adaptive robust fuzzy control
Robust Fuzzy Control for 2-DOF Manipulator System
... years, control engineers have become increasingly interested in the robot tracking ...indirect adaptive control and robust nonlinear ...developing control schemes to achieve the precise ...
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Observer-Based Robust Adaptive Fuzzy Control for Uncertain Underactuated Systems with Time Delay and Dead-Zone Input
... the control problem of underactuated systems has received a lot of ...fewer control actuators than degrees of freedom and can be found in many applications, such as boom cranes [1], axisymmetric spacecrafts ...
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A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic
... MPPT control methods into direct MPPT control and indirect MPPT ...MPPT control. Several articles on direct MPPT control method have been published ...with fuzzy logic [11], FLC ...
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Research of Multiple Sensors Adaptive Fault-Tolerant Control Based on T-S Fuzzy Model for EMB System
... designed adaptive robust fault-tolerant control dynamic decision model based on T-S fuzzy model which has good robustness for system parameter uncertainties and external interference, it also ...
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Robust Adaptive Control for a Class of Systems with Deadzone Nonlinearity
... inverse adaptive deadzone compensator was thoroughly investigated in [2] and [3] which was shown to improve per- ...a fuzzy logic type inverse deadzone compensator, meanwhile, a neural network inverse ...
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Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems
... input control signal and the large amplitude of this switching (switching ...input control signal, dynamic sliding mode control (DSMC) is ...a fuzzy system is employed to identify the unknown ...
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Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems
... A Fuzzy based mathematical model of a controller was described and designed with incorporation of Fuzzy Logic Controller (FLC) ...was robust for a wide range of operation and improved the system ...
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Neural fuzzy Inference Based Robust Adaptive Beamforming
... Abstract— A sensor array captures spatially propagating signals arriving from a certain direction and processes them to obtain useful information. To this end, it is proposed to linearly combine the signals from all the ...
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Enhancement of Power Stabilization System using Artificial Intelligence and its Techniques
... Sugeno fuzzy logic was used for on-line, off-nominal operating ...A robust adaptive fuzzy controller proposed by to design a ...PSS. Fuzzy logic was used to implement system with both ...
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Smart Algorithms to Control a Variable Speed Wind Turbine
... a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the ...
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Adaptive neuro-fuzzy control of an induction motor
... According to zero-order Sugeno method and all the variable membership function, a neuro-fuzzy controller have 72 rules, where these rules used to give appropriate output. The output of the ANFIS are crisp value ...
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Robust Design Guidelines for Model Reference Adaptive Control
... a robust design process is introduced for a scalar MRAC algorithm, which can ensure a robust control system within a large frequency ...of control design guidelines for the scalar MRAC system ...
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Fuzzy modelling and robust control with applications to robotic manipulators
... In the following chapters of this thesis, several new and improved robust variable structure control schemes of nonlinear systems will be proposed by combining conventional methods and r[r] ...
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Robust control via adaptive, learning, and switching controllers
... optimal control of nonlinear systems in the presence of disturbances and/or unmod elled ...optimal control of nonlinear systems; that of applying feedback control based on plant linearization and ...
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Modelling and Fuzzy Logic Control of the Pitch of a Wind Turbine
... [4]. Han, Bing, Lawu Zhou, Fan Yang, and Zeng Xiang. "Individual Pitch Controller Based on Fuzzy Logic Control for Wind Turbine Load Mitigation." IET Renewable Power Generation 10.5 (2016): 687-93. ...
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Robust intelligent active force control of nonholonomic wheeled mobile robot
... In this study, perfect modelling was assumed for the measurements while an intelligent method was applied for the estimation of IN. It has been ascertained that the estimation of IN is a definite requisite to the AFC ...
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Sliding Mode Observer based Actuator Fault Reconstruction for a Continuous Reactor
... In some systems like CSTR reactors and other complex systems, some sensors cannot be placed in desirable location. There is not any reason for that, expect fault detection and isolation. Fault in sensors or actuators can ...
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A New Sum-of-Squares Design Framework for Robust Control of Polynomial Fuzzy Systems With Uncertainties
... for robust control of polynomial fuzzy systems with ...of robust stabilization conditions are derived in terms of ...SOS robust stabilization conditions that guarantee the global and ...
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Robust Resource Management Control for CO2 Emission and Reduction of Greenhouse Effect: Stochastic Game Approach
... the control of this system ...to control and manage the economic and ecological re- ...cient control design for nonlinear systems with paramet- ric fluctuation stochastic uncertainties, this dynamic ...
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Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive
... speed control law defined previously will guarantee the existence of the switching surface s(t) and when the error function e(t) reaches the sliding surface, the system dynamics will be governed by equation which ...
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