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Dissertations / Theses on the topic 'Artificial intelligence-based control'

Author: Grafiati

Published: 8 September 2021

Last updated: 5 February 2022

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1

黎浩然 and Ho-yin Albert Lai. "Artificial intelligence based thermal comfort control with CFD modelling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B3122278X.

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2

Lai, Ho-yin Albert. "Artificial intelligence based thermal comfort control with CFD modelling /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21929555.

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3

Xiang, Yusheng, and Marcus Geimer. "Optimization of operation strategy for primary torque based hydrostatics drivetrain using artificial intelligence." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71073.

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A new primary torque control concept for hydrostatics mobile machines was introduced in 2018 [1]. The mentioned concept controls the pressure in a closed circuit by changing the angle of the hydraulic pump to achieve the desired pressure based on a feedback system. Thanks to this concept, a series of advantages are expected [2]. However, while working in a Y cycle, the primary torque controlled wheel loader has worse performance in efficiency compared to secondary controlled earthmover due to lack of recuperation ability. Alternatively, we use deep learning algorithms to improve machines’ rege

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4

Sanchez, Edinzo J. Iglesias. "Using fuzzy logic to enhance control performance of sliding mode control and dynamic matrix control." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001497.

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5

Schade, Markus. "Using Case-based Reasoning to Control Traffic Consumption." Master's thesis, Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200701572.

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Quality of service is commonly used to shape network traffic to meet specified criteria. The various scenarios include limiting and reserving bandwidth for a particular application, host or user, prioritizing latency sensitive traffic or equal distribution of unreserved bandwidth. The DynShaper software distributes and controls a traffic quota by more sophisticated means than fixed per user limits and simple disconnection after the user reaches the limit. It distributes the quota on a daily basis, where each day receives the same share. The users are sorted into predefined groups with differe

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6

Cheng, Yongqiang. "Wireless mosaic eyes based robot path planning and control : autonomous robot navigation using environment intelligence with distributed vision sensors." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4421.

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As an attempt to steer away from developing an autonomous robot with complex centralised intelligence, this thesis proposes an intelligent environment infrastructure where intelligences are distributed in the environment through collaborative vision sensors mounted in a physical architecture, forming a wireless sensor network, to enable the navigation of unintelligent robots within that physical architecture. The aim is to avoid the bottleneck of centralised robot intelligence that hinders the application and exploitation of autonomous robot. A bio-mimetic snake algorithm is proposed to coordi

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7

Gandharva, Kumar. "Study of Effect of Coverage and Purity on Quality of Learned Rules." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428048034.

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8

Boyle, Jean-Marc. "Knowledge-based techniques for multivariable control system design." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329990.

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9

Woolley, Brian G. "Novelty-Assisted Interactive Evolution of Control Behaviors." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5579.

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The field of evolutionary computation is inspired by the achievements of natural evolution, in which there is no final objective. Yet the pursuit of objectives is ubiquitous in simulated evolution because evolutionary algorithms that can consistently achieve established benchmarks are lauded as successful, thus reinforcing this paradigm. A significant problem is that such objective approaches assume that intermediate stepping stones will increasingly resemble the final objective when in fact they often do not. The consequence is that while solutions may exist, searching for such objectives m

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10

Grant, Edward. "The knowledge-based control of robot workcells and dynamic systems." Thesis, University of Strathclyde, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367042.

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11

Becker, Brian C. "Vision-Based Control of a Handheld Micromanipulator for Robot-Assisted Retinal Surgery." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/203.

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Surgeons increasingly need to perform complex operations on extremely small anatomy. Many existing and promising new surgeries are effective, but difficult or impossible to perform because humans lack the extraordinary control required at sub-millimeter scales. Using micromanipulators, surgeons gain higher positioning accuracy and additional dexterity as the instrument removes tremor and scales hand motions. While these aids are advantageous, they do not actively consider the goals or intentions of the operator and thus cannot provide context-specific behaviors, such as motion scaling around a

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12

Pebody, Miles. "Autonomy in the real real-world : a behaviour based view of autonomous systems control in an industrial product inspection system." Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266321.

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13

Chen, Min-You. "Integrated knowledge-based intelligent control systems : principles, methodologies and practice." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284762.

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14

Wong, Wing-ki Vicky. "An immunity-based distributed multiagent control framework." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37314348.

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15

Wong, Wing-ki Vicky, and 黃穎琪. "An immunity-based distributed multiagent control framework." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37314348.

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16

Hong, Min. "Implicit constraint enforcement to control the physically-based biomedical simulation /." Connect to full text via ProQuest. IP filtered, 2005.

