We have compiled the list of Best Reference Books on Modeling and Simulation subject. These books are used by students of top universities, institutes and colleges. Here is the full list of best books on Modeling and Simulation along with reviews.
Kindly note that we have put a lot of effort into researching the best books on Modeling and Simulation subject and came out with a recommended list of best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on “Modeling and Simulation” as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
List of Modeling and Simulation Books with author’s names, publishers, and an unbiased review as well as links to the Amazon website to directly purchase these books.
 Modeling and Simulation
 Modelling and Analysis
 Modeling and Simulation in Process Engineering
 Systems Modeling and Simulation Theory
1. Modeling and Simulation
1. “Process Modelling” by M M Denn  
2. “Chemical Process Simulation” by Hussain Asghar
Book Review: This is a very good book for simulation techniques in the field of chemical engineering. This book also covers the concepts of flowsheeting, partitioning, equation set tearing, process unit networks, matrices sparcity maintenance, convergence promotion methods and data banks of properties. The book also takes a look at the background information on formulation of models, numerical methods, graph theory applications and many more.


3. “Computer Methods for Solving Dynamic Separation Problems” by C D Holland and A I Liapis
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“Computer Methods for Solving Dynamic Separation Problems” Book Review: The book deals with various aspects of separation process such as principles of separation processes, process modeling, process control. The book also talks about numerical methods involved in the dynamic behaviour of the separation process. The book is mainly targeted at students who are afresh to the subject or possess minimum knowledge regarding the same. The book can largely be classified into 3 parts. Part 1 deals with the Twopoint methods for solving coupled differential and algebraic equations. Multipoint methods are described largely in part 2 while selected methods for solving partial differential equations are given in part 3. The reader can find examples of the mathematical models involved throughout the text for better understanding.


4. “Fundamentals of Modelling Separation Processes” by C D Holland  
5. “System Simulation and Modeling” by Sengupta
“System Simulation and Modeling” Book Review: The book in discussion mainly talks about the components and processes of computerbased simulation and modelling. The book is of help to newcomers in the field of computer simulations. The reader can find the concepts being explained through various examples and applications from computer systems, statistics, manufacturing and insurance. It acts as a guide on how to build simulation models. Apart from that it also discusses how to evaluate the results and decision making from the results. Emphasis is laid on concepts revolving around ‘arena’, a simulation model. Details of other commercially available simulation software like ‘GPSS, SMSCRIPT, DYNAMO’ are also provided.


6. “Modeling, Simulation and Optimization of Adsorption Process” by Suman Dutta
“Modeling, Simulation and Optimization of Adsorption Process” Book Review: The book focuses mainly on the development of an adsorptionbased wastewater treatment process. Another key topic addressed is the removal of hexavalent chromium from tannery effluent and reactive dyes from textile effluent. Explanation of the concept of the method of optimization using response surface methodology is done using a software called ‘MINITAB’. The book also includes construction and utilization of neural network models. The neural network models were developed using another software called ‘MATLAB’. The readers will get acquainted with the concepts of the adsorption process.


7. “Polymer Processing: Modeling and Simulation” by Tim Osswald & Juan Pablo Hernandez
“Polymer Processing: Modeling and Simulation” Book Review: The book discusses both traditional and latest technologies associated with the plastics industry. The book also blends both engineering modelling aspects and computer simulation of realistic polymer processes. The book provides an overview of the polymer process to engineering students of both mechanical and chemical domains. It is written in a 3part fashion. The 1st and 2nd parts give an introduction to polymer processing to students of senior to graduate level courses. The third part specifically deals with the simulation in polymer processing for students of a graduate course. The reader can find many examples, illustrations and problems with solutions that aid in a better understanding.


