adaptive neural-control scheme
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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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 the ...
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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 controller is ...
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Dynamic modeling and control of a 4 DOF robotic finger using adaptive-robust and adaptive-neural controllers
... PD control scheme is applied to the multi-link system, the resulting movements would be of different characteristics from those of actual human movements, ...
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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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An Adaptive Neural Network Control Scheme for Stabilizing Chaos to the Stable Fixed Point
... A neural network control scheme with a novel adaptive learning rate is proposed to stabilize the chaotic tra- jectory of the chaotic system to a stable fixed ...the neural network, ...
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A Combined System for Off-Line Optimization and Adaptive Adjustment of the Cutting Parameters During a Ball-End Milling Process
... of neural networks, fuzzy logic and PSO evolutionary strategy in modelling and adaptively controlling the process of ball-end ...forward neural control scheme (UNKS) the combined system for ...
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Stable Adaptive Neural Control of a Robot Arm
... the control pro- blem is more complex and few results are available in the ...stable adaptive control scheme for a multivariable nonlinear systems with a triangular structure using multilayer ...
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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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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 proposed and shown to ...
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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 PMLSM ...
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An intelligent and modular adaptive control scheme for automating the milling process
... The transfer function around each equilibrium point can be defined by an -value in equation 8. The trajectory of the system passes through the different operational points when the system changes from one to other ...
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An Adaptive estimation scheme for reducing communications in a distributed control implementation
... tion lation system states a mechanism distributed adaptive controller was the to track those the required In addition, a simulation amount of communication These results these to achieve[r] ...
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Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... in an attempt to demonstrate the performance of the SDRNN architecture and compare it to the DRNN archi- tecture in nonlinear system identification and in adaptive control of nonlinear dynamical systems. As ...
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Homeostatic inspired controller algorithm for a hybrid driven autonomous underwater glider
... artificial neural network (ANN), an artificial endocrine system (AES), and an artificial immune system ...to control the glider's overall ...predictive control (MPC), neural network (NN) ...
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A fast adaptive neural network system for intelligent control
... One solution is to model the system with two neural networks in parallel whereby one network is trained a priori with a wide range of historical dynamics while the [r] ...
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Indirect Neural Adaptive Control for Wheeled Mobile Robot
... and control wheeled ...designed control are that the deduction of the adaptive law of gain is based on the Lyapunov stability theory taking into consideration the global tracking error, the ...
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Designing a Robust Control Scheme for Robotic Systems with an Adaptive Observer
... Robust control of nonlinear systems has been the focus of many researchers to confront the uncertainties including parametric uncertainty, unmodeled dynamics and external disturbances [7, ...an adaptive law ...
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ADAPTIVE CONTROL FOR TWO COLLABORATIVE ROBOTS HANDLING AN OBJECT WITHOUT VELOCITY FEEDBACK
... an adaptive control scheme without velocity measurement for the case of two manipulators collaboratively handling a rigid object is ...presented control method avoids the need for velocity ...
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Evaluation of a Neural-Network-Based Adaptive Beamforming Scheme with Magnitude-Only Constraints
... an adaptive beamforming scheme based on magnitude-only constraints and implementable via ...proposed scheme appears as an attractive alternative to the standard one, especially in the presence of a ...
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