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17

Xu, Peng. "A Learning based Adaptive Cruise and Lane Control System." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1530242159705226.

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18

Taylor, Graham. "Reinforcement Learning for Parameter Control of Image-Based Applications." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/832.

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The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. In this thesis, we examine a particular area in which these difficulties are experienced. We attempt to control the parameters of a multi-step algorithm that processes visual information. A framework for approaching the parameter selection problem using reinforcement learning agents is presented as the main contribution of this research. We focus on the generation

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19

Jordaan, Edzard Adolf Biermann. "Intelligent elevator control based on adaptive learning and optimisation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95999.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Machine learning techniques have been around for a few decades now and are being established as a pre-dominant feature in most control applications. Elevators create a unique control application where traffic flow is controlled and directed according to certain control philosophies. Machine learning techniques can be implemented to predict and control every possible traffic flow scenario and deliver the best possible solution. Various techniques will be implemented in the elevator application in an attempt to establish a

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20

Park, Jung Wook. "Adaptive/optimal neurocontrol based on adaptive critic designs for synchronous generators and facts devices in power systems using artificial neural networks." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/13872.

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21

Elahi, Behin. "Integrated Optimization Models and Strategies for Green Supply Chain Planning." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1467266039.

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22

Loffreno, Michele. "Computer Vision and Machine Learning for a Spoon-feeding Robot : A prototype solution based on ABB YuMi and an Intel RealSense camera." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-182503.

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A lot of people worldwide are affected by limitations and disabilities that make it hard to do even essential actions and everyday tasks, such as eating. The impact of robotics on the lives of elder people or people having any kind of inability, which makes it hard everyday actions as to eat, was considered. The aim of this thesis is to study the implementation of a robotic system in order to achieve an automatic feeding process. Different kinds of robots and solutions were taken into account, for instance, the Obi and the prototype realized by the Washington University. The system considered

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23

Mahdi, Ghulam. "Level of Detail in Agent Societies in Games." Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20002/document.

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Aujourd'hui, l'intelligence artificielle (IA) est une composante essentielle d'un jeu vidéo et de plus en plus d'efforts sont portés sur cet aspect afin de rendre les jeux plus ludiques et plus immersifs. Cette amélioration va cependant de pair avec une augmentation sans cesse croissante des ressources informatiques nécessaires au fonctionnement de l'IA. De fait, il arrive que ces besoins soient si importants qu'ils dégradent le taux de rafraîchissement (TR) du jeu et ainsi la qualité d'expérience (QoE) du joueur. Dans ce contexte, notre objectif est de de maintenir le TR au dessus d'un certai

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24

Kim, Sunuk. "Schedule-based material requirements planning : an artificial intelligence approach." Thesis, 1990. http://hdl.handle.net/1957/37518.

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The objective of this research project was to identify the limitations associated with schedule-based Material Requirements Planning (SBMRP) and to present a knowledge-based expert system (KBES) approach to solve these problems. In SBMRP, the basic strategy is to use backward or forward scheduling based on an arbitrary dispatching rule, such as First-In First-Out. One of the SBMRP weak points is that it does not use such job information as slack times, due dates, and processing times, information which otherwise is important to good scheduling decisions. In addition, the backward scheduling me

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25

Shao, I., and 邵亦. "Prevent Distributed Denial of Service Attacks Based on Statistical and Artificial Intelligence Control Network Traffic." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/14474711134139612533.

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碩士<br>中國文化大學<br>資訊安全產業研發碩士專班<br>100<br>The research proposes monitoring network traffic based on prevent malicious attacks. It uses statistical theory and fuzzy control architecture for a single transmission behavior. It will establish a normal transmission behavior module in order to achieve network monitoring and alert mechanism. The mechanism tries to improve abnormal behavior detection rate. The study is divided into three parts. The first study is using tools to simulate detection and aggressive behavior. According to many defensive measure reports, we will build a detection mechanism

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26

Hsu, Shuen-Jan, and 許舜然. "Artificial Intelligence based Rotor Resistance and Speed Estimation in Speed-Sensorless Control of Induction Motor." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/15869271042286619140.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>104<br>The performance of sensorless control of induction motors (IMs) is dramat- ically affected by the variation of parameters such as rotor resistance especially at low speeds and heavy loads. A novel hybrid artificial neural network (HANN), including a cerebellar model adaptive controller (CMAC) and an adaptive linear element (ADALINE), is developed in this thesis to estimate the rotor resistance and the motor speed simultaneously. On the other hand, a self-tuning PI-type fuzzy logic controller (FLC) is used to achieve motor speed control based on the speed estim

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27

Correia, Ana Raquel Mendonça de Sá. "Functional electrical stimulation for gait rehabilitation." Master's thesis, 2018. http://hdl.handle.net/1822/62040.

