Advances in Theory and Applications : System Identification and Adaptive Control, Pt 3 of 3

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Latest publications A. Ilchmann, L.

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Leben, J. Witschel, K. Ilchmann, T. Berger, A.

Flight Dynamics and Hybrid Adaptive Control of Damaged Aircraft

Ilchmann and T. Selig, C. Control and Opt. Biegler, S. Campbell, V. Hackl, N. Hopfe, A. Ilchmann, M. Mueller and S. Ilchmann, H. Logemann and E.

Reference-shaping adaptive control by using gradient descent optimizers

Ilchmann and E. Ilchmann and M. Ilchmann and H. Ilchmann, E. Ryan and P. Ryan Asymptotic tracking with prescribed transient behaviour for linear systems Int. Ryan and S. Ilchmann and S. Ryan and C. Thuto and S. Georgieva and A. Ashmann and A. French, A. 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.

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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.

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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.

  • Description.
  • Nobody But Us.
  • CMOS cellular receiver front-ends : from specification to realization;
  • 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.

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    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.

    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. The proper exchange of data between the operational planning and intelligent systems allows for the emergence of adaptive, agile and resilient supply chains.

    The session will cover the technology-based integration of different supply chain tasks, such as: production planning and scheduling, transportation and logistics planning and scheduling, inventory planning, manufacturing systems as well as coupled services and technologies which can lead to improved supply chains.

    Track topics: The track chairs invite scientists, engineers and decision makers from government, industry and academia to contribute with theoretical and applied research papers. The aim of this session is to attract high-quality papers in areas including but not limited to the following topics: Inventory control, production planning and scheduling; Supply chains and networks; Simulation technologies inmanufacturing; Operations Research in manufacturing; Modeling, simulation, control and monitoring of manufacturing processes; Monitoring, diagnosis and maintenance of manufacturing systems; Smart manufacturing systems; Maintainability, reliability, safety and dependability of production systems.

    Special attention willbe directed towards practical relevance and approaches that can foster innovation in manufacturing supply chains. Many core problems in these areas are still open, and considerable research work is required to address and solve them. The complexity of the problems at hand requires a multifaceted approach to system analysis and design to exploit the use of methods and tools from dynamical systems theory, automatic control, networked systems, identification and estimation, computer vision, communications, sensing and measurements to yield practical systems capable of executing complex scientific and commercial missions at sea in an efficient and reliable manner.

    For these reasons, there is considerable interest in bringing together the marine robotics community and specialists on a number of complementary areas includingautomatic control and related topics to foster new synergies and promote joint research activities aimed at solving practical problems with far reaching implications on scientific, commercial, and societal marine-related issues. It is against this backdrop of ideas that we submit an invited open track proposal entitled Marine and Maritime Robotics: Innovation and Challenges, aimed atbringing attention to this exciting field of research and promoting the cross fertilization of ideas required to bring new theoretical and practical advances to bear on the development of innovative systems.

    Recent incidents with essential large-scale services like electric power grids, transportation systems, communication networks, oil and gas pipelines, water distribution systems show that the negative economic and humanitarian impact of such attacks can be considerable.

    Modern SCADA systems can be attacked externally and internally at different levels: communication network, supervisory control level, and also technical physical processes by using physical breach. The cyber-physical attacks, i. In the framework of this track, a special attention will be paid to statistical detection methods and machine learning methods for attack detection.

    These efforts are motivated by the availability of vast data sets, emerging from large networks of sensors and data collection. In this special session, we focus on data-driven methods that exploit tools from automatic control and multivariate data modelling in order to discover systematic structures in the spatial domain, and temporal domain. The discovered structures are then used to estimate and control the system. Key characteristics of Systems Engineering processes are that they are collaborative, iterative, model-based. These processes may concern or be adapted to the design of systems with various levels of complexity including Systems of Systems SoS.

    It is then called SoSE. SE and SoSE rocesses, methods and tools are either overlapped or interfaced with other domains such as project management or dependability. The aim of this open invited track is to gatherinternational state-of-the-art research results and case studies, and to explore new Systems Engineering and System of Systems Engineering directions and emerging trends.

    We invite authors to submit high quality contributions describing significant, original, and unpublished results. The main goals of this OIT are:. It has been accepted by research community that the effects of various sources of uncertainty should be considered during both supply chain design, planning and execution control.