Relevant bibliographies by topics / ANN CONTROLLER

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'ANN CONTROLLER'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "ANN CONTROLLER"

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Banda, Gururaj, and Sri Gowri Kolli. "An Intelligent Adaptive Neural Network Controller for a Direct Torque Controlled eCAR Propulsion System." World Electric Vehicle Journal 12, no. 1 (March 17, 2021): 44. http://dx.doi.org/10.3390/wevj12010044.

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This article deals with an intelligent adaptive neural network (ANN) controller for a direct torque controlled (DTC) electric vehicle (EV) propulsion system. With the realization of artificial intelligence (AI) conferred adaptive controllers, the torque control of an electric car (eCAR) propulsion motor can be achieved by estimating the stator reference flux voltage used to synthesize the space vector pulse width modulation (SVPWM) for a DTC scheme. The proposed ANN tool optimizes the parameters of a proportional integral (PI) controller with real-time data and offers splendid dynamic stability. The response of an ANN controller is examined over standard drive cycles to validate the performance of an eCAR in terms of drive range and energy efficiency using MATLAB simulation software.
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Alatshan, Mohammed Salheen, Ibrahim Alhamrouni, Tole Sutikno, and Awang Jusoh. "Improvement of the performance of STATCOM in terms of voltage profile using ANN controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (December 1, 2020): 1966. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp1966-1978.

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The electronic equipments are extremely sensitive to variation in electric supply. The increasing of a nonlinear system with several interconnected unpredicted and non-linear loads are causing some problems to the power system. The major problem facing the power system is power quality, controlling of reactive power and voltage drop. A static synchronous compensator (STATCOM) is an important device commonly used for compensation purposes, it can provide reactive support to a bus to compensate voltage level. In this paper, the Artificial Neural Network (ANN) controlled STATCOM has been designed to replace the conventional PI controller to enhance the STATCOM performance. The ANN controller is proposed due to its simple structure, adaptability, robustness, considering the power grid non linearities. The ANN is trained offline using data from the PI controller. The performance of STATCOM with case of Load increasing and three-phase faults case was analyzed using MATLAB/Simulink software on the IEEE 14-bus system. The comprehensive result of the PI and ANN controllers has demonstrated the effectiveness of the proposed ANN controller in enhancing the STATCOM performance for Voltage profile at different operating conditions. Furthermore, it has produced better results than the conventional PI controller.
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Chen, Wei Lun, and Gong Cai Xin. "Research on ANN Dynamic Inversion Control of UAV." Advanced Materials Research 466-467 (February 2012): 1353–57. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1353.

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The paper proposes a method to design AANN dynamic inversion controller through online ANN compensating inversion error. It mainly aims at evident shortage of dynamic inversion controller of UAV. A single hidden layer ANN structure is constructed and the stability of the whole closed loop system is proved. Also the stable adjustment arithmetic of online ANN weight is proposed. The robustness, the adaptability to fault and the response capability to actuator delay time of the scheme are verified by simulation. It is also proved that the online ANN has improved the performance of dynamic inversion controller well. It has important reference value for designing advanced flight control systems of UAV.
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Lee, Heung-Jae, Seong-Su Jhang, Won-Kun Yu, and Jung-Hyun Oh. "Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems." Energies 12, no. 17 (September 2, 2019): 3372. http://dx.doi.org/10.3390/en12173372.

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This paper proposed an ANN (Artificial Neural Network) controller to damp out inter-area oscillation of a power system using BESS (Battery Energy Storage System). The conventional lead-lag controller-based PSSs (Power System Stabilizer) have been designed using linear models usually linearized at heavy load conditions. This paper proposes a non-linear ANN based BESS controller as the ANN can emulate nonlinear dynamics. To prove the performance of this nonlinear PSS, two linear PSS are introduced at first which are linearized at the heavy load and light load conditions, respectively. It is then verified that each controller can damp out inter-area oscillations at its own condition but not satisfactorily at the other condition. Finally, an ANN controller, that learned the dynamics of these two controllers, is proposed. Case studies are performed using PSCAD/EMTDC and MATLAB. As a result, the proposed ANN PSS shows a promising robust nonlinear performance.
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Mugheri, N. H., M. U. Keerio, S. Chandio, and R. H. Memon. "Robust Speed Control of a Three Phase Induction Motor Using Support Vector Regression." Engineering, Technology & Applied Science Research 11, no. 6 (December 11, 2021): 7861–66. http://dx.doi.org/10.48084/etasr.4476.

