[PDF] Top 20 Adaptive neural network cascade control system with entropy-based design
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Adaptive neural network cascade control system with entropy-based design
... Effective control of superheated steam temperature is crucial for safe and efficient operations in power ...plants. Cascade controllers have been commonly used for this type of systems [3], where the inner ... See full document
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Adaptive Control based Particle Swarm Optimization and Chebyshev Neural Network for Chaotic Systems
... Motivated by the aforementioned analysis, the PSO algorithm is utilized to determine the connection weights of the CNNs, thus a novel CNN algorithm based on the PSO is proposed. In this case, we use the proposed ... See full document
6
Application of PID Neural Network Control System Based on Virtual Instrument
... PID neural network controller can make both neural networks and PID control into an organic whole, which has the merit of any PID controller for its simple construction and definite physical ... See full document
6
An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... power system with the energy storage control for a 40% torque pulse for ...NN control and compares it with the reference value and also the response without any ...the system unstable in the ... See full document
12
Neural Network-Based Adaptive Motion Control for a Mobile Robot with Unknown Longitudinal Slipping
... discussing control strategy, a typical example of a differentially driven mobile robot used for the research of trajectory tracking is considered in this ...whole system, each motor has almost the same ... See full document
9
Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems
... an adaptive feedforward controller based on a neural network (NN) is proposed to improve the DSS testing perfor- ...compensation design, a modified DSS framework is developed so that ... See full document
12
Adaptive neural network backstepping control of fractional order Chua–Hartley chaotic system
... chaotic system with unknown external disturbances by using the backstepping ...the system uncertainties are approximated by NNs; secondly, based on the frac- tional Lyapunov stability theory, a ... See full document
14
Mill Load Control System Based on the Improved Ant Colony Neural Network
... In the basic ant colony algorithm, subinterval with the largest information amount in the next node was selected according to the probability of p . Furthermore, the path with the maximum information amount was usually ... See full document
10
Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network
... the adaptive internal model control of DC motor in both cases conventional and ...of design building blocks of adaptive internal model control are the choice of architectures, learning ... See full document
22
Adaptive neural network fuzzy inference system for HFC processes
... The control system for HFC process robots (thermal treatments by high-frequency hardening) is based on the magnetic induction phenomenon and the film effect, according to which the piece to be ... See full document
7
Adaptive Cascade Classifier based Multimodal Biometric Recognition and Identification System
... forward network with four layers, input layer, pattern layer, summation layer and output layer ...(RBF) neural network is trained to perform a mapping from m x n dimensional input space to an n ... See full document
6
Design of Neural Network Based Sensorless Induction Motor Speed Control Drive
... drive system and generates the three phase voltages and three phase currents along with the operating frequency and ...speed. System Operation parameters : Ramp up time, Highest set Speed, initial set ... See full document
8
Design of radial basis function neural network controller for BLDC motor control system
... satisfied control characteristics by using normal conventional PID ...method based on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according to ... See full document
8
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... In this paper a DC motor is controlled via the input voltage. The control design and theory for controlling a DC motor via current is nearly the same. For simplicity, a constant value as a reference signal ... See full document
5
Design and implementation smart security system based on Artificial Neural Network
... A Neural Network (NN) is a computational or mathematical model that is inspired by functional aspects and the structure of biological ...A Neural Network are composed of an artificial neurons ... See full document
11
Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
... ADALINE network and control algorithm are com- puted in the PIC18F452 ...closed-loop control system includes (a) A power amplifier to amplify the voltage required by the DC ... See full document
8
Adaptive Cascade Generalized Predictive Control
... Whatever, based on the PID there are always two controllers needed to be ...of cascade control are obvious that primary controller and secondary controller should be tuned to- gether, which ... See full document
11
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 ... See full document
7
Design of LTE System by using Neural Network Adaptive Equalizer Based on Discrete Fourier and Wavelet Transforms
... 4G system specifications such as audio stream as multimedia applications in addition to interactive games, mobile TV, the internet and video ...wireless system aims to obtain a high data rate to fixed nodes ... See full document
13
Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... composite system having pale, uncertain, or imprecise order, was first reported by ...fuzzy based system modeling is efficient when compared with conventional methods [31, ...Mamdani based ... See full document
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