8. “Discrete Event Modeling and Simulation Technologies” by Sarjoughian Cellier
“Discrete Event Modeling and Simulation Technologies” Book Review: The book is a collaboration of research findings in the fields of artificial intelligence, modelling and simulation. The book is a platform for scientists, academics and professionals to share their findings in their respective fields of study. The book covers a plethora of technologies in a wide variety of fields. The book inculcates concepts of technological developments in computing and its impacts on manufacturing, health organisation and commerce. The reader can find various research papers by scientists from each field.
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9. “Discreteevent Modeling and Simulation Theory and Applications” by Gabriel A Wainer
“Discreteevent Modeling and Simulation Theory and Applications” Book Review: The book in discussion introduces concepts of modeling discreteevent systems using the discretesystem event specification (DEVS) approach. The book covers a wide range of concepts pertaining to DEVS model development support and its interaction with other methodologies. The book starts by listing different forms of simulations supported by DEVS in detail and further talks about the realtime use of DEVS. A few other concepts discussed are the relationship between DEVS and graph transformation, the influence of DEVS variants on simulation performance, and interoperability and composability with emphasis on DEVS standardization. Apart from this the book also gives information on various extensions and abstractions of DEVS models. Theory and analysis behind realworld system identification is also explained well in detail. Numerous applications of DEVS such as optical networkonchip, construction/building design, process control, workflow systems, and environmental models are also included. The book gives the readers a broad overview of all the concepts in and around DEVS.


10. “Ullmann’s Modeling and Simulation” by Wileyvch
“Ullmann’s Modeling and Simulation” Book Review: The book serves as a handbook for engineers, scientists and computational chemists. The book provides information on mathematical fundamentals, complementary computational approaches of modeling and simulation in chemistry and engineering. As the detailed 40volume encyclopedia is unavailable to a large section, this handbook condenses all the key concepts required. The book starts by talking about mathematics in chemical engineering and proceeds further towards the concepts of model reactors and their design equations and mathematical modeling. The middle sections of the book focus on molecular modeling and molecular dynamics simulation. Design of experiments, modeling and simulation of microreactors are discussed towards the end of the book. A thorough index is provided for easier navigation by the readers.


11. “Simulation and Modelling Methodologies, Technologies and Applications: 60 (WIT Transactions on Modelling and Simulation)” by Honghuan Tan and G Lee
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“Simulation and Modelling Methodologies, Technologies and Applications: 60 (WIT Transactions on Modelling and Simulation)” Book Review: This book is designed for the researchers and professionals of Simulation and Modelling. The book contains the proceedings which took place in the International Conference on Simulation and Modelling Methodologies, Technologies and Applications in 2014, China. The book includes papers which were presented during the conference. The papers discuss the problems of Simulation and Modelling and also give solutions.


2. Modelling and Analysis
1. “Process Modeling and Model Analysis” by K M Hangos and I T Cameron
Book Review: This book provides a description about the various models that are used in the field of process engineering. The book also demonstrates the techniques of managing, processing and manufacturing. The book also analyses the interaction that takes place between the different aspects of processes. The book also demonstrates how the process engineers apply different models to perform feasibility analysis of process designs, assess its impact on environment and also detect the hazards that occur.


2. “Mathematical Modelling Techniques” by R Aris
Book Review: The book enables process design and also manages complex systems. The book also provides a nice way to the mathematical development of process models and also makes the readers understand about the analysis of those models. The book stresses on model goal importance and demonstrates key concepts like model verification, calibration and validation. The book also demonstrates process modeling techniques with the help of examples and advanced applications. The book also explains discrete, hybrid, hierarchical and empirical modeling techniques.


3. “Mathematical Modelling: A Chemical Engineers Perspective” by R Aris
Book Review: This book illustrates various modeling techniques that allow the mathematicians, physicists and scientists to form equations. The book also provides many rules that are useful in setting up models and solving mathematical problems. The book also deals with model comparison among themselves and has numerous examples. The book illustrates applications pertaining to convective diffusion, chemical kinetics, heat and mass transfer, modeling philosophy and many more. The book also describes the principles of mathematical modeling, modeling procedures and examples on engineering problems.


4. “Structural Analysis: Principles, Methods and Modelling” by Gianluca Ranzi and Raymond Ian Gilbert
“Structural Analysis: Principles, Methods and Modelling” Book Review: The focus of the book is on analysis of engineering structures. It serves the purpose of undergraduate students and working professionals. The contents of the book are divided into 4 parts. Initially, the book deals with fundamentals of the subject. Subsequent parts deal with classical analysis strategies of indeterminate structures. Computer applications and analysis software such as MATLAB are also studied. Other topics include finite element method, structural stability, and problems involving material nonlinearity. Readers can also find numerous worked out problems throughout the text.


