adaptive neural network control scheme
An Adaptive Neural Network Control Scheme for Stabilizing Chaos to the Stable Fixed Point
... existing control methods, the eigenvalues of the Jacobian matrix of the chaotic system have been eval- uated for different values of the chaoticity parameter, which leads to chaotic ...an adaptive ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... years, control for uncertain nonlinear systems has aroused widespread interests about it ...Since neural networks and fuzzy logic are universal approximators, the adaptive control schemes of ...
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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and ALNN, The simulation results proved that ...
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Variable neural networks for adaptive control of nonlinear systems
... the adaptive control of continuous-time nonlinear dynamical systems using neural ...novel neural network architecture, referred to as a variable neural network, is ...
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Integral Backstepping Control for a PMLSM Using Adaptive RNNUO
... the control performance, thus, an integral backstepping control system using adaptive recurrent neural network uncertainty observer (RNNUO) is proposed to increase the robustness of the ...
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Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems
... DSS control problem using an adaptive NN ...ulation control framework with measured disturbance rejection and feedforward compensation and 2) incorporating an NN feedforward compensation strategy ...
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Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent
... proposed scheme of the on-line self-tuning control algorithm is based on neural network and PSO algorithm to make both controllers are an on-line adaptive PID controllers by calculating ...
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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 ...MRAC scheme, the ...
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Control objective : In this paper, an adaptive decoupled
... on-line adaptive decoupled control scheme by using PID neural network for a class of nonlinear ...with adaptive optimal learning rate are proposed based on the Lyapunov stability ...
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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 ...A neural network based sliding mode adaptive control ...
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A Novel Concise Adaptive Neural Control for a Class of Nonlinear MIMO Systems with Unknown Time Delays
... of adaptive neural control algorithms for uncertain nonlinear systems has been a focus of engineering interest as well as theoretical ...closed-loop adaptive control system can be ...
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Stable Adaptive Neural Control of a Robot Arm
... proposed control scheme is an Indirect Neural net- work Controller (IDNC) composed of two separate fully connected recurrent neural networks: the Neural Con- troller (NC) and the ...
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Adaptive neural network cascade control system with entropy-based design
... completely different mean values. This suggests that simply minimising entropy-based measures can be misleading in output tracking control. In order to drive the tracking error towards zero, improved minimum error ...
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A Combined System for Off-Line Optimization and Adaptive Adjustment of the Cutting Parameters During a Ball-End Milling Process
... using adaptive control, the average MRR achieved is much closer to the maximum ...the neural control milling system is maintained at about 650N, and the feedrate of the adaptive milling ...
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DC Shunt Motor Control using Wavelet Network
... feedback control system is implemented using wavelet neural network, buck DC\DC converter and DC shunt motor model, the parameters of wavelet neural network is optimized using ...
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Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems
... neuroadaptive control framework for adaptive set-point regulation of discrete-time nonlinear uncertain nonnegative and compartmental ...the neural network weighting ...
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Value-Gradient Learning
... a neural network was used to implement ¯ f (~ x, ~ u ), then assuming the function is smooth enough to be differentiated (which is a necessary condition to be using DHP anyway), it should still be possible ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... The article through the analysis of time domain and frequency domain to the radar non-contact life- parameter signals and gain its characteristics of extremely low frequency, low SNR, and the easy submerged in strong ...
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Application Of Lvq Neural Network In Real-Time Adaptive Traffic Signal Control
... Traffic sensors are very important instrument used in traffic control. These sensors usually include magnetic or inductive loops to evaluate traffic parameters. The most significant disadvantage of these sensors ...
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A Direct Adaptive MNN Control Method for Stage Having Paired Reluctance Linear Actuator with Hysteresis
... the neural network provides a good solution for solving nonlinear ...multi-layer neural network (MNN) is effectively used in nonlinear discrete-time sys- tem identification and control ...
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