[PDF] Top 20 CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... Model predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and ...complex control problems in the process ...the ... See full document
9
A New Smith Predictor and Fuzzy RBF Neural Network Control for Wireless Networked Control Systems
... random network delay in the wireless networked control systems (WNCS), as well as controlled plant might be uncertain, a novel approach is proposed that new Smith predictor combined with fuzzy radial basis ... See full document
6
Neural Network-Based Identification and Approximate Predictive Control of a Servo-Hydraulic Vehicle Suspension System
... types of actuators used in AVSS are electro-hydraulic and electro-pneumatic actuators, but the former are more preferred because of their: superior power-to-weight ratio, fast response, high stiffness, ... See full document
12
Neural Network Based Control of an Absorption Column in the Process of Bioethanol Production
... stability of unconstrained multivariable predictive controllers, using polynomial operators and coprime matrix ...roots of two characteristic polynomial equations, hence allowing the complete ... See full document
12
Sistema híbrido neuro-evolutivo aplicado ao controle de um processo multivariável.
... sign based on a neural network and a genetic ...basis neural network is utilized for multivariable process ...is based on tuning of the PID controller gains by ... See full document
17
A Model Predictive Control Framework for AUV Formation Control
... optimal control problems has been exploited in order to formulate and solve problems of controlling formation of ...by using MPC schemes in either a decentralized or a centralized context ... See full document
6
Design and Implementation of a Neural Control System and Performance Characterization with PID Controller for Water Level Control
... the process of industrial are controlled such as temperature, level, and ...Some process needs to keep the liquid level in the plant such as water, oil, chemical liquid in ...level control is ... See full document
10
Neural Network Based Model Refinement
... [VISO06] nonlinear generators are described. Standard nonlinear model generators use predefined analytical forms for generating ...General nonlinear model generators build automatically ... See full document
9
Electric Voltage Control as an Implementation of Neural Network Applications
... general control problem can be stated as follows: Given a system with unknown dynamics, in order to construct a suitable controller for the system a model is often ...A model is any device that can ... See full document
6
An AUV Systems Model Predictive Control Approach
... a nonlinear model predictive control (NMPC) framework for collision-free formation flight controller design for unmanned aerial ve- hicles, (53), being the formation flight controller designed ... See full document
207
Model Reduction-Based Control of the Buck Converter Using Linear Matrix Inequality and Neural Networks
... various control techniques. These control methods use the approaches of: frequency analysis in the classical control theory, time analysis in the modern control theory, both frequency ... See full document
11
Neural Network Controller for Two links- Robotic Manipulator Control with Different Load
... development of robotic applications, in industrial therefore dynamic control of robot manipulators is one of the most important and challenging fields of robotics, in the recent years ... See full document
6
Non-Linear Multivariable Predictive Control of an Alcoholic Fermentation Process Using Functional Link Networks
... fermentation process using simulated data generated by a deterministic model whose parameters were obtained from the ...behavior of the process and presented good potential to be used ... See full document
12
HYBRIDIZATION OF ARTIFICIAL NEURAL NETWORK USING DESIRABILITY FUNCTIONS FOR PROCESS OPTIMIZATION
... phase of study, data were considered with the objective of robust control of fermentation ...fermentation process is a biological base system that runs smoothly depending on effective ... See full document
14
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 ... See full document
10
Neural networks based predictive control for thermal comfort and energy savings in public buildings
... use of model based predictive control (MBPC) with the purpose of efficiently controlling existing HVAC systems in large public build- ...follow-up of this past work, where ... See full document
14
Braz. J. Chem. Eng. vol.33 número1
... lack of a stationary state for batch sys- tems), adaptive control techniques have been devel- oped and applied mainly for predictive control where empirical models are ...models based ... See full document
14
Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
... majority of proposed adaptive controller a complementary term, called supervisory term, is added to the output of the fuzzy inference system or of the neural network system controller ... See full document
17
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... Adaptive Neural Network Sliding Mode Controller (ANNSMC) design approach is ...mode control method is studied for controlling DC motor because of its robustness against model ... See full document
5
Robust Non-Linear Direct Torque and Flux Control of Adjustable Speed Sensorless PMSM Drive Based on SVM Using a PI Predictive Controller
... development of power-and microelectronics and computer science opened a new way of investigation for PMSM with vector control strategies [1, ...Torque Control (DTC) seems to be a good ... See full document
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