Konferenzen  >  Mathematik  >  Systemtheorie, Regelung und Automatisierung

American Mathematical Society

This 2-day special session will be dedicated to a range of mathematical problems related to motion planning algorithms and their properties. A central role is played by the notion of topological complexity (TC), which is a homotopy invariant depending only on the configuration space of the robot that can be studied using diverse tools from a variety of fields, such as geometry, topology, algebra, combinatorics, etc. This session will include talks on a variety of topics from algebraic topology, geometric topology, and topological robotics, though most will focus on (sequential) topological complexity, Lusternik–Schnirelmann category, robot motion planning problems, and homotopy invariants related to (or analogous to) sectional category. The session aims to bring together scientists from all over the world working on different aspects of motion planning and TC and foster collaboration among them, expose graduate students and junior colleagues to these rich and fascinating areas of research, and identify directions for future work and interaction in these areas.

Event Organizer;     Email: ekanshjauhari@ufl.edu

topological complexity, LS-category, sectional category, motion planning, robotics, applied algebraic topology

Geometrie und Topologie,    Algebra

University of Versailles

Control, Mechatronics and Automation is an interdisciplinary field that combines control engineering, mechanical engineering, and electronic engineering. In recent years, advancements in artificial intelligence, internet of things (IoT), and big data analytics have been driving the development of this field. Control, Mechatronics and Automation has become increasingly important in modern manufacturing and production systems, as well as in robotics, aerospace, transportation, and medical industries. The field is rapidly evolving with new advances in sensors, actuators, control algorithms, and communication technologies. Since its inception in 2013, ICCMA has served as a platform for international academic exchange, with previous editions held in Sydney (Australia), Dubai (UAE), Barcelona (Spain), Edmonton (Canada), Tokyo (Japan), Moscow (Russia), and Luxembourg. In 2022, ICCMA was held in a hybrid format with both online and onsite participation still in Luxembourg. In 2023, ICCMA was held in Norway and achieved a great success, followed by ICCAM 2024 in London，UK.

Tel.: [(00) 1 6193091099];     Email: emmaawang2019@sina.com

Track 1: Control Theory and Applications: Adaptive control; Co-operative control; Delay systems; Discrete event systems; Fuzzy systems; Nonlinear control for motion systems; Robust control. Track 2: Mechatronics and Robotics: Compliant mechanism; Flexible Manufacturing Technology & System; Flexible robotics, Soft robotics; High-speed/precision machining; Laser Processing Technology; Mechatronic system design; Nano-scale automation and assembly; Precision Manufacturing & Measurement; Precision Mechanics & Mechatronics; Precision mechanism; Precision motion control; Smart automation. Track 3: Industrial Automation and Process Control: CAD/CAM Integration Technology; Complex mechanical-electro-liquid System; Factory modeling and simulation; Instrumentation systems; Mechanical Power Engineering; Mechanism and Machine Science; Network-based systems; Networked control systems; Powder Metallurgy/Casting/Sintering/Thermal Engineering/Welding; Process automation; Process control; Quality & Reliability Engineering.

Politecnico di Milano, Italy

The conference provides a platform for researchers, practitioners, and industry experts to exchange ideas and present their latest research findings on various topics, including fault diagnosis, fault-tolerant control, risk analysis, safety management, system reliability assessment, and maintenance optimization. The conference will facilitate the exchange of ideas and foster the development of new techniques and methodologies to improve system reliability and safety, ultimately contributing to the creation of a safer and more reliable world. System reliability and safety are crucial fields that have received increasing attention in recent years as technology becomes more integrated into our daily lives. The development and integration of complex systems into various applications have made it essential to ensure their reliability and safety to prevent potential disasters. Various techniques and methodologies have been developed to assess and improve system reliability and safety, such as fault diagnosis, fault-tolerant control, risk analysis, and safety management. The International Conference on System Reliability and Safety (ICSRS) is an annual event that focuses on this important theme. ICSRS has been held in several major cities including Rome, Paris, Milan, Barcelona, and Venice.

Email: saraxc17@163.com

Track 1: System Design and Modeling Based on Reliability Track Chair: Data-driven reliability model design; Design Optimization Using R&M Techniques; Discrete Event Modeling & Simulation; Condition monitoring, diagnostics and prognostics; Maintenance support modeling and simulation; Reliability modeling and validation; Reliability requirement and growth models; Accelerated Life Testing; Maintenance Models and Methodologies; Physical Reliability Models; Reliability analysis and optimization; Reliability Growth Analysis; Reliability measurement, estimation, and predication; Statistical analysis of uncertainty; Non-destructive evaluations; Reliability-Based Design and Regulations; Reliability-Based Optimization and ControlReliability Theory; Structural Health Monitoring; Stochastic Fracture Mechanics; System ReliabilityTransportation Systems; Mechanical fatigue damage. Track 2: Machine Learning and Data Analysis in Reliable Engineering Track Chair: Fault Tree Analysis; Reliability testing and statistics; Big-Data Supported Reliability Assessment; Fault tolerance and diagnosis; Fault Tolerance and Safety Critical Systems; Life Data Analysis; Machine learning related to reliability; Probabilistic Materials Analysis; Probabilistic Risk Analysis; Probability and Statistics (theory and applications); Damage Analysis and Assessment; Data-Driven Modeling; Applied Probability; Bayesian Methods; Computational Methods; Fuzzy and Interval Analysis; Machine Learning-Based Risk Analysis; Warranty Data Analysis and Management; Uncertainty Quantification and Analysis; Physics of Failure.

Alkmene Verlag GmbH

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