Modeling and Control of Robotic Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1599
Special Issue Editors
Interests: industrial automation and control; industrial informatics; modeling; simulation and optimization; cyber–physical systems; intelligent manufacturing systems; machine learning; system engineering; software engineering
2. Institute of Electronics, Bulgarian Academy of Sciences, 72 Tzarigradsko shossee blvd., 1784 Sofia, Bulgaria
Interests: industrial automation; analytical and empirical modeling; simulation and optimization; intelligent methods for data analysis; industrial process control; quality control; statistics; experimental design; neural networks; robust engineering; the IoT and WSN; smart cities; electron beam technologies; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Robotic systems are complex dynamic systems, and their modeling as well as simulation are fundamental for solving many tasks related to the phases of their design, verification, testing, implementation, planning, control, maintenance, security, and evaluation. All of this poses great challenges to the development of methods and tools for the modeling and simulation of robotic systems. Addressing these challenges is related to the creation of modern mathematical foundations for modeling and simulation, covering different aspects and perspectives of robotic systems of different types in addition to supporting the development and operation of efficient, flexible, resilient, secure, precise, accurate, autonomous, and interoperable robotics systems.
This Special Issue collects papers with the aim of presenting some of the latest achievements in the fields of the development, analysis, and application of advanced mathematical methods for the modeling and simulation of various types of robotics systems—manipulation, mobile, data acquisition, and control robotic systems. Particularly relevant are papers that present hybrid solutions in the fields of building the theoretical foundations and practical implementations of cyber–physical systems (such as robotic systems), as well as the related digital twins. Preference will be given to papers that offer sustainable and efficient solutions in the fields of the modeling and simulation of various aspects of robotics systems as well as their elements and that can be used in different phases of their life cycle, such as analysis, design, implementation, operation, and maintenance.
Dr. Idilia Batchkova
Dr. Elena Koleva
Guest Editors
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Keywords
- mathematical modeling and simulation
- cyber–physical systems
- digital twins
- machine learning
- knowledge modeling
- autonomous systems
- formal methods
- formal verification and validation
- fuzzy modeling
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