neural network-based H/sup /spl infin// tracking control
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... 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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Neural network based maximum power point tracking control with quadratic boost converter for PMSG—wind energy conversion system
... The P&O algorithm is the simplest and classical form of sensorless MPPT control technique present in the literature. The flowchart of P&O control system is shown in Figure 3. The direction of ...
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Integral Backstepping Control for a PMLSM Using Adaptive RNNUO
... feedforward neural networks (FNNs) and recurrent neural networks (RNNs) according to the structures ...artificial neural networks where the connections are not feed-forward ones ...good ...
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Structure Adaptable Neural Network Based Nonlinear Tracking Control of Kinematically Redundant Robot Manipulator
... the neural arrangement would agenda and abundance the anonymous arresting and acknowledge with some adapted ...the neural arrangement can activate the action of arrangement acceptance of the admission ...
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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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Voltage tracking of a DC DC buck converter using neural network control
... The switched mode dc-dc converters are some of the simplest power electronic circuits which convert one level of electrical voltage into another level by switching action. These converters have received an increasing ...
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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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A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
... trajectory control of a robot manipulator, the model-based control design requires a correct dynamic model and precise parameters of the ...trajectory tracking errors, and even cause ...
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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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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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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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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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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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Research on Trajectory Tracking Control of Large Intelligent Mower Based on Neural Network
... trajectory tracking and behavior ...trajectory tracking and precision ...trajectory tracking and so on. The control signal is sent to the corresponding actuator, and the real-time status ...
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Robust H∞ Observer Based Tracking Control for the Photovoltaic Pumping System
... point tracking (MPPT) has been suffi- ciently exploited in the literature ...MPPT control (P & dO, Incremental) or not use the MPPT control ...a tracking system of the maximum power point ...
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Rotorcraft Trajectory Tracking by Supervised NLI Control
... It appears that the flight dynamics of the considered rotorcraft present a two level input affine structure which is made apparent when a new set of equivalent inputs is defined. This allows the development of a non ...
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On Network-based Control and Sensitivity Characterization of Mobile Robot in Intelligent Space
... In this chapter, we introduce a new concept of application called Intelligent Space or iSpace as it can provide intelligent services to human beings. A preliminary project, iSpace at NCSU, is used as a platform to study ...
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Co-simulation framework for on-chip LiDAR sensors in a cyber-physical system
... This paper introduces a co-simulation framework for modelling and simulating a virtual sensor network in a cyber-physical system for obstacle recognition in driving assistance. From the best of authors knowledge, ...
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Compliant force control for automated sub-sea inspection
... force control with low speed tracking, it is apparent that this does not prevent effective ...a control problem at higher tracking ...stable control at tracking speeds of over 25 ...
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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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