Dissertations / Theses: 'Intelligent control systems'

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Ravindranathan, Mohan Das K. "Heterogeneous intelligent control systems." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/736.

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GHAFFARI, MASOUD. "PERCEPTION-BASED CONTROL FOR INTELLIGENT SYSTEMS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155739459.

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3

Hu, Yuebing, and 胡跃冰. "Consensus control of multi-agent systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658657X.

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4

Houghton, Michael. "A transputer network for intelligent control systems." Thesis, University of Liverpool, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321150.

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5

Teltz, Richard W. "Open architecture control for intelligent machining systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0006/NQ42883.pdf.

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Abdullah, Rudwan Ali Abolgasim. "Intelligent methods for complex systems control engineering." Thesis, University of Stirling, 2007. http://hdl.handle.net/1893/257.

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This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) complex systems. The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, or a PID structure based (simultaneous) Pole and Zero Placement controller. The switching decisions between the two nonlinear fixed structure controllers is made on the basis of the required performance measure using the fuzzy logic based supervisor operating at the highest level of the system. The fuzzy supervisor is also employed to tune the parameters of the multiple-controller online in order to achieve the desired system performance. The GLM for modelling complex systems assumes that the plant is represented by an equivalent model consisting of a linear time-varying sub-model plus a learning nonlinear sub-model based on Radial Basis Function (RBF) neural network. The proposed control design brings together the dominant advantages of PID controllers (such as simplicity in structure and implementation) and the desirable attributes of Pole and Zero Placement controllers (such as stable set-point tracking and ease of parameters’ tuning). Simulation experiments using real-world nonlinear SISO and MIMO plant models, including realistic nonlinear vehicle models, demonstrate the effectiveness of the intelligent multiple-controller with respect to tracking set-point changes, achieve desired speed of response, prevent system output overshooting and maintain minimum variance input and output signals, whilst penalising excessive control actions.

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Van, Dam Catharina Johanna Henrica. "Intelligent control of radio communication system." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299184.

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Su, Jiancheng. "Component-based Intelligent Control Architecture for Reconfigurable Manufacturing Systems." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29980.

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The present dynamic manufacturing environment has been characterized by a greater variety of products, shorter life-cycles of products and rapid introduction of new technologies, etc. Recently, a new manufacturing paradigm, i.e. Reconfigurable Manufacturing Systems (RMS), has emerged to address such challenging issues. RMSs are able to adapt themselves to new business conditions timely and economically with a modular design of hardware/software system. Although a lot of research has been conducted in areas related to RMS, very few studies on system-level control for RMS have been reported in literature. However, the rigidity of current manufacturing systems is mainly from their monolithic design of control systems. Some new developments in Information Technology (IT) bring new opportunities to overcome the inflexibility that shadowed control systems for years. Component-based software development gains its popularity in 1990â s. However, some well-known drawbacks, such as complexity and poor real-time features counteract its advantages in developing reconfigurable control system. New emerging Extensible Markup Language (XML) and Web Services, which are based on non-proprietary format, can eliminate the interoperability problems that traditional software technologies are incompetent to accomplish. Another new development in IT that affects the manufacturing sector is the advent of agent technology. The characteristics of agent-based systems include autonomous, cooperative, extendible nature that can be advantageous in different shop floor activities. This dissertation presents an innovative control architecture, entitled Component-based Intelligent Control Architecture (CICA), designed for system-level control of RMS. Software components and open-standard integration technologies together are able to provide a reconfigurable software structure, whereas agent-based paradigm can add the reconfigurability into the control logic of CICA. Since an agent-based system cannot guarantee the best global performance, agents in the reference architecture are used to be exception handlers. Some widely neglected problems associated with agent-based system such as communication load and local interest conflicts are also studied. The experimental results reveal the advantage of new agent-based decision making system over the existing methodologies. The proposed control system provides the reconfigurability that lacks in current manufacturing control systems. The CICA control architecture is promising to bring the flexibility in manufacturing systems based on experimental tests performed.
Ph. D.

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Wong, Kwok Wai Johnny. "Development of selection evaluation and system intelligence analytic models for the intelligent building control systems." Thesis, The Hong Kong Polytechnic University, 2007. https://eprints.qut.edu.au/20343/1/c20343.pdf.

