Ultra-Wideband ¡}UWB¡~Communication Technology is one of the potential technologies in indoor wireless communication applications. Because of the property of fine resolution of transmitted signal by UWB, it is powerful on indoor location applications. In the first place, we need to estimate the time of arrival based on the wireless location applications. Whether synchronization between the template signals and received signals affects directly the SNR of the estimator output and decreases the ranging accuracy. Because of the transmitted signal is the type of impulse radio for UWB system, it is more important on the time accuracy of the internal oscillator. In the thesis, we utilize the Delay-Locked Loop ¡}DLL¡~ structure with Self-tuning function to reduce the timing jitter in the internal oscillator. We can improve the stability in the tracking loop and utilize multipath canceller to cancel the multipath interference in the indoor environment. When reaching synchronization between the template signal and received signal by using the tracking loop, we can improve ranging accuracy and increase location precision according to the received signal.

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 125-133). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 125-133). Also available on the Internet.

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Made available in DSpace on 2015-05-08T15:00:02Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1093320 bytes, checksum: 07f20751ca5cce640d3cc39761829b03 (MD5) Previous issue date: 2010-08-03 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The objective of this work is to model and to control in real-time two links of a cartesian electropneumatic manipulator robot with three degrees of freedom (3DOF). The manipulative robot basically consists of three proportional eletropneumatic valves and three pneumatic cylinders, and their parameters are identified in real-time by the Recursive Least Squares (RLS) method. In the possession of the system s model, adaptive of Dahlin Minimum Variance (DMV) are planned and implemented aiming the position control of the manipulative robot s effecter organ. Finally, experimental results are presented, as a way to assess the manipulative robot s performance. / O objetivo do presente trabalho é modelar e controlar em tempo real dois elos de um robô manipulador eletropneumático de três graus de liberdade (3GDL) cartesiano. O robô manipulador é constituído basicamente por três válvulas eletropneumáticas proporcionais e por três cilindros pneumáticos, e seus parâmetros são identificados em tempo real pelo algoritmo dos Mínimos Quadrados Recursivos (MQR). De posse do modelo do sistema, controladores adaptativos de Dahlin-Variância Mínima (DMV) são projetados e implementados visando o controle de posição do órgão efetuador do robô manipulador. Finalizando, são apresentados resultados experimentais, como avaliação do desempenho obtido pelo robô manipulador.

Orientador: Rubens Maciel Filho / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Química / Made available in DSpace on 2018-08-17T00:14:12Z (GMT). No. of bitstreams: 1 Ribeiro_PleycienneTrajano_D.pdf: 5889372 bytes, checksum: fb40a08b4781dc281483bc320321f3ff (MD5) Previous issue date: 2010 / Resumo: Este trabalho teve como principal objetivo o desenvolvimento e implementação de um controlador adaptativo do tipo regulador auto-ajustável (STR - Self Tuning Regulator), com a subsequente comparação de seu desempenho com um controlador PID (proporcionalintegrativo-derivativo) e dois controladores preditivos: um preditivo baseado em redes neurais artificiais e um controlador DMC (Dynamic Matrix Control). Esses esquemas de controle foram todos implementados na ferramenta de simulação desenvolvida, o FCCGUI (Fluid Catalytic Cracking Graphical User Interface). Como modelo para estimativa dos parâmetros do controlador adaptativo foi treinada e validada uma rede neural. Esse modelo caixa-preta forneceu uma abordagem eficiente para identificação e controle não-linear do processo de craqueamento catalítico. Para implementação do controlador adaptativo foram estruturadas três novas malhas de controle PID a partir de estudos estatísticos desenvolvidos para a análise dos efeitos das variáveis de processo e suas interações. Dentre essas novas malhas de controle, optou-se pela implementação do controle adaptativo no par manipulada-controlada CTCV-SEVER (abertura de catalisador regenerado - severidade da reação). Após aperfeiçoamentos e reestruturações no simulador FCCGUI, foram realizadas várias simulações para avaliação gráfica e numérica do desempenho do controlador através do critério de desempenho dinâmico ITAE (Integral of Time and Absolute Error). O controlador adaptativo apresentou bons resultados, tanto para testes servo quanto para regulatórios em comparação com a estratégia PID sem adaptação, bem como para as demais estratégias disponíveis no simulador, MPC-RNA (Model Predictive Control baseado em uma Rede Neural Artificial) e DMC. A capacidade de ajuste dos parâmetros do controlador torna-o uma estratégia promissora para sistemas que sofrem com alterações contínuas em suas variáveis de processo ou mudanças de setpoint / Abstract: This work had as main objective the development and implementation of an selftuning regulator (STR) adaptive controller, with subsequent comparison of its performance with a PID (proportional-integral-derivative) controller and two predictive controllers, namely a predictive based on artificial neural networks (MPC-ANN) and a dynamic matrix controller (DMC). These control schemes were all implemented in the developed simulation tool, the FCCGUI - Fluid Catalytic Cracking Graphical User Interface. An artificial neural network, used as a model to estimate controller parameters, was trained and validated. This black box model provided an efficient approach for identification and nonlinear control of the catalytic cracking process. To implement the adaptive controller, three new PID control loops were structured based on statistical studies designed to analyze the effects of process variables and their interactions. The implementation of adaptive control was chosen to be in the manipulated-controlled pair CTCV-SEVER (regenerated catalyst valve opening - reaction severity). After restructuring and improvements in the simulator FCCGUI, several simulations were performed for graphical and numerical evaluation of controller performance through ITAE (Integral of Time and Absolute Error) dynamic performance criterion. The adaptive controller presented good results for both tests: servo and regulatory, in comparison with PID strategy without adaptation and other strategies available to the simulator, MPC-ANN and DMC. The ability to adjust the parameters of the controller makes it a promising strategy for systems that suffer from continuous changes in their process variables or setpoints / Doutorado / Desenvolvimento de Processos Químicos / Doutor em Engenharia Química

