This dissertation aims to realize the goal of deploying legged robots that cooperatively walk to transport objects in complex environments. More than half of the Earth's continent is unreachable to wheeled vehicles---this motivates the deployment of collaborative legged robots to enable the accessibility of these environments and thus bring robots into the real world. Although significant theoretical and technological advances have allowed the development of distributed controllers for complex robot systems, existing approaches are tailored to the modeling and control of multi-agent systems composed of collaborative robotic arms, multi-fingered robot hands, aerial vehicles, and ground vehicles, but not collaborative legged agents. Legged robots are inherently unstable, unlike most of the systems where these algorithms have been deployed. Models of cooperative legged robots are further described by high-dimensional, underactuated, and complex hybrid dynamical systems, which complicate the design of control algorithms for coordination and motion control. There is a fundamental gap in knowledge of control algorithms for safe motion control of these inherently unstable hybrid dynamical systems, especially in the context of collaborative work. The overarching goal of this dissertation is to create a formal foundation based on scalable optimization and robust and nonlinear control to develop distributed and hierarchical feedback control algorithms for cooperative legged robots to transport objects in complex environments. We first develop a hierarchical nonlinear control algorithm, based on model predictive control (MPC), quadratic programming (QP), and virtual constraints, to generate and stabilize locomotion patterns in a real-time manner for dynamical models of single-agent quadrupedal robots. The higher level of the proposed control scheme is developed based on an event-based MPC that computes the optimal center of mass (COM) trajectories for a reduced-order linear inverted pendulum (LIP) model subject to the feasibility of the net ground reaction force (GRF). QP-based virtual constraint controllers are developed at the lower level of the proposed control scheme to impose the full-order dynamics to track the optimal trajectories while having all individual GRFs in the friction cone. The analytical results are numerically verified to demonstrate stable and robust locomotion of a 22 degree of freedom (DOF) quadrupedal robot, in the presence of payloads, external disturbances, and ground height variations. We then present a hierarchical nonlinear control algorithm for the real-time planning and control of cooperative locomotion of legged robots that collaboratively carry objects. An innovative network of reduced-order models subject to holonomic constraints, referred to as interconnected LIP dynamics, is presented to study quasi-statically stable cooperative locomotion. The higher level of the proposed algorithm employs a supervisory controller, based on event-based MPC, to effectively compute the optimal reduced-order trajectories for the interconnected LIP dynamics. The lower level of the proposed algorithm employs distributed nonlinear controllers to reduce the gap between reduced- and full-order complex models of cooperative locomotion. We numerically investigate the effectiveness of the proposed control algorithm via full-order simulations of a team of collaborative quadrupedal robots, each with a total of 22 DOFs. The dissertation also investigates the robustness of the proposed control algorithm against uncertainties in the payload mass and changes in the ground height profile. Finally, we present a layered control approach for real-time trajectory planning and control of dynamically stable cooperative locomotion by two holonomically constrained quadrupedal robots. An innovative and interconnected network of reduced-order models, based on the single rigid body (SRB) dynamics, is developed for trajectory planning purposes. At the higher level of the control scheme, two different MPC algorithms are proposed to address the optimal control problem of the interconnected SRB dynamics: centralized and distributed MPCs. The MPCs compute the reduced-order states, GRFs, and interaction wrenches between the agents. The distributed MPC assumes two local QPs that share their optimal solutions according to a one-step communication delay and an agreement protocol. At the lower level of the control scheme, distributed nonlinear controllers are employed to impose the full-order dynamics to track the prescribed and optimal reduced-order trajectories and GRFs. The effectiveness of the proposed layered control approach is verified with extensive numerical simulations and experiments for the blind, robust, and cooperative locomotion of two holonomically constrained A1 robots with different payloads on different terrains and in the presence of external disturbances. It is shown that the distributed MPC has a performance similar to that of the centralized MPC, while the computation time is reduced significantly. / Doctor of Philosophy / Future cities will include a complex and interconnected network of collaborative robots that cooperatively work with each other and people to support human societies. Human-centered communities, including factories, offices, and homes, are developed for humans who are bipedal walkers capable of stepping over gaps, walking up/down stairs, and climbing ladders. One of the most challenging problems in deploying the next generation of collaborative robots is maneuvering in those complex environments. Although significant theoretical and technological advances have allowed the development of distributed controllers for motion control of multi-agent robotic systems, existing approaches do not address the collaborative locomotion problem of legged robots. Legged robots are inherently unstable with nonlinear and hybrid natures, unlike most systems where these algorithms have been deployed. Furthermore, the evolution of legged collaborative robot teams that cooperatively manipulate objects can be represented by high-dimensional and complex dynamical systems, complicating the design of control algorithms for coordination and motion control. This dissertation aims to establish a formal foundation based on nonlinear control and optimization theory to develop hierarchical feedback control algorithms for effective motion control of legged robots. The proposed layered control algorithms are developed based on interconnected reduced-order models. At the high level, we formulate cooperative locomotion as an optimal control problem of the reduced-order models to generate optimal trajectories. To realize the generated optimal trajectories, nonlinear controllers at the low level of the hierarchy impose the full-order models to track the trajectories while sustaining stability. The effectiveness of the proposed layered control approach is verified with extensive numerical simulations and experiments for the blind and stable cooperative locomotion of legged robots with different payloads on different terrains and subject to external disturbances. The proposed architecture's robustness is shown under various indoor and outdoor conditions, including landscapes with randomly placed wood blocks, slippery surfaces, gravel, grass, and mulch.

