neural network-based control design
Neural network control design for an unmanned aerial vehicle with a suspended payload
... position control challenges for a drone with a package connected by a wire is ...robust neural network-based backstepping sliding mode control method is designed, which is capable of ...
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Modelling and control of fouling in submerged membrane bioreactor using neural network internal model control
... bioreactor control system ...artificial neural network (ANN). The feedforward neural network (FFNN), radial basis function neural network (RBFNN) and nonlinear ...
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Design of Neural Network Based Sensorless Induction Motor Speed Control Drive
... the network is able to give proper data for the test results ...the network before testing. Once training and testing is done the network is considered to be ready for application ...tested ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... problem, neural networks studied and provided successfully to capture the dynamics of nonlinear and complex systems have been proposed and formulated ...[8-13]. Neural networks have several advantages of ...
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Neural network controller design for position control system improvement
... position control with a DC motor as an actuator using neural network ...controller. Neural network controller develop is proposed to overcome the problem of conventional controller ...
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Design of Order Demand Forecasting System Based on Neural Network
... materials control are powerful means to improve market ...Gray neural network can eliminate the uncertainty and be used in more advanced applications, involving traffic, research and ...
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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 ...mode control design, an improved genetic ...
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RBF Neural Network Based Sliding Mode Control of a Lower Limb Exoskeleton Suit
... 1. Control of the hydraulic servo leg is necessary to provide a high-level human- machine interaction ...Force control of uncertain hydraulic servo systems has been documented for several years since it has ...
10
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 ...
14
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 ...
6
Dynamic Neural Network Based Nonlinear Control of a Distillation Column
... mapping, neural network has been actively used in nonlinear system identification and control ...feed-forward neural network (MFNN) is one of the most widely used neural networks ...
5
Adaptive neural network cascade control system with entropy-based design
... cascade control methods have been developed based on explicit mathematical ...model-based control strategies, model-free control or data-driven control approaches have been ...
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Design of radial basis function neural network controller for BLDC motor control system
... RBF neural network are phase current and speed, output signal is duty cycle D, the input and output are applied in BLDC motor control system, it can change control parameters on-line and ...
8
Design and implementation of wireless sensor network nodes based on BP neural network
... BP network is simple, so it has been widely applied in ...the control system, BP network as a neuron control parts, can be used for device control system or information flow ...
5
Design, Analysis and Realtime Realization of Artificial Neural Network for Control and Classification
... of neural network have been reported ...FPGA based approaches [10, 11, 18, 24], most of the hardware implementations provide no ...different neural network topologies ...for ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and ...complex control problems in the process ...the control of non-linear systems if ...
9
NEUROMATHEMATICS: DEVELOPMENT TENDENCIES. 1. Which tasks are adequate of neurocomputers?
... To design the algorithm of the solution using the classical computational mathematics with the multisequencing this algorithm on the set of ...the design of the neural network algorithm to ...
8
Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
... the design process, in order to attain the optimal ...the design of 44 different BGNN classifiers developed to specifically classify Anterior Myo- cardial ...5 design parameters. In addition, the ...
6
Stack propagation: Improved Representation Learning for Syntax
... Traditional syntax models typically lever- age part-of-speech (POS) information by constructing features from hand-tuned templates. We demonstrate that a better approach is to utilize POS tags as a reg- ularizer of ...
10
Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... The control results ...the neural network ...variables. Control performances of the controllers are evaluated using the integral absolute error (IAE) as summarized in Table ...
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