[pt] A escolha e materialização de índices são atividades comumente realizadas por administradores de bancos de dados (DBAs) para acelerar o processamento de aplicações de bancos de dados. Devido à complexidade da tarefa de seleção de índices e à pressão por maior produtividade sobre os profissionais que realizam sintonia, diversos trabalhos na literatura e em sistemas comerciais procuram obter ferramentas que possam apoiar o DBA na escolha dos melhores índices para uma dada carga de trabalho. Classificamos estes trabalhos como sendo de auto-sintonia local, uma vez que se focam em um problema de sintonia específico, em oposição a trabalhos de auto-sintonia global, que almejam obter um desempenho aceitável para o sistema como um todo. Esta dissertação propõe duas arquiteturas que permitem automatizar completamente a sintonia de índices. A indepedência de intervenção humana é obtida através do uso de agentes de software. A combinação de agentes com SGBDs torna os sistemas mais autônomos e capazes de auto-sintonia. Implementamos uma das arquiteturas propostas no SGBD de código fonte aberto PostgreSQL e obtivemos resultados experimentais com uma carga transacional que mostram a viabilidade de nossa abordagem. / [en] The choice and materialization of indexes are activities commonly done by database administrators to speed up database application processing. Due to the complexity of the index selection task and to the pressure for productivity increase put on tuning professionals, many works on the literature and on commercial systems seek for tools that can help the DBA choose the best indexes for a given workload. We classify these works as local self- tuning, once they are interested in a specific tuning problem, in opposition to global self-tuning work, which is targeted at obtaining acceptable performance for the system as a whole. This dissertation proposes two architectures that allow the complete automation of the index tuning task. Human intervention independence is achieved through the use of software agents. The combination of agents and DBMS makes systems more autonomous and self-tuning. We have implemented one of the proposed architectures in the open source DBMS PostgreSQL and obtained experimental results with a transactional workload that show the feasibility of our approach.

The diploma thesis deals with the self-tuning PSD controllers. The parameters of the model are obtained by a non-recurring method of least squares. With the assistance of the Matlab/Simulink programme, the individual processes of the PSD controller are compared on a second order system. In the thesis, a simulation of the self-tuning cascade control of PMSM‘s current and speed loop is created. The following part of the thesis covers the implementation of individual algorithms on the dSPACE platform for the real PMSM.

A project report submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in partial fulfillment of the requirements for 'the degree of Master of Science in Engineering. Johannesburg 1991. / The report describes the design of an algorithm which can be used for automatic controller tuning purposes. It uses an on-line parameter estimator and a pole assignrnent design method. The resulting control law is formulated to approximate a proportional-integral (PI) industrial controller. The development ofthe algorithm is based on the delta-operator, Some implementation aspects such as covariance resetting, dead zone, and signal conditioning are also discussed. Robust stability and performance are two issues that govern the design approach. Additionally transient and steady state system response criteria are utilized from the time and frequency domains. The design work is substantiated with the use of simulation and real plant tests. / AC2017

This dissertation presents a self-tuning regulator (STR) design method developed based upon a state-space linear quadratic Gaussian (LQG) control strategy for rejecting a disturbance in a flexible structure in the face of model uncertainty. The parameters to be tuned are treated as additional state variables and are estimated recursively together with the system state that is needed for feedback. Also, the feedback gains are designed in the LQ framework based upon the estimated model parameters. Two problems concerning the uncertainty of model parameters are recognized. First, we consider the uncertainty in the system matrix of the state space model. The self-tuning regulator is implemented by computer and the control law is obtained based upon a discrete-time model; however, only selected continuous-time parameters with physical meanings to which the controller is highly sensitive are tuned. It is formulated as a nonlinear filtering problem such that both the estimated state and the unknown parameters can be obtained by an extended Kahman filter. The capability of this design method is experimentally demonstrated by applying it to the rejection of a disturbance in a simply supported plate. The other problem considered is that the location where the disturbance enters the system is unknown. This corresponds to an unknown disturbance influence matrix. Under the assumption that the system matrix is known and the disturbance can be measured, it is formulated as a linear filtering problem with an approximate discrete-time design model. Similarly, the estimated state for feedback and the unknown parameters are identified simultaneously and recursively. Also, the feedback gains are calculated approximately by recursively solving the discrete-time control Riccati equation. The effectiveness of the controller is shown by applying it to a simply-supported plate, when the location of the disturbance is assumed unknown. Since implementing LQG self-tuning controllers for vibration control systems requires significant real-time computation, methods that can reduce the computing load are examined. In addition, the possibility of extending the self tuning to disturbance model parameters is explored. / Ph. D.