Space satellite technology is heading in the direction of ultra-large, lightweight structures deployable on orbit. Minimal structural mass translates into minimal launch costs, while increased satellite bus size translates into significant bandwidth improvement for both radar and optical applications. However, from a structural standpoint, these two goals are in direct conflict with one another, as large, flexible structures possess terrible dynamic properties and minimal effective bandwidth. Since the next level of research will require active dynamic analysis, vibration control, and shape morphing control of these satellites, a better-suited name for this technology is Super Precise Intelligent Deployables for Engineered Reconnaissance, or SPIDER. Unlike wisps of cobweb caught in the wind, SPIDER technology will dictate the functionality and versatility of the satellite much like an arachnid weaving its own web. In the present work, a rigorous mathematical framework based on distributed parameter system theory is presented in describing the dynamics of augmented membranous structures. In particular, Euler-Bernoulli beam theory and thin plate theory are used to describe the integration of piezoelectric material with membranes. In both the one and two dimensional problems, experimental validation is provided to support the developed models. Next, the linear quadratic regulator (LQR) control problem is defined from a distributed parameter systems approach, and from this formulation, the functional gains of the respective system are gleaned. The functional gains provide an intelligent mapping when designing an observer-based control system as they pinpoint important sensory information (both type and spatial location) within the structure. Further, an experimental investigation into the dynamics of membranes stretched over shallow, air-filled cavities is presented. The presence of the air-filled cavity in close proximity to the membrane creates a distributed spring and damping effect, thus creating desirable system dynamics from an optical or radar application perspective. Finally, in conjunction with the use of a pressurized cavity with a membrane optic, a novel basis is presented for describing incoming wavefront aberrations. The new basis, coined the clamped Zernike polynomials, provides a mapping for distributed spatial actuation of a membrane mirror that is amiable to the clamped boundary conditions of the mechanical lens. Consequently, based on the work presented here and being carried out in cooperation with the Air Force Research Laboratory Directed Energy Directorate (AFRL / DE), it is envisioned that a 1 m adaptive membrane optic is on the verge of becoming a reality. / Ph. D.