5. “Statistical Modelling and Analysis Techniques” by Kiruthika and R Vishnu Vardhan
“Statistical Modelling and Analysis Techniques” Book Review: Various aspects of modeling are presented in this book. It can be accessed by students and researchers alike. Analytic aspects of random events along with multivariate data analysis is covered. Readers can also find a section devoted to Professor Ronald A. Fisher and his contributions to the field. Other topics included are data mining, inference for statistical models, sampling methods and reliability studies.


6. “Process Modelling and Model Analysis (Process Systems Engineering)” by Ian T Cameron and Katalin Hangos
“Process Modelling and Model Analysis (Process Systems Engineering)” Book Review: The book covers usage of models in process engineering. It targets students of the field along with practising engineers. Mathematical development of process models along with their analytical strategies are discussed. Aspects of modeling methodology such as model verification, calibration, and validation are emphasised. Modeling techniques including discrete, hybrid, hierarchical, and empirical modeling are also elucidated.


7. “Electrical Machines: Modelling and Analysis” by Mrittunjay Bhattacharyya
“Electrical Machines: Modelling and Analysis” Book Review: Various types of machines employed in modeling and analysis are highlighted. Students of undergraduate and postgraduate level courses in electrical engineering can refer to this book. The book begins by explaining the general concepts of energy conversion along with basic circuit elements. Further, the book talks about the energy storage in magnetic field and application of electrical circuits in electromechanical devices and threephase systems. Modern aspects of machines analysis such as transient and dynamic operation are also introduced. Readers can also find a plethora of worked out problems in the book.


8. “Power System Modelling and Fault Analysis: Theory and Practice” by Tleis
“Power System Modelling and Fault Analysis: Theory and Practice” Book Review: Various aspects of power systems such as modeling and fault analysis are covered in this text. It is of use to students as well as researchers. Design and operation efficiency of electrical power systems for safe and economic advantages is discussed. Recent technological advances such as wind turbine generators, fault current limiters, multiphase fault analysis, measurement of equipment parameters, probabilistic shortcircuit analysis and electrical interference are also included.


9. “Modelling and Analysis: An Introduction to System Performance Evaluation Methodology” by H Kobayashi  
10. “Enterprise Architecture at Work: Modelling, Communication and Analysis (The Enterprise Engineering Series)” by Marc Lankhorst
“Enterprise Architecture at Work: Modelling, Communication and Analysis (The Enterprise Engineering Series)” Book Review: Concepts of construction of integrated enterprise architecture models are presented in this text. Business architects along with computer science students can refer to this book. Concrete instruments for efficient architectural practice are described. Communication strategies and methodologies to be employed in dealing with the relevant stakeholders are also included. Various analysis methods that talk about cost and performance issues are discussed. Readers can also find many real life case studies in the text.


3. Modeling and Simulation in Process Engineering
1. “An Introduction to ContinuousTime Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)” by Vincenzo Capasso and David Bakstein
“An Introduction to ContinuousTime Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)” Book Review:This book is designed for undergraduate and postgraduate students, pure and applied mathematicians, and researchers and practitioners in mathematical finance, biomathematics, biotechnology, and engineering. This book contains introduction to the theory of continuoustime stochastic processes, stochastic integrals, and stochastic differential equations. Key topics include: Markov processes Stochastic differential equations Arbitragefree markets and financial derivatives Insurance risk Population dynamics, and epidemics Agentbased models. In addition Infinitely divisible distributions, Random measures, Levy processes, Fractional Brownian motion, Ergodic theory, KarhunenLoeve expansion, Additional applications, Additional exercises, Smoluchowski approximation of Langevin systems, An Introduction to ContinuousTime Stochastic Processes concepts were added.


2. “Thermo–Mechanical Industrial Processes: Modeling and Numerical Simulation (Numerical Methods in Engineering)” by Jean–Michel Bergheau
“Thermo–Mechanical Industrial Processes: Modeling and Numerical Simulation (Numerical Methods in Engineering)” Book Review:This book is designed for working in industry and those studying the numerical methods applied to multiphysics problems encountered in manufacturing processes.This book gathers a state of the art on how to simulate industrial processes, what data are needed and what numerical simulation can bring. The topics covered are Assembling processes such as welding and friction stir welding, material removal processes, elaboration processes of composite structures, sintering processes, surfacefinishing techniques, and thermochemical treatments.


