adaptive fuzzy control algorithm
An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator
... an adaptive fuzzy control algorithm is proposed for trajectory tracking of an n-DOF robot ma- nipulator subjected to parametric uncertainty and it is advantageous compared to the conventional ...
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Research on Fuzzy Control Algorithm and Application in Two wheel Balance Vehicle
... the fuzzy control algorithm of the electromagnetic two-wheel balance car when driving on the ...the algorithm and the simulation model of the motor parameters used in MATLAB, the simulation ...
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Fuzzy Adaptive PI Controller for Direct Torque Control Algorithm Based Permanent Magnet Synchronous Motor
... torque control preserve transient and steady state merits, furthermore, it produce good quality steady state operating performance in a wide range, SVM technique is used to achieve the voltage space vector ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... learning algorithm can be applied to obtain values of ...learning algorithm is combination of linear and nonlinear parameters learning ...called adaptive by Jang and it is functionally equivalent to ...
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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) ...notions. Adaptive tracking control architecture for a class of ...
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Improvement of Frequency Fluctuations in Microgrids Using an Optimized Fuzzy P-PID Controller by Modified Multi Objective Gravitational Search Algorithm
... and adaptive fuzzy P-PID controller for a microgrid system with different types of uncertainties (to convert this model to a practical microgrid) and power units (PV, wind, diesel and etc) in order to ...
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optimized controller design for cardiac pacemakers
... the fuzzy method is well suited for the application One more control algorithm designed using fuzzy logic controller for rate-adaptive heart pacemaker et ...of fuzzy logic ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... an adaptive CPSO technique is utilized to train a RBFNN to act as a controller for nonlinear dynamical ...The adaptive CPSO is employed to optimize all the modifiable parameters of the RBFNN, namely the ...
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Design of Wind-solar Complementary Power System Based on Progressive Fuzzy Control
... new fuzzy control approach to hybrid power generation in wind and solar co-generation system is developed in this ...nonlinear control theory, according to the external excitation caused by the ...
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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems
... Considering the random delay and packet loss prob- lem caused by network bandwidth constraint, the clas- sical Smith predictor has strong advantages in compensating delay and has been successfully applied in SISO NCS ...
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Research on Controlling Dewatering Ratio Based on Fuzzy PID in Sludge Process
... dewatering control , the common PID control is often used by constructing a feedback with the dewatering ratio of sludge to control the speed of the dewatering motor by frequency ...the ...
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Burst Loss Reduction Using Fuzzy-Based Adaptive Burst Length Assembly Technique for Optical Burst Switched Networks
... DTP algorithm is that it executes after every burst is assembled, hence there is an overhead on the continuous execution of the algorithm for every burst that is ...are adaptive by design and they ...
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Modelling and compliance control of a linkage chewing robot and its application in food evaluation : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand
... A control algorithm to achieve the compliant chewing for the robot is formulated in terms of adaptive fuzzy logic control, and is able to achieve fast coordination of chewing velocity ...
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Online Full Text
... enhancement algorithm are used. Then, a two-means algorithm which is the well-known k-mean algorithm when k=2 is used to cluster the pixels of each image into two major clusters, the protozoan ...
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Modelling and Fuzzy Logic Control of the Pitch of a Wind Turbine
... to control the pitch of the blades in a process called Individual Pitch ...angle control strategy based on the fuzzy logic control is proposed to cope with the nonlinear characteristics of ...
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Novel adaptive transmission protocol for mobile sensors that improves energy efficiency and removes the limitation of state based adaptive power control protocol (SAPC)
... new adaptive transmission power control protocol in place, which can be implemented in mobile wireless sensor ...the adaptive transmission domain, as this approach is unique and tested in a variable ...
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Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next generation wireless sensor networks
... The simulation for the multi-hop scenario was based on different number of nodes and neighbour nodes, and by adding new nodes. Runtime requires establishing a scheduling process in a network. Wireless is a shared and ...
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Fuzzy Logic Recursive Gaussian Denoising of Color Video Sequences via Shot Change Detection
... The first algorithm which is an extension of fuzzy directional impulsive noise removal filter is Fuzzy Directional Adaptive Recursive Temporal Filter for Gaussian denoising of color vide[r] ...
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Research on DC Charger Control Based on Expert Fuzzy PID
... the control command to complete the interface switch by interacting with the main control module; Obtain user information and real-time data information and display ...
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ADAPTIVE FUZZY CONTROL OF PRESSURE AND LEVEL
... complex control algorithms can now be applied to today’s highly nonlinear, sometimes even not well explored systems that are affected by unexpected internal or external disturbances, to systems whose dynamics is ...
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