In this thesis, we develop scalable frameworks to (re)design a class of large-scale network systems with built-in control mechanisms, including electric power systems and the Internet, in order to improve their economic efficiency and performance while guaranteeing their stability and robustness. After a detailed introduction relating to power system control and optimization, as well as network congestion control, we turn our attention to merging primary and secondary frequency control for the power grid. We present modifications in the conventional generation control using a consensus design approach while considering the participation of controllable loads. The optimality, stability and delay robustness of the redesigned system are studied. Moreover, we extend the proposed control scheme to (i) networks with more complexity and (ii) the case where controllable loads are involved in the optimization. As a result, our controllers can balance power flow and drive the system to an economically optimal operating point in the steady state. We then study a real-time control framework that merges primary, secondary and tertiary frequency control in power systems. In particular, we consider a transmission level network with tree topology. A distributed dynamic feedback controller is designed via a primal-dual decomposition approach and the stability of the overall system is studied. In addition, we introduce extra dynamics to improve system performance and emphasize the trade-off when choosing the gains of the extra dynamics. As a result, the proposed controller can balance supply and demand in the presence of disturbances, and achieve optimal power flow in the steady state. Furthermore, after introducing the extra dynamics, the transient performance of the system significantly improves. A redesign framework for network congestion control is developed next. Motivated by the augmented Lagrangian method, we introduce extra terms to the Lagrangian, which is used to redesign the primal-dual, primal and dual algorithms. We investigate how the gains resulting from the extra dynamics influence the stability and robustness of the system. Moreover, we show that the overall system can achieve added robustness to communication delays by appropriately tuning these gains. Also, the meaning of these extra dynamics is investigated and a distributed proportional-integral-derivative controller for solving network congestion control problems is further developed. Finally, we concentrate on a reverse- and forward-engineering framework for distributed control of a class of linear network systems to achieve optimal steady-state performance. As a typical illustration, we use the proposed framework to solve the real-time economic dispatch problem in the power grid. On the other hand, we provide a general procedure to modify control schemes for a special class of dynamic systems. In order to investigate how general the reverse- and forward-engineering framework is, we develop necessary and sufficient conditions under which an linear time-invariant system can be reverse-engineered as a gradient algorithm to solve an optimization problem. These conditions are characterized using properties of system matrices and relevant linear matrix inequalities. We conclude this thesis with an account for future research.

Recent issues such as priority access of renewable resources recommended by European energy directives and increase the electricity trading among countries lead to new requirements on the operation and expansion of transmission grids. Since AC grid expansions are limited by legislative issues and long distance transmission capacity, there is a considerable attention drawn to application of HVDC transmission grids on top of, or in complement to, existing AC power systems. The secure operation of HVDC grids requires a hierarchical control system. In HVDC grids, the primary control action to deal with power or DC voltage deviations is communication-free and local. In addition to primary control, the higher supervisory control actions are needed to guarantee the optimal operation of HVDC grids. However, the implementation of supervisory control functions is linked to the arrangement of system operators; i.e. an individual HVDC operator (central structure) or sharing tasks among AC system operators (distributed structure). This thesis presents distributed control of an HVDC grid. To this end, three possible supervisory functions are investigated; coordination of power injection set-points, DC slack bus selection and network topology identification. In this thesis, all three functions are first studied for the central structure. For the distributed solution, two algorithms based on Alternating Direction Method of Multipliers (ADMM) and Auxiliary Problem Principle (APP) are adopted to solve the coordination of power injection. For distributed selection of DC slack bus, the choice of parameters for quantitative ranking of converters is important. These parameters should be calculated based on local measurements if distributed decision is desired. To this end, the short circuit capacity of connected AC grid and power margin of converters are considered. To estimate the short circuit capacity as one of the required selection parameters, the result shows that the recursive least square algorithm can be very efficiently used. Besides, it is possible to intelligently use a naturally occurring droop response in HVDC grids as a local measurement for this estimation algorithm. Regarding the network topology, a two-stage distributed algorithm is introduced to use the abstract information about the neighbouring substation topology to determine the grid connectivity. / <p>QC 20170306</p>