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With the availability of innumerable ‘intelligent’ building products and the dearth of inclusive evaluation tools, design teams are confronted with the quandary of choosing the apposite building control systems to suit the needs of a particular intelligent building project. The paucity of measures that represent the degree of system intelligence and indicate the desirable goal in intelligent building control systems design further inhibits the consumers from comparing numerous products from the viewpoint of intelligence. This thesis is organised respectively to develop models for facilitating the selection evaluation and the system intelligence analysis for the seven predominant building control systems in the intelligent building. To achieve these objectives, systematic research activities are conducted to first develop, test and refine the general conceptual models using consecutive surveys; then, to convert the developed conceptual frameworks to the practical models; and, finally, to evaluate the effectiveness of the practical models by means of expert validations.----- The findings of this study, on one hand, suggest that there are different sets of critical selection criteria (CSC) affecting the selection decision of the intelligent building control systems. Service life, and operating and maintenance costs are perceived as two common CSC. The survey results generally reflect that an ‘intelligent’ building control system does not necessarily need to be technologically advanced. Instead, it should be the one that can ensure efficiency and enhance user comfort and cost effectiveness. On the other hand, the findings of the research on system intelligence suggest that each building control system has a distinctive set of intelligence attributes and indicators. The research findings also indicate that operational benefits of the intelligent building exert a considerable degree of influence on the relative importance of intelligence indicators of the building control systems in the models. This research not only presents a systematic and structured approach to evaluate candidate building control systems against the CSC, but it also suggests a benchmark to measure the degree of intelligence of one control system candidate against another.

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Rufus, Freeman Jr. "Intelligent approaches to mode transition control." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13281.

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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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Li, Li Wang Fei-Yue. "Advanced motion control and sensing for intelligent vehicles." New York : Springer, 2007. http://www.myilibrary.com?id=113830.

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Almejalli, Khaled A., Keshav P. Dahal, and M. Alamgir Hossain. "Intelligent traffic control decision support system." Springer-Verlag, 2007. http://hdl.handle.net/10454/2554.

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When non-recurrent road traffic congestion happens, the operator of the traffic control centre has to select the most appropriate traffic control measure or combination of measures in a short time to manage the traffic network. This is a complex task, which requires expert knowledge, much experience and fast reaction. There are a large number of factors related to a traffic state as well as a large number of possible control measures that need to be considered during the decision making process. The identification of suitable control measures for a given non-recurrent traffic congestion can be tough even for experienced operators. Therefore, simulation models are used in many cases. However, simulating different traffic scenarios for a number of control measures in a complicated situation is very time-consuming. In this paper we propose an intelligent traffic control decision support system (ITC-DSS) to assist the human operator of the traffic control centre to manage online the current traffic state. The proposed system combines three soft-computing approaches, namely fuzzy logic, neural network, and genetic algorithm. These approaches form a fuzzy-neural network tool with self-organization algorithm for initializing the membership functions, a GA algorithm for identifying fuzzy rules, and the back-propagation neural network algorithm for fine tuning the system parameters. The proposed system has been tested for a case-study of a small section of the ring-road around Riyadh city. The results obtained for the case study are promising and show that the proposed approach can provide an effective support for online traffic control.

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Kang, Hoon. "Intelligent/adaptive control strategies for robot manipulators." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/13882.

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Sun, Jie. "Modelling and intelligent control of vehicle climatronic systems." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1118.

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The modelling and control method of a vehicle climatronic system, based on MATLAB/SIMULINK, is presented. In order to achieve high modelling accuracy, a developed simulation model library is introduced. The modelling approach is described and the developed models are validated with some of experimental data obtained. The models are nonlinear, independent of fluid type and based on thermo-dynamic principles. Analysis of the cooling circuit modelling and empirical real-time control models are created by using Fuzzy logic controller and Stateflow. Both of control input and output are implemented essentially at original vehicle CAN-Bus system. Feasible digital automatic control strategy basic to fuzzy theory, hardware and software solution are given. The simulation experiment is achieved with the Hardware-in-Loop technology. This control methodology is easily operated and worth applying for any further studies or methods.

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Le, Ahn Tuan. "Intelligent Control of Vehicle-Based Internal Transport Systems." [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Rotterdam : Erasmus University Rotterdam [Host], 2005. http://hdl.handle.net/1765/6554.