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The Three Phase Induction Motor (TIM) is one of the most widely used motors due to its low price, robustness, low maintenance cost, and high efficiency. In this paper, a Support Vector Regression (SVR) based controller for TIM speed control using Indirect Vector Control (IVC) is presented. The IVC method is more frequently used because it enables better speed control of the TIM with higher dynamic performance. Artificial Neural Network (ANN) controllers have been widely used for TIM speed control for several reasons such as their ability to successfully train without prior knowledge of the mathematical model, their learning ability, and their fast implementation speed. The SVR-based controller overcomes the drawbacks of the ANN-based controller, i.e. its low accuracy, overfitting, and poor generalization ability. The speed response under the proposed controller is faster in terms of rising and settling time. The dynamic speed response of the proposed controller is also superior to that of the ANN-PI controller. The performance of the proposed controller was compared for TIM speed control with an ANN-PI controller via simulations in SIMULINK.
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Albert Alexander, S., R. Harish, M. Srinivasan, and D. Sarathkumar. "Power Quality Improvement in a Solar PV Assisted Microgrid Using Upgraded ANN-Based Controller." Mathematical Problems in Engineering 2022 (October 7, 2022): 1–12. http://dx.doi.org/10.1155/2022/2441534.

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This paper proposes the design of a controller using the artificial neural network (ANN) for a solar photovoltaic (PV)-fed cascaded multilevel inverter (CMLI) to enhance the power quality. The objective of this presented ANN controller is to obtain a maximum output voltage with no filter components. This paper also investigates and eliminates the voltage harmonics that occurred in a solar-fed cascaded 3-stage inverter using various techniques such as pulse width modulation (PWM), digital logic control (DLC), fuzzy logic controller (FLC), and ANN, and the results are compared. Based on the results, the proposed ANN-based controller efficiently reduces harmonics and improves the power quality. This is achieved by solving the harmonic equations and thereby changing the switching angles of each semiconductor to a minimum value. The ANN is trained by a dataset consisting of varying input voltage and switching angles. The simulation was performed using MATLAB/Simulink for different types of controllers like PWM, DLC, FLC, and ANN for the 3-stage inverter. The simulated results are compared with the results obtained from a 3 kWp photovoltaic plant connected to the CMLI. Finally, on the basis of performance analysis, it was confirmed that the ANN-based controller effectively eliminates harmonics and improves the power quality.
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Liu, Bao, Na Gao, Fei Liu, Ling Fan, and Yi Yong Sui. "An Improved ANN Controller on the Efficiency Optimization of Offshore Petroleum Platform." Applied Mechanics and Materials 571-572 (June 2014): 1042–46. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1042.

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An improved ANN controller is presented inspired from hormone modulation function. This ANN controller consists of the main ANN controller and the conventional controller. To increase the learning efficiency, the slop of the excitation function is changed by the correcting parameters according to the hormone modulation law. To improve the control accuracy, we chose the accumulation of control error during the regulating process. And to avoid the integrated saturation, we judge the input of BP based on the absolute value of error. The main ANN controller adjusts the control input of the secondary conventional controller. To testify the effectiveness of the improved ANN controller, we apply it on the experiment device of offshore oil platform. The results show that the improved ANN controller has better control performance than the conventional controller and the normal ANN controller.
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Woodford, Grant W., and Mathys C. du Plessis. "Complex Morphology Neural Network Simulation in Evolutionary Robotics." Robotica 38, no. 5 (July 22, 2019): 886–902. http://dx.doi.org/10.1017/s0263574719001140.

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SUMMARYThis paper investigates artificial neural network (ANN)-based simulators as an alternative to physics-based approaches for evolving controllers in simulation for a complex snake-like robot. Prior research has been limited to robots or controllers that are relatively simple. Benchmarks are performed in order to identify effective simulator topologies. Additionally, various controller evolution strategies are proposed, investigated and compared. Using ANN-based simulators for controller fitness estimation during controller evolution is demonstrated to be a viable approach for the high-dimensional problem specified in this work.
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Jarupula, Somlal, Narsimha Rao Vutlapalli, and Narsimha Rao Vutlapalli. "Power Quality Improvement in Distribution System using ANN Based Shunt Active Power Filter." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (April 1, 2015): 568. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp568-575.

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<p>This paper focuses on an Artificial Neural Network (ANN) controller based Shunt Active Power Filter (SAPF) for mitigating the harmonics of the distribution system. To increase the performance of the conventional controller and take advantage of smart controllers, a feed forward-type (trained by a back propagation algorithm) ANN-based technique is implemented in shunt active power filters for producing the controlled pulses required for IGBT inverter. The proposed approach mainly work on the principle of capacitor energy to maintain the DC link voltage of a shunt connected filter and thus reduces the transient response time when there is abrupt variation in the load. The entire power system block set model of the proposed scheme has been developed in MATLAB environment. Simulations are carried out by using MATLAB, it is noticed that the %THD is reduced to 2.27% from 29.71% by ANN controlled filter. The simulated experimental results also show that the novel control method is not only easy to be computed and implemented, but also very successful in reducing harmonics.</p><p> </p>
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Mahar, Hina, Hafiz Mudasir Munir, Jahangir Badar Soomro, Faheem Akhtar, Rashid Hussain, Mohamed F. Elnaggar, Salah Kamel, and Josep M. Guerrero. "Implementation of ANN Controller Based UPQC Integrated with Microgrid." Mathematics 10, no. 12 (June 9, 2022): 1989. http://dx.doi.org/10.3390/math10121989.