3. “Process Modeling, Simulation, and Environmental Applications in Chemical Engineering” by Bharat A Bhanvase and Rajendra P Ugwekar
“Process Modeling, Simulation, and Environmental Applications in Chemical Engineering” Book Review:This book is designed for researchers, scientists, industry practitioners, as well as upperlevel students.This book gives an overview of various topics on chemical engineering and technology is presented on modeling and simulation, material synthesis, wastewater treatment, analytical techniques, and microreactors. The research presented here can be applied to technology in food, paper and pulp, polymers, petrochemicals, surface coatings, oil technology aspects, among other uses. The book is divided into five sections:modeling and simulation, environmental applications, materials and applications, processes and applications and analytical methods. The topics covered are modeling and simulation of chemical processes, process integration and intensification, separation processes, advances in unit operations and processes, chemical reaction engineering, fuel and energy, advanced materials, CFD and transport processes, wastewater treatment.


4. “Bounded Noises in Physics, Biology, and Engineering (Modeling and Simulation in Science, Engineering and Technology)” by Alberto d’Onofrio
“Bounded Noises in Physics, Biology, and Engineering (Modeling and Simulation in Science, Engineering and Technology)” Book Review: This book is designed for applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. This book presents the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics.This book is divided into four parts:The first part presents the main kinds of bounded noises and their applications in theoretical physics. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded stochastic processes in biology, one of the major areas of potential applications of this subject.The final part concerns the application of bounded stochastic processes in mechanical and structural engineering, the area where the renewed interest for nonGaussian bounded noises started.


5. “Modeling and Simulation of Heterogeneous Catalytic Processes (Advances in Chemical Engineering)” by Anthony Dixon
“Modeling and Simulation of Heterogeneous Catalytic Processes (Advances in Chemical Engineering)” Book Review:This book presents reviews of the stateoftheart in modeling of heterogeneous catalytic reactors and processes.


6. “Process Dynamics: Modeling, Analysis and Simulation (PrenticeHall International Series in the Physical and Chemical Engineering Sciences)” by B Wayne Bequette
“Process Dynamics: Modeling, Analysis and Simulation (PrenticeHall International Series in the Physical and Chemical Engineering Sciences)” Book Review: This book is designed for chemical engineers, from Ph.D. professionals to nondegreed technicians and students.This book presents the introduction to process modeling and dynamics using the powerful MATLAB and SIMULINK analysis tools.The topics covered are rationale for process modeling, algebraic equations, numerical integration, linear systems analysis, linear nth Order ODE models, Laplace transforms and transfer function analysis, phase plane analysis, quadratic maps bifurcation behavior, and analysis of chaotic behavior via Lorenz equations.


7. “Complex Flows in Industrial Processes (Modeling and Simulation in Science, Engineering and Technology)” by Antonio Fasano  
8. “Stochastic Modeling of Microstructures (Modeling and Simulation in Science, Engineering and Technology)” by Kazimierz Sobczyk and David J Kirkner  
9. “Process Simulation and Parametric Modeling for Strategic Project Management (SpringerBriefs in Electrical and Computer Engineering)” by Peter J Morales and Dennis Anderson
“Process Simulation and Parametric Modeling for Strategic Project Management (SpringerBriefs in Electrical and Computer Engineering)” Book Review: This book is designed for IT Graduate Students, CIOs, CTOs and Software Development Managers.This book helps to plan and access risks in the early planning of a project.


10. “Chromatographic Processes: Modeling, Simulation, and Design (Cambridge Series in Chemical Engineering)” by RogerMarc Nicoud
“Chromatographic Processes: Modeling, Simulation, and Design (Cambridge Series in Chemical Engineering)” Book Review:This book is designed for practitioners and researchers working in chemical, biochemical, food and pharmaceutical engineering.It addresses all aspects of the design, modeling and simulation of chromatographic processes, this resultoriented primer provides a practical guide to all the necessary approaches, methodologies and tools.This book presents most simple and complex situations, including multicomponent systems, nonuniform velocity profiles, bed instability, particle size distributions, and the influence of complex environments on chromatographic process design. In addition to covering classical approaches, it introduces efficient tools for investigating chromatographic processes, such as the ‘RussianLego’ approach for linear systems, phenomenological models, and specific shortcuts for deriving the key properties of industrial processes. It has realworld problems and applications, stepby step modeling design guidelines, and detailed exercises for selfassessment.