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Abbod, Maysam Fadhel. "Supervisory intelligent control for industrial and medical systems." Thesis, University of Sheffield, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295758.

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Khalil, Eiad. "Intelligent planning and control of multi-assembly systems." Thesis, Sheffield Hallam University, 2008. http://shura.shu.ac.uk/19909/.

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The global trend towards cost minimisation in manufacturing has intensified during the last two decades. Cost reduction can be achieved either, directly, through elimination of waste, or indirectly, through optimisation of production processes and generating more reliable information regarding the costs incurred. The research presented in this thesis considers cost reduction in three aspects: optimisation of production processes, accurate cost estimation and accounting. Due to the increasing number of combinatorial optimisation problems associated with the production of Printed Circuit Boards (PCB), it has attracted the attention of many researchers who tried to solve these problems with the aim of minimising the production cost. Therefore, PCB production is used in this research as a test-bed for the three aspects mentioned above. Regarding cost reduction in PCB manufacturing, three interrelated combinatorial optimisation problems are considered: the component placement sequencing problem, the feeder assignment problem and the board type sequencing problem. Solving these problems ensures cost reduction by reducing the time required for manufacturing PCBs. As for cost reduction in the costing and accounting aspects, the traditional standard costing and standard accounting have some problems that make them unsuitable for today's manufacturing. Standard costing allocates overhead to labour or machine hours, which leads to a distortion of product costs due to the fact that today's manufacturing relies more on technology and less on human power. As for standard accounting, it has some features and characteristics that contradict with the widely spread lean manufacturing. The deficiencies in standard costing and standard accounting may create more waste and lead to the wrong decisions being taken. A framework is developed to provide solution to the above-mentioned problems in an integrated environment. A mathematical formulation for the three PCB manufacturing-related problems is developed and solved using a metaheuristic-based algorithm. In order to deal with the costing and accounting part of the framework developed, Activity Based-Costing (ABC) and Lean Accounting (LA) are implemented on a PCB manufacturing facility using a case study. ABC is used to estimate the costs of manufacturing PCBs and provide detailed information on how the costs are incurred. As for LA, it is used to reduce the costs associated with the accounting system, which is achieved by eliminating and/or replacing accounting transactions and promoting lean measures. Simulation results obtained show an average reduction in total assembly time of 5.96% and 5.43% when Taboo Search (TS) and Genetic Algorithms (GA) metaheuristics are used respectively. The results also show how ABC can be used to identify the activities used in PCB manufacturing and calculate their costs. By targeting the most costly activities identified by ABC, the production costs can be reduced. Regarding LA, the results indicate how the accounting system costs can be reduced by eliminating some accounting transactions and processes or replacing them with less costly alternatives.

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Lei, Jia. "Control, optimization and simulation of intelligent transportation systems /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486398528555702.

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Ali, Shaaban Aerospace Civil &amp Mechanical Engineering Australian Defence Force Academy UNSW. "Intelligent adaptive control for nonlinear applications." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/39185.

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The thesis deals with the design and implementation of an Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). The application of UAVs has been increasing exponentially in the last decade both in Military and Civilian fronts. These UAVs fly at very low speeds and Reynolds numbers, have nonlinear coupling, and tend to exhibit time varying characteristics. In addition, due to the variety of missions, they fly in uncertain environments exposing themselves to unpredictable external disturbances. The successful completion of the UAV missions is largely dependent on the accuracy of the control provided by the flight controllers. Thus there is a necessity for accurate and robust flight controllers. These controllers should be able to adapt to the changes in the dynamics due to internal and external changes. From the available literature, it is known that, one of the better suited adaptive controllers is the model based controller. The design and implementation of model based adaptive controller is discussed in the thesis. A critical issue in the design and application of model based control is the online identification of the UAV dynamics from the available sensors using the onboard processing capability. For this, proper instrumentation in terms of sensors and avionics for two platforms developed at UNSW@ADFA is discussed. Using the flight data from the remotely flown platforms, state space identification and fuzzy identification are developed to mimic the UAV dynamics. Real time validations using Hardware in Loop (HIL) simulations show that both the methods are feasible for control. A finer comparison showed that the accuracy of identification using fuzzy systems is better than the state space technique. The flight tests with real time online identification confirmed the feasibility of fuzzy identification for intelligent control. Hence two adaptive controllers based on the fuzzy identification are developed. The first adaptive controller is a hybrid indirect adaptive controller that utilises the model sensitivity in addition to output error for adaptation. The feedback of the model sensitivity function to adapt the parameters of the controller is shown to have beneficial effects, both in terms of convergence and accuracy. HIL simulations applied to the control of roll stabilised pitch autopilot for a typical UAV demonstrate the improvements compared to the direct adaptive controller. Next a novel fuzzy model based inversion controller is presented. The analytical approximate inversion proposed in this thesis does not increase the computational effort. The comparisons of this controller with other controller for a benchmark problem are presented using numerical simulations. The results bring out the superiority of this technique over other techniques. The extension of the analytical inversion based controller for multiple input multiple output problem is presented for the design of roll stabilised pitch autopilot for a UAV. The results of the HIL simulations are discussed for a typical UAV. Finally, flight test results for angle of attack control of one of the UAV platforms at UNSW@ADFA are presented. The flight test results show that the adaptive controller is capable of controlling the UAV suitably in a real environment, demonstrating its robustness characteristics.

