Manual Time Series Modeling for Analysis and Control: Advanced Autopilot and Monitoring Systems

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Saudi Change Country. Shop By Category. My Orders. Track Orders. Change Language. English Arabic. Important Links. Follow Us. Add to Wishlist. USD Sign in to Purchase Instantly. Overview This book presents multivariate time series methods for the analysis and optimal control of feedback systems.

The basic models used in this method are the multivariate autoregressive model with exogenous variables ARX model and the radial bases function net-type coefficients ARX model. The noise contribution analysis can then be performed through the estimated autoregressive AR model and various types of autopilot systems can be designed through the state—space representation of the models. The marine autopilot systems addressed in this book include optimal controllers for course-keeping motion, rolling reduction controllers with rudder motion, engine governor controllers, noise adaptive autopilots, route-tracking controllers by direct steering, and the reference course-setting approach.

The methods presented here are exemplified with real data analysis and experiments on real ships. This book is highly recommended to readers who are interested in designing optimal or adaptive controllers not only of ships but also of any other complicated systems under noisy disturbance conditions. Product Details Table of Contents. Table of Contents Ch1 Introduction 1. Show More. Average Review. Write a Review. Moreover, the traditional methodologies in distributed system engineering have to be adapted and reviewed for minimizing the ICT footprint on the environment in terms of carbon emission, radio wave propagation, waste, technological pollution, energy efficiency, resource reuse, etc.

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Thus, ICT system engineering has to be globally rethought in the context of new business paradigm as the circular economy. The major effort of Engineering focuses then on the resource efficiency. The aim of this track is to bring together different communities working on different aspects of complex networked systems. The track will discuss some fundamental issues on control of complex networks, including controllability and observability of complex networks, mathematical and algorithmic tools for analysis and design of large-scale networked systems, and potential applications to real-world systems.

Several frameworks have been developed, and these can be applied to a myriad of engineering systems that operate repeatedly on the same trajectory, especially in manufacturing, robotics, data storage systems, process control, etc. In a highly Web environment, these teams have to use and invent new solutions to improve knowledge transfer, storage and retrieval. The technologies and methods continue to get more and more diverse. At the same time, the types of online communities with high levels of interaction become more and more multi-dimensional.

To optimize organizational performance and further promote knowledge innovation and knowledge management in industrial organizations, new and expanded strategies for sharing knowledge within and between knowledge communities are required. This track offers the opportunity to exchange ideas about new knowledge management applications. The track will allow sharing experiences and interacting between researchers and engineers. Both theoretical and application results are sought for.

Time Series Talk : ARIMA Model

A second objective of the session is to provide a platform for academic and industrial communities to exchange their latest results and to identify main issues and challenges for future investigation on time scale theory for dynamical systems. Aging populations have put increased stress on medical resources with a greater demand for critical care and other acute care treatment starting to exceed availability in many first world nations. At the same time, the past 20 years have seen a tremendous growth in the application of technology to clinical practice, as well as in the computing power available in every-day and medical devices.

However, despite these changes, the practice of medicine, particularly in the diagnostic and therapy selection parts of practice have seen little change in the past 30 years. At the same time clinical practice is under increasing strain due to limited resources. Hence there is significant opportunity to augment and partially automate diagnosis and therapy selection using patient specific modeling.

This opportunity is particularly relevant in high cost acute care wards, such as the intensive care unit ICU , where significant clinical decisions must be made rapidly by staff under increasing demand for their time. However applications can spread across a variety of clinical wards and outpatient settings, as well as across a variety of biological systems not restricted just to humans.

Hence, there has been some recent growth in the use of models to help test and evaluate new hypotheses in the physiological development of diseases. This trend has been most notable in the analysis of drug therapy pharmacokinetics and in the study of metabolic disorders. This session therefore examines the application of models to medical practice, in both research and clinical practice, through all critical modeling steps from model derivation to patient specific parameter identification to the clinical validation.

The goal of research in this area is to unleash the potential of patient specific physiological or systems biology models to improve care. Given the growing potential for the clinical use of such model-based methods, it is a good time to examine them in greater detail. This session therefore examines the application of models to medical practice, in both research and clinical practice, through all critical modeling steps from model derivation to patient specific parameter identification to the clinical validation with a focus on the medical devices and systems used to provide that care.


This session thus takes a very clinical applications oriented approach, including examining problems that arise from different types of clinical data, as well as the impact on outcomes. Thus, fault diagnosis and fault-tolerant control are extremely important in this emerging area.

Lyapunov to Systems and Control Theory. Lyapunov will be celebrated in the th anniversary of his birth, years since the first publication of his seminal memoir "Obshchaya zadacha ob ustoichivosti dvizheniya" The general problem of the stability of motion printed in Russian by the Mathematical Society of Kharkov, and years since the appearance of the French translation of his work published in the Annales de la Faculte des Sciences de l'Universite de Toulouse.