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Dissertação de mestrado integrado em Industrial Eletronics and Computers<br>Conditions that can lead to a full or partial motor function loss, such as stroke or multiple sclerosis, leave people with disabilities that may interfere severely with lower body movements, such as gait. Drop Foot (DF) is a gait disorder that results in a reduced ability or total inability to contract the Tibialis Anterior (TA) muscle, causing an inability to raise the foot during gait. One of the most effective methods to correct DF is Functional Electrical Stimulation (FES). FES is a technique used to reproduce

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28

Wesley, Leonard Palmer. "Evidential-based control in knowledge-based systems." 1988. https://scholarworks.umass.edu/dissertations/AAI8813286.

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Knowledge-Based Systems (KBSs) that operate in the real-world must reason about their actions from information that is inherently uncertain, imprecise, and occasionally incorrect. Consequently, control-related information can be viewed as imperfect evidence that can potentially support or refute hypotheses about which actions are the most appropriate to pursue. Moreover, previous research has not thoroughly exploited the fact that knowledge about the degree to which evidence is certain, precise, and correct can significantly influence the choice of any alternative. It follows that the ability

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29

Rajendran, Srividhya. "Autonomous abstraction of policies based on policy homomorphism." 2009. http://hdl.handle.net/10106/1905.

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30

"A control scheme based on decomposition to primitive behaviors and a reinforcement learning technique." Tulane University, 2000.

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The control of actions for a dynamic non-linear system is a very difficult task to achieve, because is practically impossible to describe in a mathematical model all the physical characteristics and dynamics for the own system, and the characteristics and dynamics of the external environment that affect the performance of such system Autonomous robotic navigation is defined as the task of finding a path along which a robot can move safely from a source point to a destination point in an obstacle filled environment, and at the same time execute the actions to carry out the commands in a real or

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31

Nagabhushana, B. S. "Intelligent Systems Based Identification And Control Of SSR In Series Compensated Systems." Thesis, 1997. http://etd.iisc.ernet.in/handle/2005/1816.

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32

Magee, Kevin Nowell. "A vision-based fuzzy logic and neural network approach to the control of hyper-redundant robot manipulators." Thesis, 1994. http://hdl.handle.net/1911/16755.

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Hyper-redundant robot manipulators possess a very large degree of kinematic redundancy and are capable of motion similar to that of snakes and elephant trunks. Because of the computational burden required to calculate the pseudo-inverse of the manipulator Jacobian matrix for high degree of freedom robots, hyper-redundant manipulators have proven challenging to control by traditional methods. Additionally, control can be further complicated because the large number of joints and links in a hyper-redundant arm can be a source of measurement error in real-world systems. A fuzzy logic and neural n

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33

Lockett, Alan Justin. "General-purpose optimization through information maximization." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-05-5459.

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The primary goal of artificial intelligence research is to develop a machine capable of learning to solve disparate real-world tasks autonomously, without relying on specialized problem-specific inputs. This dissertation suggests that such machines are realistic: If No Free Lunch theorems were to apply to all real-world problems, then the world would be utterly unpredictable. In response, the dissertation proposes the information-maximization principle, which claims that the optimal optimization methods make the best use of the information available to them. This principle results in

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34

Bearden, Lukas R. "An Automated Grid-Based Robotic Alignment System for Pick and Place Applications." Thesis, 2013. http://hdl.handle.net/1805/4436.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>This thesis proposes an automated grid-based alignment system utilizing lasers and an array of light-detecting photodiodes. The intent is to create an inexpensive and scalable alignment system for pick-and-place robotic systems. The system utilizes the transformation matrix, geometry, and trigonometry to determine the movements to align the robot with a grid-based array of photodiodes. The alignment system consists of a sending unit utilizing lasers, a receiving module consisting of photodiodes, a data acquisition unit, a computer-b

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35

(5929832), Ikbeom Jang. "Diffusion Tensor Imaging Analysis for Subconcussive Trauma in Football and Convolutional Neural Network-Based Image Quality Control That Does Not Require a Big Dataset." Thesis, 2019.

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Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI)-based technique that has frequently been used for the identification of brain biomarkers of neurodevelopmental and neurodegenerative disorders because of its ability to assess the structural organization of brain tissue. In this work, I present (1) preclinical findings of a longitudinal DTI study that investigated asymptomatic high school football athletes who experienced repetitive head impact and (2) an automated pipeline for assessing the quality of DTI images that uses a convolutional neural network (CNN) and transfer lea

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