Computer simulation is the process of mathematical modelling, performed on a computer, which is designed to predict the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict. Computer simulations have become a useful tool for the mathematical modeling of many natural systems in physics, astrophysics, climatology, chemistry, biology and manufacturing, as well as human systems in economics, psychology, social science, health care and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.
A hybrid system is a dynamical system that exhibits both continuous and discrete dynamic behavior – a system that can both flow and jump. Often, the term "hybrid dynamical system" is used, to distinguish over hybrid systems such as those that combine neural nets and fuzzy logic, or electrical and mechanical drivelines. A hybrid system has the benefit of encompassing a larger class of systems within its structure, allowing for more flexibility in modeling dynamic phenomena.
Systems Science, also referred to as systems research, or, simply, systems, is a transdisciplinary field that is concerned with understanding simple and complex systems in nature and society, for which leads to the advancements of formal, natural, social, and applied attributions throughout engineering, technology and science, itself.
A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression.
Kanianthra Mani Chandy is the Simon Ramo Professor of Computer Science at the California Institute of Technology (Caltech). He has been the Executive Officer of the Computer Science Department twice, and he has been a professor at Caltech since 1989. He also served as Chair of the Division of Engineering and Applied Science at the California Institute of Technology.
George Jiří Klir was a Czech-American computer scientist and professor of systems sciences at Binghamton University in Binghamton, New York.
DEVS, abbreviating Discrete Event System Specification, is a modular and hierarchical formalism for modeling and analyzing general systems that can be discrete event systems which might be described by state transition tables, and continuous state systems which might be described by differential equations, and hybrid continuous state and discrete event systems. DEVS is a timed event system.
FD-DEVS is a formalism for modeling and analyzing discrete event dynamic systems in both simulation and verification ways. FD-DEVS also provides modular and hierarchical modeling features which have been inherited from Classic DEVS.
The behavior of a given DEVS model is a set of sequences of timed events including null events, called event segments, which make the model move from one state to another within a set of legal states. To define it this way, the concept of a set of illegal state as well a set of legal states needs to be introduced.
A segment of a system variable in computing shows a homogenous status of system dynamics over a time period. Here, a homogenous status of a variable is a state which can be described by a set of coefficients of a formula. For example, of homogenous statuses, we can bring status of constant and linear. Mathematically, a segment is a function mapping from a set of times which can be defined by a real interval, to the set [Zeigler76], [ZPK00], [Hwang13]. A trajectory of a system variable is a sequence of segments concatenated. We call a trajectory constant if its concatenating segments are constant.
Modeling and simulation (M&S) is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making.
Dimitri Panteli Bertsekas is an applied mathematician, electrical engineer, and computer scientist, a McAfee Professor at the Department of Electrical Engineering and Computer Science in School of Engineering at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, and also a Fulton Professor of Computational Decision Making at Arizona State University, Tempe.
Mohammad Salameh Obaidat is a Jordanian American Academic/ Computer Engineer/computer Scientist and Founding Dean of College of Computing and Informatics at the University of Sharjah, UAE. He is the Past President & Chair of Board of Directors of and a Fellow of the Society for Modeling and Simulation International (SCS), and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to adaptive learning, pattern recognition and system simulation . He was born in Jordan to The Obaidat known Family. He is the cousin of the Former Prime Minister of Jordan, Ahmed Obaidat and received his M.S. and Ph.D. in computer engineering from the Ohio State University, Columbus, Ohio, USA. He is known for his contributions in the fields of cybersecurity, Biometrics-based Cybersecurity, wireless networks, modeling and simulation, AI/Data Analytics. He served as President and Char of Board of Directors of the Society for Modeling and Simulation International, SCS, a Tenured Professor & Chair of Department of Computer Science at Monmouth University, Tenured Professor & Chair of Department of computer and Information Sciences at Fordham University, USA, Dean of College of Engineering at Prince Sultan University, and Advisor to the President of Philadelphia University for Research, Development and IT. He has chaired numerous international conferences and has given numerous keynote speeches.
MS4 Modeling Environment is a discrete event simulation system (DEVS) software developed by MS4 Systems, Inc. It has been used in the modeling of complex systems and is also covered in a discrete event simulation and systems of systems modeling text.
Tuncer Ören is Turkish Canadian systems engineer. He is professor emeritus of Computer Science at the School of Electrical Engineering and Computer Science (EECS) of the University of Ottawa and Director of the he McLeod Modeling and Simulation Network (M&SNet) of the SCS. He is known for his contributions to the methodology of modelling and simulation.
Jerzy W. Rozenblit is a University Distinguished Professor and Raymond J. Oglethorpe Endowed Chair in the Department of Electrical and Computer Engineering (ECE) at the University of Arizona, in Tucson, Arizona. He also holds a joint appointment as Professor of Surgery at the University of Arizona College of Medicine. From 2003 to 2011 he served as the ECE Department Head. During his tenure at the University of Arizona, he established the Model-Based Design Laboratory with major projects in complex systems design hardware software codesign, modeling, and computer-aided minimally-invasive surgical training. He presently serves as Director of the Life-Critical Computing Systems Initiative, a research enterprise intended to improve the reliability and safety of technology in life-critical applications.
Gregory Zacharewicz is Full Professor at École des mines d'Alès in Alès, France. He recently joined the LGI2P laboratory in 2018 to develop research based on simulation. He was previously Associate Professor at the University of Bordeaux (2007-2018), where he conducted research on modeling, interoperability and simulation of business and social organization. He worked with Bruno Vallespir and Guy Doumeingts and under the direction of Claudia Frydman and Norbert Giambiasi.
Gabriel A. Wainer is a Canadian/Argentinian computer scientist known for his work in modeling and simulation. He is a Professor in the Department of Systems and Computer Engineering at Carleton University in Ottawa, Canada.
