neural network-based adaptive tracking controller
Neural-Network Estimation of the Variable Plant for Adaptive Sliding-Mode Controller
... trajectory tracking neural network controller based on the computed torque method [12] to [15], ...of neural network learning [14] if generalized learning is not ...
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An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances
... These neural-network approaches have mainly been based on Adaptive Critic Designs (ACDs) (Wang et ...two neural networks: an action network and a critic ...critic network ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... Since neural networks and fuzzy logic are universal approximators, the adaptive control schemes of nonlinear systems that incorporate the techniques of fuzzy logic [4, 7, 8, 10, 13, 16, 17] or neural ...
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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
... a controller for a basic model of such a ...introduced tracking controllers for driver-less ...cars based on their kinematic model [3] and then started designing tracking controllers using the ...
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A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
... trajectory tracking errors, and even cause instability of the ...and adaptive control systems for the robot in order to overcome the control system drawback caused by the model errors and uncertain ...
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Levenberg-Marquardt optimised neural networks for trajectory tracking of autonomous ground vehicles
... kinematic controller and a torque controller for the dynamic model of a non-holonomic mobile ...The adaptive controller for the dynamic model was designed using back-stepping ...torque ...
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PSO based neuro fuzzy sliding mode control for a robot manipulator
... SMC. Neural networks (NNs), Fuzzy logic and Neuro-fuzzy are combined with SMC and used in non-linear, time variant and uncertain ...logic controller (FLC) to improve the stability of system (Hang et ...
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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... trajectory tracking control. However, this controller is design based on the torque ...SMC based RBFN is used where the proposed controller shows satisfied performance in the case of ...
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... the adaptive PID controller can perform the tracking control task ...efficiently. Based on reinforcement learning ability it can adapt itself well and is also ...the controller to be ...
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Artificial Neural Network Based Induction Motor Speed Controller
... ' Adaptive Tracking Controller for Induction Motor Drives using Online Training of Neural Networks ' used the indirect model reference adaptive control system to model the neural ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... Advanced controller i.e., The Neural network based model predictive controller are designed to control the concentration of the Double Effect ...the Neural networks Model ...
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Artificial Neural Network Control of Permanent Magnet Synchronous Motor
... The speed controller gives out torque command instead of q- axis current reference for the current controller. For the torque ripple, off-line identification is used to generate a table of compensating ...
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Peformance Analysis of Mixture Approaches and Tracking Performance of Adaptive Filter using Adaptive Neural Network
... of adaptive filter and convergence rate of mixture ...running adaptive branches are considered as alternative hypothesis about data model as well as different diversity sources, which can be used to achieve ...
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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
... a network for a given target transmission rate to improve the network efficiency is a nondeterministic polynomial time hard prob- ...molecule based CRO (S-CRO), were pro- posed in (Xu et ...
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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... and adaptive PID controllers were developed ...Logic Controller (FLC) can be used for this kind of ...conventional controller, the main advantage of fuzzy logic is that no mathematical modeling is ...
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PERFORMANCE ANALYSIS OF WLAN UNDER VARIABLE NUMBER OF NODES USING THE ADJUSTABLE PARAMETERS IN EDCA
... reference adaptive controllers are ...reference adaptive controller framework by utilizing an online growing neural / fuzzy network structure in parallel with ...the controller ...
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Modeling of SVC Controller based on Adaptive PID Controller using Neural Networks
... BP network is a multilayered simple network which consists of three layers BP NN and they are an input layer, hidden layer and an output ...PID controller adaptively by the measurement of the above ...
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An adaptive neural network controller for chilled water temperature in HVAC systems
... an adaptive neural network controller to maintain the chilled water temperature in heating, ventilation and air conditioning(HVAC) ...a controller that can handle the nonlinearity of ...
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Integral Backstepping Control for a PMLSM Using Adaptive RNNUO
... is based on PMLSM, has many advantages over its indirect counterpart: such as no backlash and less friction, high speed and high precision in long distance location, simple mechanical construction, high thrust ...
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... communication network will lead to time delay and data packet ...account network-induced delays and/or packet dropouts, new challenges have appeared in modeling, analysis and design of ...
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