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This study discusses how to increase power quality by integrating a unified power quality conditioner (UPQC) with a grid-connected microgrid for clean and efficient power generation. An Artificial Neural Network (ANN) controller for a voltage source converter-based UPQC is proposed to minimize the system’s cost and complexity by eliminating mathematical operations such as a-b-c to d-q-0 translation and the need for costly controllers such as DSPs and FPGAs. In this study, nonlinear unbalanced loads and harmonic supply voltage are used to assess the performance of PV-battery-UPQC using an ANN-based controller. Problems with voltage, such as sag and swell, are also considered. This work uses an ANN control system trained with the Levenberg-Marquardt backpropagation technique to provide effective reference signals and maintain the required dc-link capacitor voltage. In MATLAB/Simulink software, simulations of PV-battery-UPQC employing SRF-based control and ANN-control approaches are performed. The findings revealed that the proposed approach performed better, as presented in this paper. Furthermore, the influence of synchronous reference frame (SRF) and ANN controller-based UPQC on supply currents and the dc-link capacitor voltage response is studied. To demonstrate the superiority of the suggested controller, a comparison of percent THD in load voltage and supply current utilizing SRF-based control and ANN control methods is shown.
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Dissertations / Theses on the topic "ANN CONTROLLER"

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Chamanirad, Mohsen. "Design and implementation of controller for robotic manipulators using Artificial Neural Networks." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6297.

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In this thesis a novel method for controlling a manipulator with arbitrary number of Degrees of freedom is proposed, the proposed method has the main advantages of two common controllers, the simplicity of PID controller and the robustness and accuracy of adaptive controller. The controller architecture is based on an Artificial Neural Network (ANN) and a PID controller.

The controller has the ability of solving inverse dynamics and inverse kinematics of robot with two separate Artificial Neural Networks. Since the ANN is learning the system parameters by itself the structure of controller can easily be changed to

improve the performance of robot.

The proposed controller can be implemented on a FPGA board to control the robot in real-time or the response of the ANN can be calculated offline and be reconstructed by controller using a lookup table. Error between the desired trajectory path and the path of the robot converges to zero rapidly and as the robot performs its tasks the controller learns the robot parameters and generates better control signal. The performance of controller is tested in simulation and on a real manipulator with satisfactory results.

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Thomas, Philip S. "A Reinforcement Learning Controller for Functional Electrical Stimulation of a Human Arm." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1246922202.

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Chang, Jen. "Hydrodynamic modeling and feasibility study of harnessing tidal power at the Bay of Fundy." View ebook online, 2008. http://digitallibrary.usc.edu/assetserver/controller/item/etd-Chang-20080312.pdf.

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MacGregor, Scott D. "A fault tolerant transportation controller." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43482.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
Includes bibliographical references (leaf 66).
by Scott D. MacGregor.
M.Eng.
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Pakalapati, Lalita Varma V. (Lalita Varma Venkata) 1976. "Controlled release microchip." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/7976.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2003.
Includes bibliographical references (leaf 34).
Microchips for constant release are not a new concept, but a controlled release chip, which does pulsatile release at variable time intervals, is clearly more efficient and useful. The process was completely understood about the theory of operation, the manufacturing procedure and the robustness of the controlled release microchip. The complete application analysis has been done along with the intellectual property study. The study involved finding out the industry opinion of the device and the usefulness of the device and all the people who might have intellectual property rights in the field. As a result numerous applications of the device have been found out along with the important parameters the device should be concentrating on have been suggested.
by Lalita Varma V. Pakalapati.
M.Eng.
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Samadi, Khah Pouya. "Performance Modeling of OpenStack Controller." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-195649.

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OpenStack is currently the most popular open source platform for Infrastructure as a Service (IaaS) clouds. OpenStack lets users deploy virtual machines and other instances, which handle different tasks for managing a cloud environment on the fly. A lot of cloud platform offerings, including the Ericsson Cloud System, are based on OpenStack. Despite the popularity of OpenStack, there is currently a limited understanding of how much resource is consumed/needed by components of OpenStack under different operating conditions such as number of compute nodes, number of running VMs, the number of users and the rate of requests to the various services. The master thesis attempts to model the resource demand of the various components of OpenStack in function of different operating condition, identify correlations and evaluate how accurate the predictions are. For this purpose, a physical OpenStack is setup with one strong controller node and eight compute nodes. All the experiments and measurements were on virtual OpenStack components on top of the main physical one. In conclusion, a simple model is generated for idle behavior of OpenStack, starting and stopping a Virtual Machine (VM) API calls which predicts the total CPU utilization based on the number of Compute Nodes and VMs.
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Raissi, Dehkordi Vahid. "Managing uncertainty in robust controller implementation." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103536.