This open track is dedicated to the impact of Lyapunov's ideas on the modern control theory. It offers an opportunity to the new generations of control scientists to discover the history of Lyapunov's framework and people that played a major role in its development. The topics of this open track cover, but are not limited to:. The track will discuss some fundamental issues on control of complex systems, including application of soft computing techniques, heuristic optimization, intelligent approaches, both for system modelling and control design, and potential applications to real-world systems.

Moreover, it has been found that the dynamical behavior of many complex systems can be properly described by fractional order models. Such tool has been extensively applied in many fields which has seen an overwhelming growth in the last decade. The special session is intended to review new developments based on the fractional differentiation, both on theoretical and application aspects.

This special session is a place for researchers and practitioners sharing ideas on the theories, applications, numerical methods and simulations of fractional calculus and fractional differential equations. Our interested topics are enumerated in the below and submissions in the relevant fields are welcome. The topics of interest include, but are not limited to:. Water systems are in the center of Human societies. Water resource is used for drinking water, irrigation, industry, transport.

It has to be valorized after its use thanks to waste treatment systems. In several parts of the world, the management of water networks will be impacted by climate change. The scarcity and the precious value of water will be increased in a close future. Hence, the efficient management of water networks is still an ongoing challenge for the Automatic Control community.

The design of efficient water management strategies can gather multidisciplinary activities with researchers from computer sciences machine learning, Artificial Intelligence and control theory. This track offers the opportunity to exchange ideas and interact between researchers and water managers. Topics of the track include but are no limited to:. This field has far wider scope than its first applications to aerospace engineering would suggest, and now embraces areas where the dynamical models describe chemical reactors process control , vehicles traffic flow control , wind generators and solar panels power systems control or might even describe virtual economic systems relating management decisions to economic consequences over time econometrics and resource economics.

The pressure to develop more efficient processes in order to meet the demands of next generation technology is leading to problems of increasing size and complexity. Despite the great progress in the development of numerical solution methods in the last decades, the increasing complexity of models and control tasks triggers a constant demand for more and more efficient methods. Another main challenge in the field of optimization-based controller design is to develop numerical algorithms that are sufficiently fast and accurate for the much-needed techno-logical developments, in numerous industrial sectors.

time series modelling: Topics by

This open invited track will bring together leading researchers who are working on optimization-based controller design, who combine expertise in theoretical, numerical and application oriented aspects of the field. The aim is to discuss some of the recent developments of the field and to stimulate future advances. Domestic environments are considered, which are in essence not shaped for robots and entail uncontrolled experimental conditions illumination changes, projected shadows, acoustic noise, etc.

The developed algorithms will be publicly demonstrated during live experiments on Pepper platforms. To help authors to prepare their papers and source code, the website mentioned here below provides a downloadable software development kit and simulator, as well as additional information. This session aims i to explore the possibilities of integration of the operational production plans, information flow and the financial SC, ii to offer new business models for supply chain financing, iii to determine financial incentives and operations decisions, iv to asset financial risks and their impacts on SC operations.

Main research themes: forecasting capital and liquidity needs, financial solutions for the SC financing platforms, SC finance, This event will also celebrate the 60'th birthday of IFAC. Indisputably, IFAC WC is the good event to collect international contributions in an historical open invited track dedicated to the challenges won in Aerospace engineering, thanks to Automatic control.

The scope of this open invited track is to capitalize and exchange the feedback gained from the past major developments and major programs dedicated to control systems in the field of Aeronautical and Astronautical engineering. The contributions aiming to propose the new challenges for the next decades based on the experience gained from the past will be also very well appreciated. Whereas computing for control is well-established domain, the converse : control for computing systems, is a novel approach, explored only in the recent years.

The aim of this open invited track is to propose a multi-disciplinary gathering around computing systems as a new application area for Control Theory, with challenges in modeling of these unfamiliar systems, and identification of the relevant control techniques for problems where automation has not been introduced yet. This also concerns any kind of supply chains. The aim of this track is to bring together leading experts on performance measurement and management for industrial systems to exchange ideas by making state-of-the-art analyses of their respective fields and presenting latest advances and results in their specific research domains.

Recent developments in the area of intelligent autonomous vehicles aim at performing complex navigation and motion tasks in cooperation with other vehicles, human operated systems, and its environment. This Open Invited Track is available to gather all scientific contributions to be presented at the World Congress in the dedicated Automotive Advanced Control Demonstrators sessions. This Open Invited Track aims at combining industrial and academic automotive demonstrators.

All scientific fields, methodologies and applicable technologies of automatic control are concerned, including:. Associated scientific demonstrator papers will have the same status as any other IFAC contribution. A specific international scientific committee will be in charge of evaluation of these contributions.