O rápido avanço tecnológico nestes últimos anos, principalmente dos recursos computacionais e de comunicação, permite que os sistemas produtivos (SP) evoluam tanto no seu aspecto estrutural quanto no comportamental para que atendam às necessidades crescentes do mercado. Os elementos integrantes dos SP vêm incorporando estes avanços, atingindo maior autonomia e flexibilidade p ara cumprir suas funcionalidades. Além disso, a tendência dos dispositivos de controle de incorporar a capacidade de atuação em ambientes distribuídos onde a interação ocorre através de redes de comunicação, verificada na evolução das normas aplicadas a sistemas de controle, reflete a necessidade de aderência dos sistemas de controle a essa realidade. A necessidade de se manter competitivo no mercado impõe aos atuais SP situações em que emergem novos desafios para realização do controle dos seus processos globais, uma vez que estes assumem múltiplos objetivos, envolvendo diferentes naturezas de indeterminismo, assincronismo e variância no tempo, provocando um nível de complexidade inédito no que se refere ao controle destes sistemas. Este trabalho propõe inicialmente uma nova abstração para modelar-se os SP baseada no conceito de decomposição multidimensional e em múltiplas faces, distribuindo o controle através dos componentes colaborativos. Feito isto, são propostos procedimentos e técnicas para modelagem de sistemas de controle distribuídos e colaborativos (SCDC) de SP. Considera-se para isso, primeiro, uma arquitetura lógica de controle que contemple os múltiplos domínios semânticos presentes em SP, que são provenientes das especificidades dos elementos integrantes. Segundo, a multiplicidade de habilidades necessárias para garantir a execução das estratégias de controle pertinentes a cada domínio. Terceiro, o fluxo de informações heterogêneas provenientes das interações colaborativas entre os domínios. / Recent technological advances, mainly of computer and communication systems, allow the production systems (SP) to evolve in structural aspect as well as in behavioral aspect. The SP resources have achieved enhanced autonomy and flexibility with embedded computer and communication capability. Latest trends of control devices, as seen in the evolution of standards related to control systems, focus on the use of these devices in a distributed environment, where interaction occur through a communication network Thus, the SP control system and its design methods have to fit to this reality. In a competitive scenario, the SP are challenged to keep control of the global processes, considering the multiple goals of these processes and the involvement of different aspect of indeterminism, lack of synchronisms and time variance, generating a inedited complexity level for control of this systems. This work proposes a new abstraction for modeling the control systems of SP, based on the concept of multidimensional decompositions. Based on this, it introduces the procedures and techniques for modeling the distributed and collaborative control systems (SCDC) of the production systems. First, it considers the logic architecture of the control that support many semantic domains presented in this type of SP. Then, the diversity of skills related to each domain necessary to accomplish the control strategies. And then, the heterogeneous information flow through the domains boundaries, derived from the collaborative interaction between the control components.

Muitos são os motivos para a realização de pesquisas que envolvam o setor de saneamento básico no Brasil, entre estes motivos estão algumas características muito peculiares relacionadas a este setor, características que vão desde a sua concepção e a sua forma de organização até sua susceptibilidade à externalidades como influências naturais, políticas e sociais. Este trabalho oferece uma visão prática sobre a aplicação de tecnologias de automação em sistemas de saneamento e tem como objetivo expor um conjunto de soluções voltadas à automação de sistemas de abastecimento hídrico. Os sistemas automatizados caracterizam-se principalmente pela necessidade de aquisição e envio de informações de um ou mais centros de controle operacionais a estações remotas situadas nas mais diversas localizações como: centros densamente urbanizados, áreas não urbanas, locais de acesso restrito, áreas costeiras, áreas portuárias, localidades subterrâneas e localidades de topografia elevada. Esta diversidade de características demanda um conjunto de soluções de automação, supervisão e gerenciamento de informações para o controle e a gestão do sistema de abastecimento de forma integrada e eficiente. Neste trabalho são descritas algumas destas soluções, aqui denominadas referenciais de análise, com o objetivo de delinear um modelo de automação para sistemas de abastecimento hídrico que possa oferecer subsídios para o desenvolvimento destes sistemas em regiões que ainda não os possuam plenamente automatizados. / Many are the reasons to carry out researches whom involves the sector of basic sanitation in Brazil, among these reasons are some very peculiar characteristics related to this section, characteristics that goes from its conception and organization to its susceptibility to the to external factors as natural, politics and social influences. This work offers a practical vision about the application of automation technologies in systems of sanitation and has as objective to expose a group of solutions oriented to the automation of hydric supply systems. That automated systems are characterized mainly by the necessity of acquisition and information sending of one or more operational control centers to remote stations located in the most several locations as: densely urbanized centers, non urban areas, restricted access places, coastal areas, port areas, underground places and high topography places. This diversity of characteristics demands a group of automation, supervision and administration of information solutions to the control and the administration of the supply system in an integrated and efficient way. In this work some of these solutions are described, here denominated analysis referentials, with the objective of delineating an automation model for hydric supply systems that could offer subsidies for the development of these systems in areas that still don\'t possess them fully automated.

