artificial neural network application in control system

... direct inverse and unsupervised Supervised learning uses an existing controller or human feedback in training the neural network In order to train the neural network to imitate an existing controller ... training was finished the neural network was exported into simulink and the network was placed in the feedback loop instead of the existing control law The neural network controlled the inverted pendulum ... time neural controller If a neural controller was implemented in C, the neural weights from the trained network in Fig 83 could be transferred to the new network and set as initial weights In theory

Ngày tải lên: 24/09/2016, 17:26

... consisting of 122 samples During neural network training, the data set is divided into 80% data for training and 20% data for testing Data were standardized before training The neural network ... (trainbr) training algorithm: Trainbr is an ANN training function that allows updating weight and threshold values It minimizes the combination of squaring and weighting errors, and then determines ... ANN training algorithms From the data results Figure shows that in the case of identifying the load shedding strategy, the training method using the neural network with the Bayesian training algorithm

Ngày tải lên: 18/02/2023, 08:20

... measured data analysis, neural network training, model prediction performance analysis, neural network model changes and model verification Neural network model For utilizing a neural network model (NNM), ... used for NNM training Neural network training method Model boundaries Fuel supplied in the last 25 (kg) Air injected in the last 25 (m3) Time passed from the last fuel supply (min) Current syngas ... char, ash and minor contaminates) called ‘‘syngas’’, using gasifying agents [1] H2 and CO contain only around 50% of the energy in the gas while the remained energy is contained in CH4 and higher

Ngày tải lên: 01/08/2016, 09:32

... gasification can be considered in advanced applications in developed countries, and also for rural electrification in isolated installations or in developing countries In addition, it is the only ... equilibrium, kinetic and artificial neural networks According to Villanueva et al [1], equilibrium models are considered a good approach when simulating entrained-flow gasifiers in chemical process ... on artificial neural networks is that it does not require the mathematical description of the phenomena involved in the process, and might therefore prove useful in simulating and up-scaling

Ngày tải lên: 02/08/2016, 09:34

... response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert International Journal of Industrial Engineering Computations, 4(4), 469-478 ... regression and artificial neural network models for surface roughness prediction with the cutting parameters in CNC turning Modelling and Simulation in Engineering, 2007(2), Noordin, M Y., Venkatesh, ... surface roughness in machining hardened AISI D2 steel International Journal of Industrial Engineering Computations, 5(2), 295304 Sehgal, A.K., (2013) Application of artificial neural network and response

Ngày tải lên: 14/05/2020, 22:03

... Maritime Transportation System Engineering Van-Suong Nguyen A StudyonAn AutomaticShip Berthing Based on Artificial Neural Network Controller Using Head-up Coordinate System Supervisor Prof NamkyunIm ... Automatic Ship Berthing Based on Artificial Neural Network Controller Using Head-up Coordinate System Van-Suong Nguyen Department of Maritime Transportation System Engineering, Graduate School ... automatic ship berthing using artificial neural network, some new ideas are proposed in this research Firstly, head-up coordinate system is suggested to consider two new inputs for neural controller,

Ngày tải lên: 18/05/2021, 22:42

... proper input for smoothing NN In fact, the inputs in the smoothing NN should be defined according to this contextual information used in this tracking process The combined two stages for neural ... tracking (Figure 6) make final estimates more accurate and robust than trying to make the combined work into a single neural network Also training times showed to be lower than using a single network ... X Hong, and Z Xueqin, “Information fusion and tracking of maneuvering targets with artificial neural network, ” in Proceedings of the IEEE International Conference on Neural Networks (ICNN ’94),

Ngày tải lên: 24/12/2022, 14:02

... as single-layer linear networks are just as capable as multilayer linear networks. For every multilayer linear network, there is an equivalent single-layer linear network. 5.1 Single ADALINE ... seen in Fig. 10. Kalman Artificial Neural Networks - Industrial and Control Engineering Applications 276 approach has a suitable response in this case, but its error and overshoot in estimating ... t)+800 0.3 t 0.6 3 2 800sin( t+ )+20sin(3 t) 3 xx Bx x Cx x e Ve V ωω π ωω π ωω ⎧ ⎪ ⎪ ⎪ =≤≤ ⎨ ⎪ ⎪ = ⎪ ⎩ (48) Artificial Neural Networks - Industrial and Control Engineering Applications 272

Ngày tải lên: 20/06/2014, 00:20

... successful modelling of systems behaviour. In the field of neural network modelling the training data is crucial for creating a good generalising network covering a broad range of the systems behaviour. ... 332 Artificial Neural Networks - Industrial and Control Engineering Applications Sharkey, A J C (1999), Combining Artificial Neural Nets, ensemble and modular multi net systems, ... of engine exhaust pressure with predicted neural network signal 322 Artificial Neural Networks - Industrial and Control Engineering Applications Fig 15 Correlation of engine NOx

Ngày tải lên: 20/06/2014, 00:20

... 8 contain a set of 18 training and 18 testing samples in normalized form for HSS tool and Carbide tool respectively. Artificial Neural Networks - Industrial and Control Engineering Applications ... IMC is 362 Artificial Neural Networks - Industrial and Control Engineering Applications presented in [Rivera et al., 1986] IMC for nonlinear systems is introduced in [Economou ... Fig 9 Inverse Controller TW(k)... cutting by using neural networks Robotics and Computer Integrated Manufacturing, Vol 19, (189-199) Part 6 Control and Robotic Engineering 17 Artificial