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Zhang, Yaoen Lan. "An integrated intelligent shop control system." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/52095.

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Presently there is a trend in manufacturing system design from stand-alone, automatic operations to Computer Integrated Manufacturing (CIM). The success of the integration depends largely on the performance of system control software. This document presents research in the design and implementation of a shop control system, for a CIM facility, using a new method called the three-layer integrated approach. Two basic techniques used in this research are expert systems and object-oriented programming. The CIM system at VPI is an automated manufacturing and assembly system. In designing the control system for this CIM facility, the design of products, production facilities, and overall system must be taken into account. In order to manage this complex system, a control system called the “shop controller” has been developed using C++, an object-oriented programming language. In addition, three real-time simulators for the cell controllers have been developed for testing and debugging the production rules of the expert system. The basic approach taken for the shop control system has several advantages: applied intelligence, program efficiency, reusability of code, and ease of maintenance. Moreover, this approach has a new feature—modularity, which is the result of combining expert systems and object-oriented programming.
Master of Science

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Van, Niekerk Theo. "Monitoring a diagnosis for control of an intelligent machining process." Thesis, Port Elizabeth Technikon, 2001. http://hdl.handle.net/10948/70.

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A multi-level modular control scheme to realize integrated process monitoring, diagnosis and control for intelligent machining is proposed and implemented. PC-based hardware architecture to manipulate machining process cutting parameters, using a PMAC interface card as well as sensing processes performance parameters through sampling, and processing by means of DSP interface cards is presented. Controller hardware, to interface the PC-based PMAC interface card to a machining process for the direct control of speed, feed and depth of cut, is described. Sensors to directly measure on-line process performance parameters, including cutting forces, cutting sound, tool-workpiece vibration, cutting temperature and spindle current are described. The indirect measurement of performance parameter surface roughness and tool wear monitoring, through the use of NF sensor fusion modeling, is described and verified. An object based software architecture, with corresponding user interfaces (using Microsoft Visual C++ Foundation Classes and implemented C++ classes for sending motion control commands to the PMAC and receiving processed on-line sensor data from the DSP) is explained. The software structure indicates all the components necessary for integrating the monitoring, diagnosis and control scheme. C-based software code executed on the DSP for real-time sampling, filtering and FFT processing of sensor signals, is explained. Making use of experimental data and regression analysis, analytical relationships between cutting parameters (independent) and each of the performance parameters (dependent) are obtained and used to simulate the machining process. A fuzzy relation that contains values determined from statistical data (indicating the strength of connection between the independent and dependent variables) is proposed. The fuzzy relation forms the basis of a diagnostic scheme that is able to intelligently determine which independent variable to change when a machining performance parameter exceeds control limits. The intelligent diagnosis scheme is extensively tested using the machining process simulation.

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Holmes, Violeta. "Design of an intelligent distributed computer control system." Thesis, University of Huddersfield, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359150.

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Jung, Ju-Hwan. "Intelligent systems for strategic power infrastructure defense /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5971.

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Backory, Jay K. "Intelligent monitoring, modelling and decision support in anaesthesia." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301427.

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Zaiuddin, Syed Muhammad. "Intelligent control schemes for single and multiple arm robotic systems." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319447.