Sistemas de controle distribuídos cujas malhas são fechadas através de uma rede de comunicação são chamados de sistemas de controle distribuídos em redes de comunicação (NCS - Networked Control System). Este tipo de arquitetura permite a divisão do sistema de controle em módulos interconectados através da rede de comunicação, proporcionando a divisão do processamento, a redução de custo e de peso, além de facilitar o diagnóstico e manutenção do sistema e de aumentar a sua exibilidade e agilidade; e por isso seu emprego na indústria está se tornando comum (e.g., y-by-wire e drive-by-wire). Porém, a distribuição do processamento e a inserção de uma rede de comunicação aumenta a complexidade da análise e do projeto deste tipo de sistema. Um dos fatores que contribui para esse aumento da complexidade é a presença de atrasos aleatórios nos sinais de controle, causados pela dinâmica do sistema computacional (conjunto de hardware e software) que serve como plataforma para implementação do sistema de controle digital. Este trabalho faz um estudo sobre este tipo de sistema sob a perspectiva destes sinais com atrasos. Para isso, faz-se uso dos toolboxes para MATLAB: TrueTime e Jitterbug. Através destas ferramentas, mostra-se a existência de uma relação de compromisso entre o desempenho do controle e o desempenho do sistema computacional. Através deste estudo, é proposto uma solução de um sistema de controle do tipo NCS para um ROV (do inglês Remotely Operated Vehicle), modelado através de 6 equações diferenciais desacopladas não-lineares. Este tipo de veículo tem uma relevância econômica significativa para o Brasil, visto que é utilizado em operações de manutenção e instalação de plataformas de extração do petróleo que está depositado em profundidades que variam de mil a 2 mil metros. Para este NCS proposto, são utilizados controladores do tipo PI com estrutura feedback-feedfoward cujos parâmetros de projeto são obtidos em função dos atrasos inseridos pelo sistema computacional. / Distributed control systems wherein the control loops are closed through a communication network are called Networked Control Systems (NCSs). This type of architecture allows the control systems division into modules interconnected through the communication network, providing the processing division, reduction of cost and weight, and facilitates the systems diagnosis and maintenance, and increases their exibility and agility. Therefore its use in industry is becoming common (eg, y-by-wire and drive-by-wire). However, the processing distribution and the communication network insertion increase the system analysis and design complexity. One of the factors that contributes to this increased complexity is the presence of random time delays, caused by the dynamics of the computer system (set of hardware and software) used as a platform for digital control system implementation. This work deals with the networked control systems under these random time delays view. For this, it is used two MATLAB toolboxes: Jitterbug and TrueTime. With these tools, it is shown the existence of a relationship between the performance of control and performance of computer system. With this study, it proposed a solution of a NCS for a ROV (Vehicle Operated Remotely), modeled by 6 differential nonlinear decoupled equations. This type of vehicle has a significant economic relevance for Brazil, as it is used in maintenance and installation of platforms for oil extraction deposited at depths ranging from thousand to 2 thousand meters. For this proposed NCS are adopted PI controllers with feedfoward-feedback structure whose parameters design are given in terms of delay inserted by the computer system.

Frente a abrangente presença da internet no ambiente acadêmico e residencial, a literatura relata, na última década, um número crescente de experiências de ensino a distância na área de automação e controle industrial, nas quais desde procedimentos teóricos até aulas práticas podem ser realizados através de acesso remoto. Neste contexto, este trabalho apresenta o estado da arte sobre as experiências acadêmicas no emprego de laboratórios on-line relacionados à teoria de controle e introduz uma nova proposta de arquitetura de acesso remoto, que será aplicada ao ensino de sistemas de controle distribuídos via rede de campo no protocolo FOUNDATION Fieldbus em ambiente simulado. / Due to the increasing presence of the internet in the academic and residential environment, the literature shows an increasing number of experiences of distance learning in the automation and industrial control area in the last decade, in which theoretical procedures as well as practical lessons can be carried out through remote access. In this context, this dissertation presents a brief survey on the academic experiences in the application of on-line laboratories and introduces a new proposal of remote access architecture that will be applied on a distance learning experience in the networked control systems area based on the FOUNDATION Fieldbus protocol using a simulated environment.

