neural network-based control
Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model
... Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or explicitly, some ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... temperature control. This work presents a neural network forward model (NN) to predict a concentration of methyl methacrylate, a jacket temperature and temperature profile in the ...predictive ...
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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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Dynamic Neural Network Based Nonlinear Control of a Distillation Column
... dynamic neural network is designed to identify the input-output relation of a distillation column ...the network is derived from a Lyapunov function so that the convergence of weights and the finite ...
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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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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... model based on support vectors representations, is being introduced by Castro-Neto et ...Bayesian network-based method for short-term traffic flow predictions ...convolutional neural networks ...
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A control of wind energy transformation systems via neural network
... a neural network-based adaptive control strategy for variable-velocity variable pitch wind energy transformation systems is ...is based on neural network-based ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... where B (i) specifies the approximation of the inverse Hessian and G[U (i) (t)] is the gradient of the J with respect to the control inputs. In QN algorithm, the inverse Hessian is approximated directly from cost ...
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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 ...
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Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
... emotional control, personality and personal needs, emphasizing the importance of environment, collective life and social requirements for individual mental health, ...indicators based on emotions, learning, ...
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NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS
... The control of pH process has a vast range of applications in wastewater treatment, biochemical and electrochemical processes, the paper and pulp industry and many other ...Tight control of pH is also ...
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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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Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... adaptive control struc- ture for a complex dynamic system using a recurrent neural ...neuro control, the recurrent neural has been trained off-line to implement the inverse dynamic of the ...
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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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Neural Network Based Torque Control of Switched Reluctance Motor for Hybrid Vehicle Propulsion
... optimal control scheme is difficult for SRM to reduce torque ripple and optimize the power efficiency in the whole speed range due to the high non-linearity existed in the torque-current-position characteristics ...
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Synchronized control with neuro agents for leader follower based multiple robotic manipulators
... synchronized control algorithm with neuro-agents is developed for MRMS in this ...leader-follower based synchronization error, RBF NN based follower manipulators’ modeling error compensator and RBF ...
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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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Underwater Glider Motion Control Based on Neural Network
... the control signal and system ...the neural network method, experiments were conducted in the South China ...the neural network model began to glide and complete the task well according ...
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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 algorithm is ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... predictive control based direct neural controllers represent another class of computer application in the field of non-linear ...or neural networks can be used as parameterized nonlinear ...
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