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Chu, Rose Wan-Mui. "Towards the tutor/aid paradigm: design of intelligent tutoring systems for operations of supervisory control systems." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/25485.

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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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Farag, Wael. "Synthesis of intelligent hybrid systems for modeling and control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0013/NQ30606.pdf.

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Taylor, Philip Charles. "Distributed intelligent load control of autonomous renewable energy systems." Thesis, University of Manchester, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550559.

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A number of load control techniques and technologies have already been developed for autonomous power systems but no single technique has been widely adopted. Many of these load control systems have been partially successful but have suffered from a number of limitations that were addressed as part of this project. This thesis describes the development of distributed intelligent load controllers designed to address the limitations of previous load control solutions. A self-tuning fuzzy controller was developed to improve the power quality and efficiency of autonomous renewable energy systems. A laboratory wind-diesel test rig was developed to aid the design and testing of the load controller hardware and software. Computer models of wind powered and wind-diesel powered networks were produced to enable the design and testing of distributed fuzzy load control algorithms. The load controllers were tested throughout the development process on four autonomous renewable energy systems: - A single phase 25kVA run of river micro-hydro system in Scotland - A wind only system in the UK, with a 60kW stall regulated wind turbine fitted with a synchronous generator - A 30kW micro-hydro system on the island of Rum in Scotland - A 93kW wind-diesel system at the Rutherford Appleton Laboratories in the UK which used a 45kW stall regulated wind turbine fitted with an induction generator. The site results were promising and showed that distributed intelligent load control is an effective technique for controlling autonomous renewable energy systems.

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Fraser, Robert James C. "Embedded command and control infrastructures for intelligent autonomous systems." Thesis, University of Southampton, 1994. https://eprints.soton.ac.uk/250158/.

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The issue of Command and Control (C2) is generally associated with the management infrastructure of large scale systems for warfare, public utilities and public transportation, and is concerned with ensuring that the distributed human elements of command and control can be fully integrated into a coherent, total system. Intelligent Autonomous Systems (IASs) are a class of complex systems that perform tasks autonomously in uncertain, dynamic environments, the management of which can be viewed from the perspective of embedded command and control systems. This thesis establishes a vision for the modular construction of intelligent autonomous embedded C2 systems, which defines a complex integration problem characterised by distributed intelligence, world knowledge and control, concurrent processing on heterogeneous platforms, and real-time performance requirements. It concludes that by adopting an appropriate systems infrastructure model, based on Object Technology, it is possible to view the construction of embedded C2 systems as the integration of a temporally assembled collection of reusable components. To support this metaphor it is necessary to construct a common reference model, or standards framework, for the representation and specification of modular C2 systems. This framework must support the coherent long term development and evolution in system capability, ensuring that systems are extensible, robust and perform correctly. In this research, which draws together the themes of other published research in object oriented systems and robotics, classical AI models for intelligent systems architectures are used to specify the overall system structure, with open systems technologies supporting the interoperation of elements within the architecture. All elements of this system are modelled in terms of objects, with well defined, implementation independent interfaces. This approach enables the system to be specified in terms of an object model, and the development process to be framed in terms of object technology, defining a new approach to IAS development. The implementation of an On-board Command and Control System for an Autonomous Underwater Vehicle is used to validate these concepts. The further application of emergent industrial standards in distributed object oriented systems means that this kind of component-based integration is scaleable, providing a near-term solution to generic command and control problems, including Computer Integrated Manufacturing and large scale autonomous systems, where individual autonomous systems, such as robots, form elements of a complete, total intelligent system, for application to areas such as fully automated factories and cooperating intelligent autonomous vehicles for construction sites.

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Jin, Gang-Gyoo. "Intelligent fuzzy logic control of processes with time delays." Thesis, Cardiff University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388058.

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Elders, Ian Michael. "The use of intelligent systems in control and management of power systems." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248724.

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Sridharan, Aswinkumar. "Adaptive and intelligent memory systems." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S140/document.

