[PDF] Top 20 Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot
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Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot
... of car accidents ...and car technology, autonomous vehicles are expected to take the pressure and stress of driving off the drivers and thus improve their workload and ...the control system of an ... See full document
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ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL
... model-based control approaches are hard to be implemented in the multivariable robotic ...model-free fuzzy sliding mode control based on neural network is ...classical ... See full document
6
Sliding Mode Control with RBF Neural Network for Two Link Robot Manipulator
... Sliding mode control has been the vast topic for research in the field of control ...on sliding mode control of the system as well as the integration of compensation ... See full document
6
Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... the trajectory tracking control. However, this controller is design based on the torque ...proposed controller shows satisfied performance in the case of 2-DOF robot ... See full document
7
Adaptive Backstepping Terminal Sliding Mode Control Method Based on Recurrent Neural Networks for Autonomous Underwater Vehicle
... of fuzzy rules depends on the knowledge of the ...a neural network direct adaptive control method, and this method is applied to the control of AUV with bounded external ... See full document
16
Stable Adaptive Neural Control of a Robot Arm
... stable indirect adaptive control with recurrent neural networks (RNN) is presented for square multivari- able non-linear plants with unknown ...The control scheme is made of an ... See full document
6
Design of radial basis function neural network controller for BLDC motor control system
... satisfied control characteristics by using normal conventional PID ...on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according ... See full document
8
An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... Online adaptive neural network (NN) control a capacitor ES device for a multi-generator power system with mixed AC and doubly fed induction generator (DFIG) has been investigated in this ...NN ... See full document
12
Smart Algorithms to Control a Variable Speed Wind Turbine
... efficient control strategy [3]. Several studies have been devoted to the control of the aeroturbine mechanical as well as the electrical ...a controller in order to maximize the energy captured from ... See full document
8
Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive
... the fuzzy based MRAC and sliding mode controls for Indirect vector controlled induction motor ...– Fuzzy logic is applied in this paper for the speed control of induction motor ... See full document
11
Adaptive Self‐Tuning Fuzzy Controller for a Soft Rehabilitation Machine Actuated by Pneumatic Artificial Muscles
... The single joint rehabilitation machine actuated by PAMs is shown in Figure 5 which is used to simulate the arm’s motion. The experimental layout is shown in Figure 6 and the specifications are listed in Table 1. The ... See full document
13
Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... a fuzzy wavelet neural network (FWNN) is proposed ...real-time adaptive control system ...closed-loop control system, a switching compensator is designed to dispel the ... See full document
5
Mechanical and Control Design of an Industrial Exoskeleton for Advanced Human Empowering in Heavy Parts Manipulation Tasks
... and control design solutions are intensively investigated to achieve a high performance human-robot collaboration ...model-based controller is then proposed (including the modeling of the compliant ... See full document
17
Nonlinear Control for Positive Output Super Lift Luo Converter in Stand Alone Photovoltaic System
... the control of a stand-alone PV system consisting of a POSLL converter is ...(PI) controller, sign function sliding mode controller (SFSMC) and conventional sliding ... See full document
11
Maximum energy capture of variable speed variable pitch wind turbine by using RBF neural network and fuzzy logic control
... pitch control of variable speed variable pitch angle wind turbine gave the following results by using radial basis function neural networks and fuzzy logic controller they ... See full document
8
Robust Chattering Free Backstepping Sliding Mode Control Strategy for Autonomous Quadrotor Helicopter
... the sliding manifold is introduced in the final step of backstepping ...sign function of sliding manifold will excite undesired phenomena called chatter in the control ...the control ... See full document
9
An adaptive modified fuzzy-sliding mode longitudinal control design and simulation for vehicles equipped with ABS system
... obtain sliding mode signal for brake actuators considering the inputs (longitudinal speed of wheels and sprung mass) and the outputs (slip ...transfer function plants are identified, designing a two ... See full document
13
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 ... See full document
9
Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation
... of fuzzy logic systems (FLSs) are given. In Section III, adaptive fuzzy sliding mode controller and observer are designed for a class of switched uncertain nonlinear systems with ... See full document
10
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... LINEAR NEURAL NETWORK Adaptive linear networks are very simple artificial neural network that contains just one neuron with a few inputs and additional unit ...Linear function is ... See full document
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