neural network control method
A Type of Delay Feedback Control of Chaotic Dynamics in a Chaotic Neural Network
... asynchronous neural networks gives chaotic itinerancy in memory space in relation to memory ...DFC method is one which accomplishes the ...chaotic neural network with our DFC control ...
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Artificial Neural Network Control of Permanent Magnet Synchronous Motor
... two neural network methods are suggested to minimize torque ripples of ...first method of neural network is based on adaptive control technique, in addition to a space vector ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... A dynamic optimization problem for the BED is transformed into a nonlinear programming (NLP) problem solved by a SQP-based optimization technique and the process models are integrated by the Gear’s type method. ...
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... the neural network was created, trained, validated, and tested on the calibration data, in a further step, it was tested on our data set of clinical data (described in detail above under the “Data” ...
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A hybrid artificial neural network - genetic algorithm for load shedding
... the method of applying Artificial Neural Network (ANN) with Back Propagation (BP) algorithm in combination or hybrid with Genetic Algorithm (GA) to propose load shedding strategies in the power ...
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Neural-network based vector control of VSCHVDC transmission systems
... In order to assess the performance of the conventional and neural network methods, we developed a VSC-HVDC system in SimPowerSystems (Fig. 7) (parameters in Appendices). A three-level neutral-point-clamped ...
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... a neural network model algorithm control (NNMAC) method for the path tracking control of differentially steered wheeled mobile robots (WMRs) subject to nonholonomic ...algorithm ...
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Neural network method for control valve cost estimation on the EPC project bidding
... Propagation Neural Network method to help determine cost ...This method is applied specifically to determine control valve cost estimation on the bidding phase so that the retrieved ...
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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 Based on PID Controller for Two links- Robotic Manipulator Control
... In this section we derive the equations of motion for an individual link based on the direct method has been derived, i.e. Newton-Euler Formulation. The motion of a rigid body can be decomposed into the ...
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A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
... multi-layered neural network can be used for the approximation of any nonlinear ...the neural networks often cited are parallel distributed structure, and learning ...intelligent control of ...
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Stock Market Prediction with Neural Network Method
... From the network the error is 0.0000 and the bias is - 3,90500 with 6 nodes detail this is an optimal condition of error and bias. Validating cycles only occur when validating examples are included in the Grid. A ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... three control terms: a linear control term , an adaptive neural network control term and a robustifying control term used to compensate for disturbances and approximation ...
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Design of radial basis function neural network controller for BLDC motor control system
... satisfied control characteristics by using normal conventional PID ...identification method based on Radial Basis Function(RBF) has been proposed in this ...this method, connection weight of ...
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Uncalibrated visual servo control with neural network
... a control approach fo r a robotics ...servo control problem. The model uses new neural network architecture and a new algorithm fo r modifying neural connection ...The network is ...
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A Direct Adaptive MNN Control Method for Stage Having Paired Reluctance Linear Actuator with Hysteresis
... nonlinear control method is proposed for the stage having paired reluctance linear actuator with hysteresis using the direct adaptive neural network, which is used as a learning machine of ...
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Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... based method (radial basis function neural network model) was adopted in this paper to recognize the collaborator’s intention during human-robot ...of neural network, the human-robot ...
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Research on Control Strategy of Intelligent Vehicle Autonomous Learning Based on Neural Network Algorithm
... In this paper, the intelligent control method based on neural network algorithm is used to control the influence parameters of damping force of shock absorber.. Memory architecture is es[r] ...
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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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Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... new neural network architecture called based on the adaptation of the shape of the sig- moid weight of the hidden layer neurons and have intro- duced its corresponding dynamic back propagation learning ...
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