neural network-based tracking control
Control tracking model of the graduate quality based on neural network theory
... quality control system, the third party evaluation to complete the teaching quality from the principal, process and result on careful analysis of data, and find the reasons to consider feedback, from the method of ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... Model-based control strategies, NNMPC and INNC, have been proposed and applied with the optimization based on NN-based hybrid model to control the temperatures in the purified ...
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Structure Adaptable Neural Network Based Nonlinear Tracking Control of Kinematically Redundant Robot Manipulator
... accepted neural arrangement responses for accepted ...bogus neural arrangement care to represent the abiding states of the arrangement during accustomed ...
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Neural network based maximum power point tracking control with quadratic boost converter for PMSG—wind energy conversion system
... (HCS) control algorithms are used where the optimum relation of the system is defined ...captured. Based on the obtained power variations with the perturb operation, the next perturbation size and direction ...
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Speed tracking of indirect field oriented control induction motor using neural network
... speed control with an IFOC of a Doubly Fed IM (DFIM), being fed by two pulse width modulation (PWM) inverters with a separate DC bus link is presented by Chikouche, ...2013. Based on state space input- ...
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Online Full Text
... of neural network-based model predictive control (NNMPC) for handling predefined optimal policy tracking determined by dynamic optimization strategy of a batch reactive distillation ...
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Voltage tracking of a DC DC CUK converter using neural network control
... artificial neural network (ANN), usually called neural network (NN), is a type of artificial intelligence technique that mimics the behavior of human ...A neural network consists ...
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Intelligent Control Algorithm for Maximum Power Point Tracking of PV Arrays
... point tracking therefore plays an important role in optimizing solar energy ...intelligent control technique – Fuzzy logic and Artificial Neural Network are use for MPPT of PV ...reasoning ...
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A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
... trajectory tracking control of an industrial robot, dynamic model based control system methods, such as the computed torque control method under the dynamic model given by (1), can be ...
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Voltage tracking of a DC DC buck converter using neural network control
... to control switching power supplies is Pulse-width Modulation (PWM) ...modeled based on averaging technique and the system being controlled operates optimally only for a specific condition ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... to control the non linear dynamics of surge tank via neural ...dynamic neural models in predictive control for a benchmark nonlinear process, surge tank is ...A Neural network ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control ...the network using the Levenberg-Marquardt ...predictive ...
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Speed tracking of indirect field oriented control induction motor using neural network
... This control is based on projections which transform three phase time and speed dependent system into two co-ordinate time invariant ...IM control scheme similar to a DC motor control ...The ...
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On hybrid intelligence-based control approach with its application to flexible robot system
... path tracking have been implemented [14]. A neural-fuzzy-based structure is proposed to control the target position of a flexible connection controlling the robot ...fuzzy-based ...
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Research on Trajectory Tracking Control of Large Intelligent Mower Based on Neural Network
... robot based on four wheeled mobile robot structure is proposed in the ...Trajectory tracking control is a key factor for high efficiency of mowing ...trajectory tracking problem. Subsequently, ...
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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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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... of neural network model-based controllers: the neural network direct inverse model control (NNDIC) and neural network based model predictive control ...
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Compliant force control for automated sub-sea inspection
... 2) If the force/torque transducer is upstream of the compliant device (figure 7.5.b) then it is likely to be outside of the normals to the footprint of the ACFM probe as illustrated in figure 7.6. The probe in this ...
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ECC BASED MALICIOUS NODE DETECTION SYSTEM FOR MOBILE ADHOC NETWORK
... The values a and b are based on the range values of the numerical variable. Where the inputs are e(K) and Ce(K), as defined in (16) and (17), and the output is a change in the DC-link voltage, Ce(K). For example, ...
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Adaptive Neural Prescribed Performance DSC for Non Affine SISO Nonlinear Systems with External Disturbances
... adaptive control of nonlinear systems with matched and mismatched uncertainties has attracted many attentions (Marino and Tomei, ...virtual control differentiations, specifically in the large order ...
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