[PDF] Top 20 Dynamic Neural Network Based Nonlinear Control of a Distillation Column
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Dynamic Neural Network Based Nonlinear Control of a Distillation Column
... namic neural network (DNN) is more suitable to ap- proximate a nonlinear dynamic ...recurrent neural network has been used to learn the input-output relationship of a ... See full document
5
Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... adaptive control of complex dynamic systems causes the interest of automa- tion ...[1-3], neural networks are presented as tools to solve control problems due to their ability to model systems ... See full document
24
Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... Feedforward Neural Network (FNN) [4] is a static mapping and can not reflect the dynamics of the nonlin- ear systems without using Tapped Delay Lines (TDL) ...Recurrent Neural Network (RNN) ... See full document
6
Application of Artificial Neural Networks Based Monte Carlo Simulation in the Expert System Design and Control of Crude Oil Distillation Column of a Nigerian Refinery
... oil distillation column (CODC) to check for the accuracies and differences in their outputs from the network architectures ...oil distillation column of Port-Harcourt Refinery, ...the ... See full document
18
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... a Neural Network based Model Predictive Control (NNMPC) strategy to control nonlinear ...Perceptron Neural Network (MLP) is chosen to represent a Nonlinear ... See full document
9
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 ... See full document
18
Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... batch distillation, the extraction and the distillation are combined into one column called a batch extractive distillation ...the column. However, a batch extractive ... See full document
13
Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... uncertain nonlinear system is of vital importance. In recent years, control for uncertain nonlinear systems has aroused widespread interests about it ...Since neural networks and fuzzy logic ... See full document
7
A generalized procedure in designing recurrent neural network identification and control of time varying delayed nonlinear dynamic systems
... and control of a class of time-varying-delayed nonlinear dynamic systems is ...recurrent neural network is developed to accommodate the on-line identification, which the weights of the ... See full document
20
Generalized Regression Neural Network Based on Soft Sensor for Multicomponent Distillation Column
... Peng Robinson thermodynamic equations of state are used. Two level controllers are used one for condenser and another for reboiler which is essential for dynamic simulation. For the base case, the reflux ratio is ... See full document
8
Modeling of distillation column and intelligent control of reflux drum
... The above observation implies that modelling of the distillation column itself is a complex task. The differential equations that describe the model of the system cannot be used to derive a transfer ... See full document
6
Research of adaptive control algorithm research based on rough set and implementation
... adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ... See full document
7
RBF Neural Network Based Sliding Mode Control of a Lower Limb Exoskeleton Suit
... for control applications [9]. Sliding mode control solves the problems of uncertainties, nonlinearization and robustness of the electro- hydraulic servo robot well by giving satisfactory control ... See full document
10
Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... for nonlinear system identification have evolved over the years to provide better and faster learning capabilities with increasing automation of ...the network. Automation as such allows neural ... See full document
10
Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... the network structure and ...the network, if it satisfies the local search conditions, that is, if the fitness function value changes little or no change in the iteration process, the local fast search is ... See full document
6
Internal Model Control of Distillation Column With Optimal Pairing Technique
... Control of multivariable systems requires more complex analysis then that of single variable system. Fortunately, essentially all methods and results learned for single variable systems are applicable to ... See full document
7
Constrained Model Predictive Control for Fluorocarbon Refrigerant Distillation Column
... The standard configurations, as used by [3], include the follo ws L, D, V, B and their rat ios. Use of these manipulated variables has the advantage of being relatively easy to imp le ment and simple to understand for ... See full document
9
Recurrent Neural Network Identification: Comparative Study on Nonlinear Process
... The pH process is very important in many industrial applications. It is important to appreciate the diverse nature of these pH control applications because a small amount of acid or base near the set point shows ... See full document
6
Nonlinear identification of a batch reflux ratio controlled distillation column
... A distillation pilot plant, model number BP 681- 50, developed primarily for teaching, training and research purposes was used to substantiate the findings of this ... See full document
6
AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK
... using nonlinear neuron identification models namely NARX and ...the nonlinear system identification model undergoing for vortex induced vibration of marine riser depends on Neural Network ... See full document
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