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Dans cette thèse, nous nous sommes concentrés sur l'interférence aux ressources de la hiérarchie de la mémoire partagée : cache de dernier niveau et accès à la mémoire hors-puce dans le contexte des systèmes multicœurs à grande échelle. À cette fin, le premier travail a porté sur les caches de dernier niveau partagées, où le nombre d'applications partageant le cache pourrait dépasser l'associativité du cache. Pour gérer les caches dans de telles situations, notre solution évalue l'empreinte du cache des applications pour déterminer approximativement à quel point elles pourraient utiliser le cache. L'estimation quantitative de l'utilitaire de cache permet explicitement de faire respecter différentes priorités entre les applications. La seconde partie apporte une prédétection dans la gestion de la mémoire cache. En particulier, nous observons les blocs cache pré-sélectionnés pour présenter un bon comportement de réutilisation dans le contexte de caches plus grands. Notre troisième travail est axé sur l'interférence entre les demandes à la demande et les demandes de prélecture à l'accès partagé à la mémoire morte. Ce travail est basé sur deux observations fondamentales de la fraction des requêtes de prélecture générées et de sa corrélation avec l'utilité de prélecture et l'interférence causée par le prélecteur. Au total, deux observations conduisent à contrôler le flux de requêtes de prélecture entre les mémoires LLC et off-chip
In this thesis, we have focused on addressing interference at the shared memory-hierarchy resources: last level cache and off-chip memory access in the context of large-scale multicore systems. Towards this end, the first work focused on shared last level caches, where the number of applications sharing the cache could exceed the associativity of the cache. To manage caches in such situations, our solution estimates the cache footprint of applications to approximate how well they could utilize the cache. Quantitative estimate of cache utility explicitly allows enforcing different priorities across applications. The second part brings in prefetch awareness in cache management. In particular, we observe prefetched cache blocks to exhibit good reuse behavior in the context of larger caches. Our third work focuses on addressing interference between on-demand and prefetch requests at the shared off-chip memory access. This work is based on two fundamental observations of the fraction of prefetch requests generated and its correlation with prefetch usefulness and prefetcher-caused interference. Altogether, two observations lead to control the flow of prefetch requests between LLC and off-chip memory

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Chen, Ho-Hsien. "Bond graphs and qualitative reasoning for intelligent systems modelling and control." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387542.

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Callantine, Todd Jeffrey. "Tracking operator activities in complex systems." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/31091.

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Brown, Glenn, and n/a. "Remote Intelligent Air Traffic Control Systems for Non-Controlled Airports." Griffith University. School of Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040225.084516.

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Non-controlled airports are literally that - uncontrolled. Safe separation is achieved by pilot vigilance. The consensus of reports on incidences at noncontrolled airports generally conclude that pilots cannot rely entirely on vision to avoid collision and attempts should be made to obtain all available traffic information to enable a directed traffic search. Ideally, a system is required which has the ability to provide advice to all parties to ensure separation minima is maintained. Provision of a such a system would remove a measure of pressure from the pilot to allow that person to devote their attention to their prime responsibility of flying the aircraft. To this end, research on use of intelligent remote advisory systems for non-controlled airports was undertaken with emphasis on those systems which could minimize human resources and associated recurring costs, to provide a measure of repeatability and to provide an acceptable level of safety. A rule based system was developed and evaluated. The evaluation showed that use of a rule based system as the basis of an intelligent remote air traffic control system for non-controlled airports is a viable proposition. In test scenarios, collision hazards were identified and evasion tactics generated. For a full operational system, the application of the rules and definition of the aircraft circuit area may need refining; however, the results are certainly encouraging.

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Brown, Glenn. "Remote Intelligent Air Traffic Control Systems for Non-Controlled Airports." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367276.

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Non-controlled airports are literally that - uncontrolled. Safe separation is achieved by pilot vigilance. The consensus of reports on incidences at noncontrolled airports generally conclude that pilots cannot rely entirely on vision to avoid collision and attempts should be made to obtain all available traffic information to enable a directed traffic search. Ideally, a system is required which has the ability to provide advice to all parties to ensure separation minima is maintained. Provision of a such a system would remove a measure of pressure from the pilot to allow that person to devote their attention to their prime responsibility of flying the aircraft To this end, research on use of intelligent remote advisory systems for non-controlled airports was undertaken with emphasis on those systems which could minimize human resources and associated recurring costs, to provide a measure of repeatability and to provide an acceptable level of safety. A rule based system was developed and evaluated. The evaluation showed that use of a rule based system as the basis of an intelligent remote air traffic control system for non-controlled airports is a viable proposition. In test scenarios, collision hazards were identified and evasion tactics generated. For a full operational system, the application of the rules and definition of the aircraft circuit area may need refining; however, the results are certainly encouraging.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Engineering
Faculty of Engineering and Information Technology
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39

Yan, Jingsheng. "Platoon modal operations under vehicle autonomous adaptive cruise control model." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-07102009-040612/.