Papers that fall in the demonstrator category will be presented in dedicated sessions. Web site: www. Ensuring security and privacy of such systems from malicious attackers is critical. Recent surge of research activities in cyber-physical security of networked cyber-physical systems confirms the need and importance of such research. In the proposed invited session, we are soliciting contributions that investigate security and privacy of multi-agent networked cyber-physical systems from a variety of view-points, such as i cyber-physical security of networked control systems, ii game-theoretic security and privacy of networked systems, iii information-theoretic security and privacy of cyber-physical systems, as well as application-specific investigations in large-scale process control systems, smart grid and industrial automation for example.

Rapid advancements in sensing, computing, and communication technologies, and their increasing adoption, are opening up possibilities to develop deeper insights into traffic dynamics, and to estimate and control traffic in real-time.

The proper utilization of these new opportunities has the potential to improve the performance of traffic systems, reduce delays, minimize environmental impact, and increase safety. The objective of this open invited track is to gather representatives from academia to share and discuss ideas on the state of the art, novel theoretical approaches, and practical applications within the field of traffic modeling, estimation and control, especially in the context of emerging technologies.

Recent advances on RTO include conditions guaranteeing plant optimality upon convergence based on first-order modification of the optimization problem; conditions guaranteeing feasibility of the whole sequence of RTO iterates, and methods which allow combining data-driven approaches with existing first-principle models. While these developments aim at optimizing steady-state performance based on steady-state measurements, a complementary direction of researchproposes the use of transient measurements to tackle the same problem for instance via extremum-seeking concepts.

The track welcomes contributions on theory and application aspects of RTO. The track specifically aims to bring together researchers working on different RTO methods. This way, it shall provide a platform for presenting theoretical and application-oriented contributions, and it shall foster discussions on new ideas regarding the development of tailored RTO schemes for uncertain process systems. These advances enable real-world implementation of NMPC algorithms for control and coordination of multi-agent mechatronic systems.

The proposed open invited track focuses particularly on optimization-based predictive control of nonlinear systems collecting latest improvements on implementation and theory develop-ment with respect to mechatronic applications. Amongst others the intended contributions will present novel results on: generalized NMPC formulations combining path-following with force-feedback for robotic manipulators, the issue of stability in path-following NMPC, new updating techniques real-time iterations and sensitivities exploiting the geometry of mechatronic control problems, and new distrib-uted NMPC schemes targeting the coordination of multi-agent mechatronic systems.

The track specifi-cally aims to bring together researchers from academia and industry. This way, it shall provide a plat-form for presenting theoretical and application-oriented contributions, and it shall foster new ideas and collaborations regarding the tailored design of NMPC for mechatronic systems and motion control problems. These systems suggest however several challenges for the control research community, as they exhibit a large panoply of complex phenomena to be dealt with, like high frequency resonances, nonlinearities, noises in.

Modelling and control methodologies for these mechatronic systems are now well-established, but only few of them are benefiting from advanced methods high order dynamical models, robust or nonlinear control. The aim of this open invited track is to create the opportunity of bringing together control and micro-nano sciences communities around challenges and methodologies issued from different types of such systems. Papers presenting feasibility results of modelling and control methods on simulated models inspired from nanosciences and nanorobotics or even real-time applications are well suited for this open invited track.

Advances in controls are making wind turbines more efficient, more reliable, and more cost-effective. Wind turbines have evolved from passively controlled machines to actively controlled machines, and more recently, to distributed machines controlled collectively wind farms. With this open session, we invite researchers to present their latest results in wind energy control. The attendees of these sessions will learn how controls research can make substantial contributions to wind energy, and they will also get an overview of the latest developments and open issues.

Example contributions include: "smart" rotor control, lidar-based control, control of floating turbines, wind farm control, and active power control. Researches in this field are driven by the needs of many applicative fields such as robotics and aerospace. In this open invited track session, we will focus on the landing phase of aerial vehicles. This track will offer the opportunity to present some recent results on vision based control and their applications to the problem of landing softly and precisely. A huge number of active units including wind farms, solar farms, small distributed energy resources DERs , electric vehicles, energy storage systems and flexible loads are being integrated into power systems through power electronic converters.

This imposes great challenges to the stability, scalability, reliability, security and resiliency of future power systems. Hence, it is vital to develop appropriate control architecture and technologies so that all these different players are able to take part in the regulation of future power systems in an autonomous and responsible way.

This is also true for other smaller-scale power systems, e. The control of power electronic converters lies in the heart of these applications and many other energy-related systems. Specific difficulties encountered in the hospital sector are:. It may be induced naturally by the use of specific technological components composing the system or through the geometry of specific slender structures. Regardless of the origin of flexibility, such mechatronic systems have a range of deformations and constraints that depend on their topology and the nature of materials used. The combination of mass and stiffness, linked to an exchange between kinetic energy and elastic deformation energy, entails oscillating dynamic behavior.

