Modelling and Simulation in Science, Technology and Engineering Mathematics Proceedings of the International Conference on Modelling and Simulation (MS-17) / [electronic resource] :
edited by Surajit Chattopadhyay, Tamal Roy, Samarjit Sengupta, Christian Berger-Vachon.
- 1st ed. 2019.
- XIV, 693 p. 403 illus., 242 illus. in color. online resource.
- Advances in Intelligent Systems and Computing, 749 2194-5365 ; .
- Advances in Intelligent Systems and Computing, 749 .
Modelling and Simulation in Physics -- Modelling and Simulation in Mathematics -- Internet of Things -- Control Systems -- Drives & Automation -- Power System -- Sensors, Instrumentation & Measurements -- Power Electronics -- Energy -- Solar energy -- Unmanned Aerial Vehicles -- Robotics -- Computation, Modelling & Simulation -- General Applications of M&S. Fuzzy Sets and Systems -- Computational Intelligence -- Decision Making and Expert Systems -- Operational Research -- Modelling and Simulation Applications in Health and Safety -- Case Studies and Experimental Results.
This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
9783319748085
10.1007/978-3-319-74808-5 doi
Computer simulation.
Mathematical models.
Mathematical physics.
Engineering mathematics.
Engineering—Data processing.
Computer Modelling.
Mathematical Modeling and Industrial Mathematics.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
QA76.9.C65
003.3
Modelling and Simulation in Physics -- Modelling and Simulation in Mathematics -- Internet of Things -- Control Systems -- Drives & Automation -- Power System -- Sensors, Instrumentation & Measurements -- Power Electronics -- Energy -- Solar energy -- Unmanned Aerial Vehicles -- Robotics -- Computation, Modelling & Simulation -- General Applications of M&S. Fuzzy Sets and Systems -- Computational Intelligence -- Decision Making and Expert Systems -- Operational Research -- Modelling and Simulation Applications in Health and Safety -- Case Studies and Experimental Results.
This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
9783319748085
10.1007/978-3-319-74808-5 doi
Computer simulation.
Mathematical models.
Mathematical physics.
Engineering mathematics.
Engineering—Data processing.
Computer Modelling.
Mathematical Modeling and Industrial Mathematics.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
QA76.9.C65
003.3