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For a linear time-invariant (LTI) plant, a robust controller is often designed in order to maintain robust stability and performance of the system. In robust controller implementation, two problems might arise. First, it is interesting to know whether it is possible to simplify the controller and to what degree before its implementation while still maintaining system robust performance. The second concern arises in real-time applications where the controller may have to be retuned or redesigned several times after the initial implementation stage. In both problems, it is important to know how much a modified controller can deviate from the originally designed one in the frequency domain. The robust controller deviation is modeled as the controller uncertainty just like any other uncertainty with its own unique weighting function. A necessary and sufficient condition for robust performance as well as a sufficient condition is derived in the form of bounds on the magnitude of maximum deviation of the robust controller over a grid of frequency samples for a single-input single-output (SISO) structure. The multi-input multi-output (MIMO) case is also addressed by providing an upper bound on the maximum singular value of the system's frequency response derived at individual frequency samples, leading to a sufficient condition for robust performance. The above bounds are used in conjunction with the balanced truncation technique in order to determine how much the order of a robust controller can be reduced without losing robust performance. The order reduction limit is expressed as the maximum number of states that can be removed in a state-space realization of the robust controller for both SISO and MIMO system structures, without actually having to reduce the order. Finally, a practical approach is proposed in order to derive a robust internal model (IMC) controller for an SISO system structure. The ideal robust IMC controller is already provided as a function of the frequency response of all system components at every frequency sample. It is then approximated with a stable and preferably low order system while maintaining robust performance in three steps - the inverse fast Fourier transform (IFFT), the finite impulse response (FIR) approximation, and the FIR-to-IIR (infinite impulse response) conversion.
Un contrôleur robuste est souvent conçu afin de maintenir la stabilité et la performance robuste d'un système linéaire invariant dans le temps. Durant l'implantation d'un tel contrôleur, deux problèmes se présentent. Premièrement, il est intéressant de savoir s'il est possible de simplifier le contrôleur robuste et si oui, jusqu'à quel point avant de l'implanter, tout en garantissant la performance robuste. Le deuxième problème se pose dans les applications à temps réel où le contrôleur devrait être refait ou ajusté plusieurs fois après la mise en service initiale. Il est important de savoir, concernant les deux problèmes ci-dessus, jusqu'à quel point le contrôleur modifié peut s'éloigner de l'original dans le domaine des fréquences. Une condition suffisante et nécessaire pour la performance robuste ainsi qu'une condition suffisante sont dérivées sous forme de limites sur le module de la déviation maximum du contrôleur robuste sur une grille de fréquences pour un système à sortie unique et à entrée unique (SISO). Le cas d'entrées et sorties multiples (MIMO) est aussi traité en fournissant une limite sur la valeur singulière maximum de la réponse en fréquence du système calculée à chaque point de fréquence, formant une condition suffisante pour la performance robuste. Les limites ci-dessus sont utilisées avec la technique de réduction équilibrée (balanced truncation) afin de déterminer à quel point il est possible de réduire l'ordre du contrôleur sans perdre la performance robuste. Le nombre maximum d'états du contrôleur admissibles pour l'élimination est donné, sans vraiment devoir le modifier. Finalement, une méthode pratique est proposée pour réaliser un contrôleur robuste basé sur la commande par modèle interne (IMC) pour un système SISO. La réponse en fréquence du contrôleur robuste idéal est déjà fournie comme une fonction de la réponse en fréquence de toutes les composantes de système. Puis, le contrôleur idéal est approximé par un système stable et préférablement d'ordre peu élevé en gardant la performance robuste aux trois étapes : transformation inverse de Fourier rapide (IFFT), approximation par un système de réponse impulsionnelle finie (FIR) et conversion de FIR à réponse impulsionnelle infinie (IIR).
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Bhuta, Dimple. "Brain Controlled Switch." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2795.

