neural network adaptive sliding mode control
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... There are many types of dc servo motors used in the industries in which rotor inertia is can be very small, and in this result, motors with very high torque – to – inertia ratios are commercially available. Servo systems ...
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Adaptive Backstepping Terminal Sliding Mode Control Method Based on Recurrent Neural Networks for Autonomous Underwater Vehicle
... a neural network direct adaptive control method, and this method is applied to the control of AUV with bounded external disturbances and bounded neural network approxima- ...
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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... robust adaptive trajectory tracking SMC based on RBFNN proposed to control of two links Cleaning and Detecting Robot Manipulators which can cater for mass variation, external disturbance and modelling ...
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Sliding Mode Control with RBF Neural Network for Two Link Robot Manipulator
... Sliding mode control deals with the problem of model uncertainties as these uncertainties can have strong adverse effects on nonlinear control ...is adaptive control and another ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... an adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...The neural controller using ...
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Performance Analysis of Fuzzy based MRAC and Sliding Mode Controls of Vector Controlled Induction Motor Drive
... oriented control technique has been widely used in industry for high-performance induction machine (IM) drive, where the knowledge of synchronous angular velocity is often necessary in the phase transformation for ...
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Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems
... improved control algorithm is to eliminate the steady state error, and the algorithm can also improve the control accuracy and sta- tionary ...experiments[5]. Sliding mode varia- ble structure ...
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Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network
... structure control (VSC) [1] ...feedback control law which switches the system in a predefined subspace ...An adaptive control ap- proach has been proposed for the control of time delay ...
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An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems
... tracking control systems is limited by variation of parameters and ...The control methodologies that can be used are ranging from classical adaptive control and robust control to the ...
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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
... the control system of an autonomous vehicle, and tried to present a controller for a basic model of such a ...predictive control method has been discussed in ...of sliding mode and feedback ...
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Online Full Text
... of neural network are very powerful, it can approximate the nonlinear systems with arbitrary accuracy, and it also has a strong ...the neural network, most of the researches get the result ...
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Smart Algorithms to Control a Variable Speed Wind Turbine
... 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 ...
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Neural-Network Estimation of the Variable Plant for Adaptive Sliding-Mode Controller
... the neural network control based on an estimation of kinematics and dynamics of geared robot ...adapt neural network controller based on the computed torque method also to high ...
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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 ...fuzzy sliding mode control based on neural network is ...classical sliding ...
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... addresses control design in networked control system by considering stochastic packet dropouts in the forward path of the control ...A sliding mode controller is utilized to overcome ...
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Investigation of Chaos Behavior in a New Two-Scroll Chaotic System with Four Unstable Equilibrium Points, its Synchronization via Four Control Methods and Circuit Simulation
... and control of new chaotic systems are two important topics in chaos theory ...[12], neural networks [13], jerk systems ([14]- [15]), chemical systems [16], biology [17], oscillators ([19]- [20]), weather ...
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Dynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
... dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is ...input control signal of the ...to control of such a system, we must know and identify the new ...
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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 ...robust adaptive law is developed to ...
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A decoupling approach to integrated fault-tolerant control for linear systems with unmatched non-differentiable faults
... • A decoupling FE/FTC approach is developed to offer more design freedom. By using the descriptor approach in Lan & Patton (2015), the perturbation considered is augmented as a system state and estimated. Therefore, ...
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Development of Sliding Mode Fuzzy Controller for Advanced Navigation System
... velocities, control gains(ki),control inputs and other ...fuzzy sliding mode controller for adjusting the sliding surface ...the sliding surface gain is adjusted by “gradient ...
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