Ngày tải lên: 20/06/2014, 00:20

... demonstrating the strong capabilities of artificial neural networks in nonlinear control applications 7 References Bavarian B (1988) Introduction to Neural Networks for Intelligent Control, ... system for RUAVs 398 Artificial Neural Networks - Industrial and Control Engineering Applications 3 System identification and control The main idea of system identification ... used to assist in the controller training The neural model reference control architecture uses two neural networks: a controller network and a plant model network, as shown in the Fig 6

Ngày tải lên: 20/06/2014, 00:20

... hypothesis testing and search of the LTM by sequentially engaging the novelty-sensitive orienting subsystem 438 Artificial Neural Networks - Industrial and Control Engineering Applications ... identification of a nonlinear system dynamics using artificial neural networks approach. This experiment develops a neural network model of the plant that we want to control. In the control design ... Longitudinal Mode 8. References [1] A. U. Levin, k. s Narendra,” Control of Nonlinear Dynamical Systems Using Neural Networks: Controllability and Stabilization”, IEEE Transactions on Neural Networks,

Ngày tải lên: 20/06/2014, 00:20

... Local Minima, Neural Network, 2, 53 58 15 Pengyi Shi, Zhuo Chen & Gaungming Xie (2006), Using Artificial neural network trained with genetic algorithm to model GDP prediction, Center for systems ... (2001), Neural Network Forecasting of Canada GDP Growth, International journal of Forcasting, 17, 57-69 Guoqiang Zhang, B.Eddy Patuwo & Micheal Y.Hu, Forecasting with artificial neural networks: ... growth using financial variables- Comparision of linear regression and neural network model, Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and

Ngày tải lên: 24/11/2014, 01:42

... '/Gain3' * * Regarding '/Gain3': * Gain value: rtP.Gain3_Gain */ rtB.Gain3 = rtB.Gain1_a * rtP.Gain3_Gain; /* Gain: '/Gain4' * * Regarding '/Gain4': * Gain value: rtP.Gain4_Gain */ rtB.Gain4 ... Gain: '/Gain1' * * Regarding '/Gain1': * Gain value: rtP.Gain1_b_Gain */ rtB.Gain1_b[0] = rtB.Reciprocal_a[0] rtP.Gain1_b_Gain; rtB.Gain1_b[1] = rtB.Reciprocal_a[1] rtP.Gain1_b_Gain; rtB.Gain1_b[2] ... Regarding '/Gain': * Gain value: rtP.Gain_b_Gain */ rtB.Gain_b[0] = rtB.netsum_a[0] rtP.Gain_b_Gain; rtB.Gain_b[1] = rtB.netsum_a[1] rtP.Gain_b_Gain; rtB.Gain_b[2] = rtB.netsum_a[2] rtP.Gain_b_Gain;

Ngày tải lên: 30/09/2015, 14:16

... intervention and least domain knowledge of the system for designing the controller Moreover, the neural network learning used here is classified as unsupervised since the outputs vary depending ... depending on the inputs and hence, there are no fixed input-output training data for training of the neural network This justifies the application of the DLPSO algorithm for designing the structure ... unconventional artificial intelligent techniques to solve complex control engineering problems proves to open a new dimension to Control Engineering This thesis focuses on the design of controllers,

Ngày tải lên: 05/10/2015, 22:04

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in a separate file as a sequence of floating point numbers in binary format, using 4 ... the console application for backprop training are optional. You may use them for validation and testing of your network, for input data normalization, and error limits during training process. >ann1dn ... layer: ANNetwork::ANNetwork(const wchar_t *fname); ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer); int nerons_per_layer[4] = {128, 64, 32, 10}; ANNetwork *ann = new ANNetwork(4,...

Ngày tải lên: 28/04/2014, 10:10

... manufacturing in the future [1, 2]. FIGURE 2.1 Hierarchy of neural network applications in intelligent manufacturing. Neural Network Applications in Intelligent Manufacturing System Modeling and ... developed a neural- network/ expert system for engine fault diagnosis in an integrated steel industry. A multilayer feedforward neural network was trained with engine fault information including maintenance ... preserving the quality of consolidation. Ding et al. [85] applied a neural network for predicting and controlling a leadscrew grinding process. The neural network was a multilayer neural network...

Ngày tải lên: 17/12/2013, 06:15

... supporting increased control- law gains through the reduction of phase lag. The increase of control- law gains will directly increase the noise susceptibility of the typical control system. In addition, ... usually to filter noise inputs. Filters are effective in reducing noise, but when filters are in the control loop, they add phase lag, reducing margins of stability; control- law gains often must be reduced ... 2-29b corresponds to the plot in Figure 2-32 with peaking. Peaking and ringing are both indicators of inadequate margins of stability. Stability issues will be discussed in Chapter 3. Like the Scope...

Ngày tải lên: 18/04/2014, 12:27

... enter: net=train(net,houseInputs,houseTargets); During training, the following training window opens. This window displays training progress and allows you to interrupt training at any point by clicking Stop Training. ... sections explain how to use three graphical tools for training neural networks to solve problems in function fitting, pattern recognition, and clustering. Neural Network including connections ... vectors into three sets: - 60% are used for training. - 20% are used to validate that the network is generalizing and to stop training before overfitting. Fitting a Function 1-13 Using the Neural...

Ngày tải lên: 28/04/2014, 10:17

... of the system, from the control of factory heating levels to satellite tracking, or from engine fuel control to controlling sheet thickness in a steel rolling mill, there is continual effort ... process of increasing excitation with reducing machine mass and damping has continued at an increasing rate to the present day when few, if any, machines can be designed without carrying out ... machinery, structures, and dynamic systems are also increasing, so that the dynamic performance requirements are always rising. Engineering Vibration Analysis with Application to Control Systems...

Ngày tải lên: 04/06/2014, 13:23