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This study aims at designing and implementing a single channel stand-alone Brain-Controlled Switch (BCS) device, which records the electroencephalography (EEG) signals from the scalp using electrodes, amplifies it, eliminates interferences (associated with the EEG signals) and processes the EEG signals to extract and decode temporal signal features to determine user’s intention of regulating an external switch. The design of our “brain-controlled switch” device is implemented using a bio-potential amplifier and a microcontroller. The bio-potential amplifier amplifies the EEG signals to a level sufficient for processing, eliminates interferences and ensures patient safety. The microcontroller (dsPIC30F4013) digitizes the amplified and conditioned analog EEG signals from the bio-potential amplifier, extracts the desired signal features for decoding and prediction of user’s intention and accordingly operates the external switch. When the user concentrates on an external visual stimulus or performs externally triggered movement (hand movement or motor imagery movement), a reproducible pattern appears in user’s EEG frequency bands. The analysis of these patterns is used to decode and predict user’s intention to operate an external switch. To realize our “brain-controlled switch”, we explored two EEG sources: steady-state visually evoked potentials (SSVEP) and beta rebounds, which are patterns generated in the EEG frequency bands associated with focusing on an external visual stimulus or performing externally triggered movements. In case of SSVEP based brain controlled switch, a repetitive visual stimulus (LED flickering at a specified frequency) was used. When the user concentrates on the flickering LED, a dominant fundamental frequency (equivalent to the flickering frequency) appears in the spectral representation of the EEG signals recorded at occipital lobes. Our microcontroller implemented a digital band pass filter to extract the frequency band containing this fundamental frequency and continuously took an average of the amplitude power every predetermined time interval. Whenever the amplitude average power exceeded the preset power threshold the external switch was turned ON. A healthy subject participated in this study, and it took approximately 3.14 ± 1.81 seconds of active concentration for the subject to turn ON the switch in real time with a false positive rate of 1.17%. In case of beta rebound based brain controlled switch, the subject was instructed to perform a brisk hand movement following an external synchronization signal. Our design focused on the post-movement beta rebound which occurs after the cessation of the movement to operate the external switch. Our microcontroller in this case implemented a digital band pass filter to extract the beta band and continuously took an average of its amplitude power every predetermined time interval. Whenever the amplitude average power exceeded the preset power threshold the external switch was turned ON. It took approximately 12.23 ± 7.39 seconds of active urging time by the subject to turn ON the switch in real time with a false positive rate of 9.33%. Thus we have designed a novel stand-alone BCS device which operates an external switch by decoding and predicting user’s intentions.
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Buyukkeles, Umit. "Improved Torque And Speed Control Performance In A Vector-controlled Pwm-vsi Fed Surface-mounted Pmsm Drive With Conventional P-i Controllers." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614294/index.pdf.

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In this thesis, high performance torque and speed control for a surface-mounted permanent magnet synchronous machine (PMSM) is designed, simulated and implemented. A three-phase two-level pulse width modulation voltage-source inverter (PWM-VSI) with power MOSFETs is used to feed the PMSM. The study has three objectives. The first is to compensate the voltage disturbance caused by nonideal characteristics of the voltage-source inverter (VSI). The second is to decouple the coupled variables in the synchronous reference frame model of the PMSM. The last is to design a load torque estimator in order to increase the disturbance rejection capability of the speed control. The angular acceleration required for load torque estimation is extracted through a Kalman filter from noisy velocity measurements. Proposed methods for improved torque and speed control performance are verified through simulations and experimental tests. The drive system is modeled in Matlab/Simulink, and control algorithms are developed based on this model. The experimental drive system comprises a three-phase VSI and a 385 W surface-mounted PMSM. Control algorithms developed in the study have been implemented in a digital signal processor (DSP) board and tested comprehensively. With the use of the proposed methods, a considerable improvement of torque and speed control performance has been achieved.
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Francisco, Denilson de Oliveira. "Manutenção de modelos para controladores preditivos industriais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/171396.