Instrumentation, advanced control and optimal design methodologies can overcome these limitations in some cases. In addition, flexible structures can be manufactured as monolithic 2D parts as well as 3D parts, thanks to rapid advances on additive manufacturing. This technology simplifies the manufacturing procedures and reduces by the way the number of parts required for a given design. The aim of this open invited track is to create the opportunity of bringing together control and mechanical sciences communities around challenges and methodologies issued from such systems.

Papers presenting feasibility results of mechanical design and control methodologies on simulated models or real physical systems are well suited for this open invited track. Topics include but not limited to:. Thus, the optimal design and management of assembly systems is crucial to achieve production efficiency, product quality and customer satisfaction. A remarkable opportunity to target these goals and to develop a brand new generation of assembly systems is represented by the current trends in automation, information and communication technology and virtualization of manufacturing processes, known as Industry 4.

The implementation of Industry 4. These system elements communicate and cooperate with each other and with humans in real time, monitoring physical processes and creating a virtual copy of the physical assembly process to enable quick and decentralized decisions. Beneficial effects are a significant improvement of flexibility and speed of the whole assembly system, that enables to achieve more customized products, an efficient and scalable production and a high variance in production control.

Last but not least, proper optimization models, control algorithms, automation technologies and management methods have to be developed to allow the aforementioned smart cyber physical systems of self-optimization, self-configuration, self-diagnosis and intelligent support to workers in their increasingly complex tasks. This Open invited track seeks original manuscripts to investigate the design and management of "Assembly systems 4.

It is not enough to execute a pre-programmed action line. They must be able to adapt to changing environments, make their own decisions and in addition, they might have to socially fit into the human environment. They have to follow regulations developed originally for human beings.

It means that new problems of control are emerging and have to be solved. This Open invited track provides an opportunity to present and discuss research and development work in the hot area of intelligent autonomous systems. Researchers and practitioners in the field of land, air and marine robotics are brought together to discuss common problems of theoretical and practical applications, describe scientific and commercial applications and explore the possibilities for future research.

In the last decade, new results on tensor based algorithms have been achieved in applied mathematics.

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Additionally, numerical tools e. This open invited track welcomes all application and theory related submissions showing the use of tensor methods for modelling, data analysis, representation, reduction, supervisory controller design, fault diagnosis and reconfiguration in control engineering. The proposed Open Invited Track has the objective of collecting contributions related to optimization and control methods for the planning and management of smart grids that include renewable energy, storage systems, distributed generation, buildings with demand response capabilities, microgrids, etc.

The application and testing of the proposed approaches to real case studies and research infrastructures are encouraged. Fuzzy-model-based control provides a systematic and efficient approach to the analysis and control of nonlinear systems. It has been employed to deal with a wide range of nonlinear control systems such as continuous-time, discrete-time, hybrid, sampled-data, time-delay, switching, adaptive control systems and so on.

However, there is still room for improvement of the existing results in order to propose new techniques for control. This open invited track focuses mainly on the fuzzy-model-based control systems and analysis with emphasis on the theory and applications. The important problems and difficulties on the fuzzy-model-based control systems will be addressed, its concepts will be provided and methodologies will be proposed to handle nonlinear systems using fuzzy-model-based control approaches.

The session will cover classical Takagi-Sugeno and polynomial fuzzy models for stability, control and estimation, representing an important field of the TC 3. Consequently, model based diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to achieve correct fault diagnosis. In addition, in HDS, two types of faults may occur: parametric and discrete faults. Parametric faults occur as abnormal changes in the value of parameters describing the continuous dynamics while discrete faults are defined as unexpected, abnormal, changes in the system discrete mode.

Discrete event systems approaches deal with discrete faults; while continuous systems approaches deal with parametric faults. HDS approaches need to deal with both arametric and discrete faults, and this significantly increases the task of monitoring and diagnosing faults in the system. This open invited track aims at bringing together researchers working on the fault diagnosis of HDS.

Advanced Autopilot and Monitoring Systems

The track will provide the researchers with a forum for exchanging ideas, presenting recent advances and discussing challenges related to fault diagnosis of HDS. The list of topics includes but is not limited to: Maintenance strategies, maintenance services, PHM, event detection, diagnosis, prognosis, decision support, dependability, asset and maintenance management, e-maintenance and emerging technologies, reliability and statistical approaches in maintenance, maintenance within production, condition monitoring and sensors and life cycle management and sustainability.

Decision making models can apply optimization, simulation, or hybrid methods and approaches. At the same time, intelligent systems are composed by data acquisition, transformation, as well as communication systems embedded in technological devices.