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An adaptive fuzzy integral sliding mode
controller for mismatched time-varying linear systems is
presented in this paper. The proposed fuzzy integral sliding
mode controller is designed to have zero steady state
system error under step inputs
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A Comparison of Robustness:
Fuzzy Logic, PID, & Sliding Mode Control
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sliding mode control with fuzzy control
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Power system stability is enhanced through a novel stabilizer developed around an adaptive fuzzy sliding mode approach which applies the Nussbaum gain to a nonlinear model of a single-machine infinite-bus (SMIB) and multi-machine power system stabili
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In this paper, a method combining fuzzy logic and sliding mode controller is proposed for the robust control of power system Single-Machine Infinite-Bus (SMIB). The aim of this study is to overcome some shortcoming of conventional power system stabil
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Power systems stability is enhanced through a novel stabiliser developed around a fuzzy sliding mode approach. First, sliding mode control is applied to selected operating point based models of a power system separately then fuzzy logic is used to fo
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This study compares the power system stabilizer based on sliding mode control with the fuzzy power system stabilizer for Single Machine Infinite Bus System (SMIB). Using the sliding mode control, a range is obtained for the changes in system paramete
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This study compares the power system stabilizer based on sliding mode control with the fuzzy power system stabilizer for Single Machine Infinite Bus System (SMIB). Using the sliding mode control, a range is obtained for the changes in system paramete
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Matlab SMC Thanhtz - Fuzzy Sliding Mode Control of matlab simulation
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Robot Thanhtz - Fuzzy Sliding Mode Control of matlab simulation
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LMI Design Approach to Robust Fuzzy Sliding-mode Observer in Dynamical Uncertain systems
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Comparison between Fuzzy Logic and Sliding mode
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