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O escopo desta dissertação é o desenvolvimento de uma metodologia para identificar os modelos de canais da matriz dinâmica que estejam degradando o desempenho de controladores preditivos, ou MPC (Model Predictive Control), baseado nas técnicas de auditoria e diagnóstico deste tipo de controlador propostas por BOTELHO et al. (2015) e BOTELHO; TRIERWEILER; FARENZENA (2016) e CLARO (2016). A metodologia desenvolvida contempla dois métodos distintos. O primeiro, chamado método direto compensado, tem como base o método direto de identificação em malha fechada (LJUNG, 1987)e compensa cada saída medida do processo de modo a se reter apenas a contribuição do canal que se deseja identificar. O segundo, chamado método do erro nominal, utiliza a definição de saída nominal do processo, proposta por BOTELHO et al. (2015), como métrica para se quantificar o quão próximo o modelo está do comportamento da planta através da minimização do erro nominal. Os métodos foram aplicados ao sistema de quatro tanques cilíndricos (JOHANSSON, 2000) para dois cenários distintos, sendo o primeiro um sistema 2x2 em fase não mínima contendo um MPC trabalhando com setpoint e o segundo um sistema 4x4 em fase mínima com o MPC atuando por faixas. Para o sistema 2x2, se avaliou a influência da localização do canal discrepante (dentro ou fora da diagonal principal da matriz dinâmica de transferência) na eficácia dos métodos. Para o sistema 4x4, o estudo foi voltado para a eficácia dos métodos frentes a controladores que atuam dentro de limites para as variáveis. Os modelos identificados foram comparados pela capacidade de identificar um modelo que capturasse o zero de transmissão da planta e o RGA dinâmico, par ao sistema 2x2, e pelas respostas degrau e diagrama de Bode para o sistema 4x4. O método direto compensado resultou em baixo erro relativo no valor do zero para a discrepância na diagonal principal da matriz dinâmica e alto valor quando a discrepância se encontrava fora da diagonal principal. O método do erro nominal, por sua vez, foi capaz de identificar um modelo cujo zero de transmissão possuía baixo erro relativo frente ao zero da planta em ambos os cenários. No cenário do controlador atuando por faixas, os métodos propostos obtiveram melhores estimativas dos modelos quando comparados com o método concorrente, uma vez que apresentou alto percentual de aderência das saídas simuladas com as saídas medidas. Em todos os cenários estudados, o método do erro nominal se mostrou capaz de identificar um modelo mais robusto, pois este apresentou RGA dinâmico compatível com a planta em todo o range de frequências analisado.
The objective of this dissertation is to develop a method to identify the model for the channel of the dynamic matrix that are affecting the performance of model predictive controllers (MPC), based on the assessment and diagnosis techniques for this type of controller proposed by BOTELHO et al. (2015) e BOTELHO; TRIERWEILER; FARENZENA (2016) and CLARO (2016). The proposed methodology includes two different methods. The first, called the compensated direct method, is based on the closed-loop direct identification method (LJUNG, 1987) and compensates each process measured output in order to retain only the contribution of the channel being identified. The second, called nominal error method, uses the definition of the process nominal output, proposed by BOTELHO et al. (2015), as a metric to quantify how close the model is to the actual plant behavior by minimizing the nominal error. The proposed methods were applied to the quadruple-tank system (JOHANSSON, 2000) for two distinct scenarios, the first being a nonminimum-phase 2x2 system containing a MPC working with setpoint and the second a minimum-phase 4x4 system with the MPC working by ranges. For the 2x2 system, the influence of the model mismatch location (inside or outside the main diagonal of the dynamic transfer matrix) on the effectiveness of the methods was evaluated. For the 4x4 system, the study was focused on the effectiveness of the methods with controllers that operate within limits for the variables. The identified models were compared by the capability of identifying a model with accurate plant transmission zero and dynamic RGA, for the 2x2 system, and by the step responses and Bode diagram for the 4x4 system. The compensated direct method resulted in low relative error in the value of the transmission zero for the model mismatch located in the main diagonal of the dynamic matrix and high relative error when the mismatch was outside the main diagonal. On the other hand, the nominal error method was able to identify a model whose transmission zero had low relative error against the plant zero in both scenarios. In the scenario of a controller working by range, the proposed methods obtained better estimates of the models when compared to the concurrent method, since it presented a high percentage of adherence of the simulated outputs with the measured outputs. In all the studied scenarios, the nominal error method was able to identify a more robust model, since it presented dynamic RGA compatible with the plant in the entire range of analyzed frequencies.
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Books on the topic "ANN CONTROLLER"

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Programmable controller circuits. Albany: Delmar Publishers, 1996.

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Klein, Howard. Controlled research. Regina, Sask: Research Centre, Saskatchewan School Trustees Association, 1990.

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Marasli, Elçin. Controlled denotations. Chicago, IL]: [publisher not identified], 2012.

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Continuous time controller design. London, U.K: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1989.

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Littell, Richard. Controlled wildlife. 2nd ed. Washington, D.C: Association of Systematics Collections, 1993.

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Embedded controller hardware design. Eagle Rock, VA: LLH Technology Publishing, 2001.

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Istepanian, Robert S. H., and James F. Whidborne, eds. Digital Controller Implementation and Fragility. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0265-6.

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W, Awdry. Thomas and the Green Controller. London: Egmont, 2010.

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Programmable logic controllers and their engineering applications. 2nd ed. London: McGraw-Hill, 1997.

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Programmable logic controllers and their engineering applications. London: McGraw-Hill, 1990.

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Book chapters on the topic "ANN CONTROLLER"

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Lal, Ratan, Aaron McKinnis, Dustin Hauptman, Shawn Keshmiri, and Pavithra Prabhakar. "Formally Verified Switching Logic for Recoverability of Aircraft Controller." In Computer Aided Verification, 566–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_27.

