AT2FLC, characterized by a few number of rules, is higher than the performance of a traditional type-2 fuzzy controller with a larger rule base. The proposed controller is particurarly suitable for the control of processes characterized by uncertainty and time varying parameters.

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimicilcsh:Computer engineering. Computer hardwareComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAdaptive controllcsh:TP155-156Non-linear processeslcsh:TK7885-7895Adaptive control; Type-2 fuzzy control;Non-linear processesType-2 fuzzy controllcsh:Chemical engineeringComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICS
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