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Malaviya, Anoop Kumar. "Decision mechanism, knowledge representation, and software architecture for an intelligent control system /." Connect to this title, 1997. http://theses.library.uwa.edu.au/adt-WU2006.0127.

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41

Murrell, James Arthur. "A statistical fuzzy associative learning approach to intelligent control." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/32785.

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42

Guh, Ruey-Shiang. "On-line statistical process control : a hybrid intelligent approach." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311818.

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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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44

Williams, Robert. "An investigation into intelligent decision support systems for the activated sludge process." Thesis, University of Greenwich, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314702.

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45

Hua, Tao. "Monitoring and intelligent control for complex curvature friction stir welding." Thesis, Nelson Mandela Metropolitan University, 2006. http://hdl.handle.net/10948/420.

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A multi-input multi-output system to implement on-line process monitoring and intelligent control of complex curvature friction stir welding was proposed. An extra rotation axis was added to the existing three translation axes to perform friction stir welding of complex curvature other than straight welding line. A clamping system was designed for locating and holding the workpieces to bear the large force involved in the process between the welding tool and workpieces. Process parameters (feed rate, spindle speed, tilt angle and plunge depth), and process conditions (parent material and curvature), were used as factors for the orthogonal array experiments to collect sensor data of force, torque and tool temperature using multiple sensors and telemetry system. Using statistic analysis of the experimental data, sensitive signal features were selected to train the feed-forward neural networks, which were used for mapping the relationships between process parameters, process conditions and sensor data. A fuzzy controller with initial input/output membership functions and fuzzy rules generated on-line from the trained neural network was applied to perceive process condition changes and make adjustment of process parameters to maintain tool/workpiece contact and energy input. Input/output scaling factors of the fuzzy controller were tuned on-line to improve output response to the amount and trend of control variable deviation from the reference value. Simulation results showed that the presented neuro-fuzzy control scheme has adaptability to process conditions such as parent material and curvature changes, and that the control variables were well regulated. The presented neuro-fuzzy control scheme can be also expected to be applied in other multi-input multi-output machining processes.

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46

林誠 and Shing Lam. "Stability of neural network control systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31214265.

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Lam, Shing. "Stability of neural network control systems /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1859797X.

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Naidoo, Puramanathan. "The control of a multi-variable industrial process, by means of intelligent technology." Thesis, Port Elizabeth Technikon, 2001. http://hdl.handle.net/10948/48.

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Conventional control systems express control solutions by means of expressions, usually mathematically based. In order to completely express the control solution, a vast amount of data is required. In contrast, knowledge-based solutions require far less plant data and mathematical expression. This reduces development time proportionally. In addition, because this type of processing does not require involved calculations, processing speed is increased, since rule process is separate and all processes can be performed simultaneously. These results in improved product quality, better plant efficiency, simplified process, etc. Within this project, conventional PID control has already been implemented, with the control parameter adjustment and loop tuning being problematic. This is mainly due to a number of external parameters that affects the stability of the process. In maintaining a consistent temperature, for example, the steam flow rate varies, the hot well temperature varies, the ambient may temperature vary. Another contributing factor, the time delay, also affects the optimization of the system, due to the fact that temperature measurement is based on principle of absorption. The normal practice in industry to avoid an unstable control condition is to have an experienced operator to switch the controller to manual, and make adjustments. After obtaining the desired PV, the controller is switched back to automatic. This research project focuses on eliminating this time loss, by implementing a knowledge-based controller, for intelligent decision-making. A FLC design tool, which allows full interaction, whilst designing the control algorithm, was used to optimize the control system. The design tool executed on a PC is connected to a PLC, which in turn is successfully integrated into the process plant.

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Al-Hasan, Sami A. "Intelligent approaches to mission planning and control for autonomous vehicles." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15414.

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Mahmood, Waqar. "Intelligent modeling for control, reconfiguration and optimization of discrete event systems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/15014.

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Dissertations / Theses on the topic 'Intelligent control systems'

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