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AbstractIn this paper, we investigate the design of a safe hybrid controller for an aircraft that switches between a classical linear quadratic regulator (LQR) controller and a more intelligent artificial neural network (ANN) controller. Our objective is to switch safely between the controllers, such that the aircraft is always recoverable within a fixed amount of time while allowing the maximum time of operation for the ANN controller. There is a priori known safety zone for the LQR controller operation in which the aircraft never stalls, over accelerates, or exceeds maximum structural loading, and hence, by switching to the LQR controller just before exiting this zone, one can guarantee safety. However, this priori known safety zone is conservative, and therefore, limits the time of operation for the ANN controller. We apply reachability analysis to expand the known safety zone, such that the LQR controller will always be able to drive the aircraft back to the safe zone from the expanded zone (“recoverable zone") within a fixed duration. The “recoverable zone" extends the time of operation of the ANN controller. We perform simulations using the hybrid controller corresponding to the recoverable zone and observe that the design is indeed safe.
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Verma, Rishabh, and M. A. Ansari. "Fault Detection and Classification Using Fuzzy Logic Controller and ANN." In Micro-Electronics and Telecommunication Engineering, 25–35. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8721-1_3.

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Benítez-Read, Jorge S., Da Ruan, Jorge A. Ruiz-Enciso, Régulo López-Callejas, and Joel O. Pacheco-Sotelo. "Use of ANN in a Research Reactor Power Fuzzy Controller." In Computational Intelligence and Bioinspired Systems, 1132–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494669_139.

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Durgesh Kumar, Ankit Gupta, Rupendra Kumar Pachauri, and Yogesh K. Chauhan. "Performance Investigation of ANN Controller-Assisted Small Hydro Power Generation System." In Proceeding of International Conference on Intelligent Communication, Control and Devices, 871–77. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1708-7_102.

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Ruchira, Ram N. Patel, and Sanjay Kumar Sinha. "Comparison of ANN-Based MPPT Controller and Incremental Conductance for Photovoltaic System." In Lecture Notes in Electrical Engineering, 295–305. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8234-4_26.

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Liu, Shuguang, and Mingyuan Liu. "A Parameters Self-adjusting ANN-PI Controller Based on Homotopy BP Algorithm." In Advances in Soft Computing, 587–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01216-7_62.

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Charan, Godavarthi, Dasa Sampath, K. Sandeep Rao, and Y. V. Pavan Kumar. "ANN-Based Self-Tuned PID Controller for Temperature Control of Heat Exchanger." In Advances in Intelligent Systems and Computing, 149–61. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1543-6_14.

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Crelinsten, Ronald. "When controlled becomes controller." In Terrorism, Democracy, and Human Security, 212–30. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Political violence: Routledge, 2021. http://dx.doi.org/10.4324/9781003016816-9.

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Mohan Murali Krishna, C. H., R. S. Ravi Sankar, Madisa V. G. Varaprasad, and K. K. Deepika. "A Novel Converter for Bidirectional Power Flow in Hybrid Electric Vehicle Systems Using ANN Controller." In Sustainable Technology and Advanced Computing in Electrical Engineering, 245–65. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4364-5_20.

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Bouchetob, Elaid, and Bouchra Nadji. "Choosing the Adapted Artificial Intelligence Method (ANN and ANFIS) Based MPPT Controller for Thin Layer PV Array." In Lecture Notes in Networks and Systems, 322–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21216-1_35.

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Conference papers on the topic "ANN CONTROLLER"

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Raghoji, Dattatraya, and M. S. Aspalli. "Resonant LED Driver with ANN Controller." In 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon). IEEE, 2022. http://dx.doi.org/10.1109/nkcon56289.2022.10126705.

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Jijith, Roy V., and S. Indulal. "Hybrid Electric Three-Wheeler with ANN Controller." In 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET). IEEE, 2018. http://dx.doi.org/10.1109/iccsdet.2018.8821161.

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Kumari, K., G. Shankar, S. Kumari, and S. Gupta. "Load frequency control using ANN-PID controller." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853516.

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Hamoodi, Safwan A., Ibrahim I. Sheet, and Rasha A. Mohammed. "A Comparison between PID controller and ANN controller for speed control of DC Motor." In 2019 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering (ICECCPCE). IEEE, 2019. http://dx.doi.org/10.1109/iceccpce46549.2019.203777.

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Upadhyay, D., N. Tarun, and T. Nayak. "ANN based intelligent controller for inverted pendulum system." In 2013 Students Conference on Engineering and Systems (SCES). IEEE, 2013. http://dx.doi.org/10.1109/sces.2013.6547526.

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Paul, S. "Comparison of MPPT using GA-optimized ANN employing PI controller with GA-optimized ANN employing fuzzy controller for PV system." In IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/ic.2013.0324.