O rápido avanço tecnológico nestes últimos anos, principalmente dos recursos computacionais e de comunicação, permite que os sistemas produtivos (SP) evoluam tanto no seu aspecto estrutural quanto no comportamental para que atendam às necessidades crescentes do mercado. Os elementos integrantes dos SP vêm incorporando estes avanços, atingindo maior autonomia e flexibilidade p ara cumprir suas funcionalidades. Além disso, a tendência dos dispositivos de controle de incorporar a capacidade de atuação em ambientes distribuídos onde a interação ocorre através de redes de comunicação, verificada na evolução das normas aplicadas a sistemas de controle, reflete a necessidade de aderência dos sistemas de controle a essa realidade. A necessidade de se manter competitivo no mercado impõe aos atuais SP situações em que emergem novos desafios para realização do controle dos seus processos globais, uma vez que estes assumem múltiplos objetivos, envolvendo diferentes naturezas de indeterminismo, assincronismo e variância no tempo, provocando um nível de complexidade inédito no que se refere ao controle destes sistemas. Este trabalho propõe inicialmente uma nova abstração para modelar-se os SP baseada no conceito de decomposição multidimensional e em múltiplas faces, distribuindo o controle através dos componentes colaborativos. Feito isto, são propostos procedimentos e técnicas para modelagem de sistemas de controle distribuídos e colaborativos (SCDC) de SP. Considera-se para isso, primeiro, uma arquitetura lógica de controle que contemple os múltiplos domínios semânticos presentes em SP, que são provenientes das especificidades dos elementos integrantes. Segundo, a multiplicidade de habilidades necessárias para garantir a execução das estratégias de controle pertinentes a cada domínio. Terceiro, o fluxo de informações heterogêneas provenientes das interações colaborativas entre os domínios. / Recent technological advances, mainly of computer and communication systems, allow the production systems (SP) to evolve in structural aspect as well as in behavioral aspect. The SP resources have achieved enhanced autonomy and flexibility with embedded computer and communication capability. Latest trends of control devices, as seen in the evolution of standards related to control systems, focus on the use of these devices in a distributed environment, where interaction occur through a communication network Thus, the SP control system and its design methods have to fit to this reality. In a competitive scenario, the SP are challenged to keep control of the global processes, considering the multiple goals of these processes and the involvement of different aspect of indeterminism, lack of synchronisms and time variance, generating a inedited complexity level for control of this systems. This work proposes a new abstraction for modeling the control systems of SP, based on the concept of multidimensional decompositions. Based on this, it introduces the procedures and techniques for modeling the distributed and collaborative control systems (SCDC) of the production systems. First, it considers the logic architecture of the control that support many semantic domains presented in this type of SP. Then, the diversity of skills related to each domain necessary to accomplish the control strategies. And then, the heterogeneous information flow through the domains boundaries, derived from the collaborative interaction between the control components.

Muitos são os motivos para a realização de pesquisas que envolvam o setor de saneamento básico no Brasil, entre estes motivos estão algumas características muito peculiares relacionadas a este setor, características que vão desde a sua concepção e a sua forma de organização até sua susceptibilidade à externalidades como influências naturais, políticas e sociais. Este trabalho oferece uma visão prática sobre a aplicação de tecnologias de automação em sistemas de saneamento e tem como objetivo expor um conjunto de soluções voltadas à automação de sistemas de abastecimento hídrico. Os sistemas automatizados caracterizam-se principalmente pela necessidade de aquisição e envio de informações de um ou mais centros de controle operacionais a estações remotas situadas nas mais diversas localizações como: centros densamente urbanizados, áreas não urbanas, locais de acesso restrito, áreas costeiras, áreas portuárias, localidades subterrâneas e localidades de topografia elevada. Esta diversidade de características demanda um conjunto de soluções de automação, supervisão e gerenciamento de informações para o controle e a gestão do sistema de abastecimento de forma integrada e eficiente. Neste trabalho são descritas algumas destas soluções, aqui denominadas referenciais de análise, com o objetivo de delinear um modelo de automação para sistemas de abastecimento hídrico que possa oferecer subsídios para o desenvolvimento destes sistemas em regiões que ainda não os possuam plenamente automatizados. / Many are the reasons to carry out researches whom involves the sector of basic sanitation in Brazil, among these reasons are some very peculiar characteristics related to this section, characteristics that goes from its conception and organization to its susceptibility to the to external factors as natural, politics and social influences. This work offers a practical vision about the application of automation technologies in systems of sanitation and has as objective to expose a group of solutions oriented to the automation of hydric supply systems. That automated systems are characterized mainly by the necessity of acquisition and information sending of one or more operational control centers to remote stations located in the most several locations as: densely urbanized centers, non urban areas, restricted access places, coastal areas, port areas, underground places and high topography places. This diversity of characteristics demands a group of automation, supervision and administration of information solutions to the control and the administration of the supply system in an integrated and efficient way. In this work some of these solutions are described, here denominated analysis referentials, with the objective of delineating an automation model for hydric supply systems that could offer subsidies for the development of these systems in areas that still don\'t possess them fully automated.