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adaptive fuzzy-based tracking control

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

... a fuzzy-sliding mode cont- roller by fuzzifiying the sliding surfaces in order to attenuate the chattering ...by fuzzy logic without the computation of the equivalent cont- rol ...equivalent control ...

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A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic

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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Adaptive Fuzzy FOPID Control Scheme for Path tracking of Mobile Robot

Adaptive Fuzzy FOPID Control Scheme for Path tracking of Mobile Robot

... new control method for path tracking of mobile robot based on using fuzzy logic and FOPID controller ...speed control and azimuth ...via fuzzy system. Each FOPID controller is ...

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A Control Strategy in Power Management for a Grid Connected PV-FC Hybrid System

A Control Strategy in Power Management for a Grid Connected PV-FC Hybrid System

... point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic ...the fuzzy logic controller. The maximum power point tracking control is ...

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Back-Stepping Fuzzy Adaptive Sliding Mode Trajectory Tracking Control for Wall-Climbing Robot

Back-Stepping Fuzzy Adaptive Sliding Mode Trajectory Tracking Control for Wall-Climbing Robot

... structure control is an important nonlinear control method with the advantages of being unaffected by parameter change and disturbances, quick to respond and without need for system on-line identification ...

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An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator

An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator

... equivalent control law based on fuzzy-logic approach has been ...equivalent adaptive fuzzy controller is proposed to design a robust control law for trajectory tracking of ...

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Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation

Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation

... to control nonlinear systems with external disturbances and parameter ...for control systems have been well accepted, and the major benefits of the SMC are the following: 1) its robustness against for a ...

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Trajectory tracking in aircraft landing operations management using the adaptive neural fuzzy inference system

Trajectory tracking in aircraft landing operations management using the adaptive neural fuzzy inference system

... specific fuzzy system structure. Wood and Schneider [7] used fuzzy expert system tools to control anti-submarine ...hierarchical fuzzy control design for a multi-variable helicopter ...

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Development of Sliding Mode Fuzzy Controller for Advanced Navigation System

Development of Sliding Mode Fuzzy Controller for Advanced Navigation System

... proposed based on a linearized and non linearized model of the navigation ...Mamdani-type fuzzy Sliding Mode Controller (FSMC) is proposed to decrease the chattering effects intelligently, which in turn ...

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Dynamic Approach of MPPT for PV device by using Adaptive Control and fuzzy controller

Dynamic Approach of MPPT for PV device by using Adaptive Control and fuzzy controller

... point tracking control is expected to obtain MPP without concern for both device and atmospheric ...An adaptive control technique is designed to construct the seeking algorithm operate to ...

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Design of Wind-solar Complementary Power System Based on Progressive Fuzzy Control

Design of Wind-solar Complementary Power System Based on Progressive Fuzzy Control

... passive control on frequency error of the wind- solar complementary power ...controller based on the adaptive theory, which consists of tracking differentiator, extended state observer, and ...

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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON 
LRIC AND LOAD GROWTH CONTROL

PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL

... a fuzzy adaptive PID controller is introduced to improve the control ...first based on the physical laws. Then, the fuzzy logic algorithm which can regulate PID parameters on-line is ...

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Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System

Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System

... paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of a Shell and Tube Heat Exchanger as interval type-2 fuzzy logic controller ...Two ...

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Using Fuzzy Logic Methods for Carbon Dioxide Control in Carbonated Beverages

Using Fuzzy Logic Methods for Carbon Dioxide Control in Carbonated Beverages

... any control system, we also need inputs and outputs in the fuzzy logic and neuro-fuzzy control ...systems. Fuzzy logic and neuro-fuzzy shall determine the carbon dioxide amount ...

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Induction motor controller using fuzzy logic

Induction motor controller using fuzzy logic

... closed-loop control problems, reducing in many cases, engineering time and ...the control capability. Fuzzy logic shoved very useful to solved nonlinear control ...robust control ...

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Approximation Based Adaptive Tracking Control of Uncertain Nonholonomic Mechanical Systems

Approximation Based Adaptive Tracking Control of Uncertain Nonholonomic Mechanical Systems

... trajectory tracking control problem of uncertain nonholonomic mechan- ical systems is ...new adaptive tracking control is proposed based on neural network ...optimal ...

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Research on Fuzzy Control Algorithm and Application in Two wheel Balance Vehicle

Research on Fuzzy Control Algorithm and Application in Two wheel Balance Vehicle

... PD fuzzy auto-tuning is to find the fuzzy relationship between PD parameters and E and ...the fuzzy control principle to meet the different requirements of different e and Ec control ...

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Controller Sliding mode & Conventional Controller for Boost Converter

Controller Sliding mode & Conventional Controller for Boost Converter

... So, control of Boost converter is more difficult than buck converter, where ouput voltage is less than input ...voltage. Control of boost converter is difficult as control input appears in voltage as ...

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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System

... type-2 fuzzy controller starts with type-1 fuzzy sets because it is not possible to apply the ANFIS directly to a type-2 fuzzy system (Mendel, ...type-1 fuzzy system obtained with ANFIS is ...

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THE IMPACT OF INFORMATION SYSTEM SUCCESS ON BUSINESS INTELLIGENCE SYSTEM 
EFFECTIVENESS

THE IMPACT OF INFORMATION SYSTEM SUCCESS ON BUSINESS INTELLIGENCE SYSTEM EFFECTIVENESS

... , adaptive backstepping was used to compensate the nonlinearities in the speed control for a PMSM, but it is worth notice that the regression matrix almost covers one full ...

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