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Liao, Kai, Yan Xu, Koh Leong Hai, and Yichen Qiao. "An ANN based damping controller for VSC-HVDC System." In 2017 Asian Conference on Energy, Power and Transportation Electrification (ACEPT). IEEE, 2017. http://dx.doi.org/10.1109/acept.2017.8168584.

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Jianhua Yang, Wei Lu, Wenqi Liu, and Linlin Teng. "Application of ANN PID Controller in District Heating System." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1714383.

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Shan Xue, Huilin Fan, and Hongji Xu. "Study on ann-based intelligent self-tuning PID controller." In 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246587.

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Guiti, M., and A. Nait Seghir. "Direct Torque Control with ANN hysteresis controller for PMSM." In 2015 4th International Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/intee.2015.7416764.

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Reports on the topic "ANN CONTROLLER"

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Petitt, Rodger A., Elizabeth S. Redden, and Christian B. Carstens. Scalability of Robotic Controllers: An Evaluation of Controller Options. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada481702.

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Pettitt, Rodger A., Elizabeth S. Redden, Nicholas Fung, Christian B. Carstens, and David Baran. Scalability of Robotic Controllers: An Evaluation of Controller Options-Experiment II. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada553617.

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Pettitt, Rodger A., Christian B. Carstens, and Elizabeth S. Redden. Scalability of Robotic Controllers: An Evaluation of Controller Options-Experiment III. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada560822.

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Howland. GRI-04-0066 Functional Specifications - Advanced Controls for Two-Stroke Cycle Stationary Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2013. http://dx.doi.org/10.55274/r0011051.

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A functional specification was developed for new digital control algorithms to replace methods traditionally controlled by pneumatic controllers. The specification includes input/output requirements and details on control methods.
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Ramasubramanian, Deepak, Jens Boemer, Evangelos Farantatos, Anish Gaikwad, Pouyan Pourbeik, and P. Zadkhast. PROPOSAL FOR NEW PLANT CONTROLLER AND ELECTRICAL CONTROLLER. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1889203.

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Robino, C. V., G. Knorovsky, R. C. Dykhuizen, D. O. MacCallum, and B. K. Damkroger. Transformation kinetics in controlled-power and controlled-temperature cycle testing. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/672114.

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Klosek, Katherine. Controlled Digital Lending. Association of Research Libraries, June 2022. http://dx.doi.org/10.29242/report.controlleddigitallending2022.

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This paper discusses ARL’s position on controlled digital lending of library materials and lays out considerations that may support research libraries in crafting their use case and preparing for a fair-use analysis. The paper also reflects a discussion of digital-lending practices, concerns, and opportunities held by the ARL Advocacy and Public Policy Committee and guests during the October 2021 Fall Association Meeting. That discussion, and subsequent conversations around an earlier version of this paper, informed ARL’s position on digital lending.
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Bacon and Olsen. PR-179-13202-R01 Field Evaluation of a Continental Controls Corp. NSCR NOx Sensor Control System. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2014. http://dx.doi.org/10.55274/r0010203.

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Emissions compliance of stationary engines can be successful with the application of a non-selective catalytic reduction (NSCR) after treatment system. To accomplish this, the equivalence ratio (?) must be precisely controlled within a narrow range near stoichiometric conditions. The ability for Air Fuel Ratio (AFR) control systems to maintain the engine equivalence ratio in the required narrow operating range long term under field conditions has not been established. This project builds upon prior work at the Colorado State University (CSU) Engines and Energy Conversion Laboratory (EECL) to develop a NOx sensor minimization control algorithm utilizing an AFR controller manufactured by Continental Controls Corporation. Testing was performed on a Waukesha VGF-series L36GSI engine utilized for power generation.
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Yadrick, Robert M., J. W. Regian, Catherine C. Gomez, and Linda Robertson-Schule. Individual and Cooperative Group Learning with User-Controlled and Program-Controlled Mathematics Tutors. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada303591.

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Masset, Edoardo. Combining economic modelling and randomised controlled trials: An unexploited synergyCombining economic modelling and randomised controlled trials: An unexploited synergy. Edited by Radhika Menon. Centre of Excellence for Development Impact and Learning (CEDIL), 2021. http://dx.doi.org/10.51744/cmb3.

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Over the last decade, many researchers have conducted randomised trials alongside economic models. The work of these researchers has shown that both approaches are strengthened by their combined use and the conclusions they lead to are full of policy implications. In the latest CEDIL Methods Brief, Edoardo Masset, Research Director, CEDIL Programme, uses three examples to offer tips on the application of modelling to evaluate development interventions and explore various policy questions. The brief shows that models and experiments should be seen as complementary, rather than as alternative approaches. This brief is based on the CEDIL Inception Paper No. 9, Structural Modelling in Policy Making, by Orazio Attanasio and Debbie Blair. This paper is available on the CEDIL website.
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