4. Systems Modeling and Simulation Theory
1. “System Modelling and Response” by Deoblin E O  
2. “Modern Control Engineering” by Ogata K
“Modern Control Engineering” Book Review: This book discusses the analysis and design of continuoustime control systems. The fundamental principles are stressed, and the content is structured in a way that leads to a gradual development of control theory. There are a lot of examples and solved problems in this book.


3. “System Simulation with Digital Computer” by Narasingh Deo  
4. “Simulation Modelling and Analysis” by Law A M and Kelton W D  
5. “Theory of Modeling and Simulation, Second Edition” by Bernard P Zeigler and Herbert Praehofer
“Theory of Modeling and Simulation, Second Edition” Book Review: This book deals with a rigorous mathematical foundation for modelling and computer simulation. It contains a detailed modelling and simulation system that integrates numerous simulation approaches. Model formulation, simulation model implementation, and the model building process, including the core activities of model abstraction and model simplification, are all covered in this book.


6. “Cable System Transients: Theory, Modeling and Simulation” by Akihiro Ametani and Teruo Ohno  
7. “Modeling and Simulation of Discrete Event Systems” by Byoung Kyu Choi and DongHun Kang
“Modeling and Simulation of Discrete Event Systems” Book Review: This book examines a formal model in the form of an event graph, also known as an ACD or a state graph. An event graph, ACD, or state graph is a formal model. It contains a variety of modelling models and examples that can be used to build a complex reallife model. This book will be useful for undergraduate and graduate students of simulation/industrial engineering and computer science.


8. “Simulation Modeling and Analysis (McGrawHill Series in Industrial Engineering and Management)” by Averill Law
“Simulation Modeling and Analysis (McGrawHill Series in Industrial Engineering and Management)” Book Review: This book covers many of the essential aspects of a simulation analysis. It makes extensive use of intuition as well as a variety of statistics, examples, and problems. As part of a general course in operations research or management science, the book also includes an introduction to simulation. This book will be beneficial for beginninggraduatestudent level in engineering, manufacturing, business or computer science.


9. “Dynamic Systems: Modeling, Simulation, and Control” by Craig A Kluever
“Dynamic Systems: Modeling, Simulation, and Control” Book Review: This book covers important topics including physical engineering device analysis, design, and control. It is often made up of mechanical, electrical, and fluid subsystem components that interact. Mathematical modelling, systemresponse analysis, and an introduction to feedback control systems are among the main topics discussed in this book.


10. “Modeling and Simulation” by Hartmut Bossel
“Modeling and Simulation” Book Review: This book examines a formal model in the form of an event graph, also known as an ACD or a state graph. An event graph, ACD, or state graph is a formal model. It contains a variety of modelling models and examples that can be used to build a complex reallife model. This book will be useful for undergraduate and graduate students of simulation/industrial engineering and computer science.


11. “Model Design and Simulation Analysis” by Syng Yup Ohn and Sung Do Chi
“Model Design and Simulation Analysis” Book Review: This book discusses the model design and simulation analysis. It is a compilation of the referred proceedings of the 15th International Conference on Systems Simulation, Asia Simulation 2015. The book contains 11 revised full papers. The papers are selected carefully from 126 submissions. It is organised in such a way that readers can read topics from the given sections.


12. “Modeling and Simulation in Industrial Engineering (Management and Industrial Engineering)” by Mangey Ram and J Paulo Davim
“Modeling and Simulation in Industrial Engineering (Management and Industrial Engineering)” Book Review: This book provides the latest developments in the modeling and simulation in industrial engineering. The book covers decision and performance analysis. It also covers industrial control systems. The book includes case studies in industry and service. It also discusses case studies in engineering economy and cost estimation.


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