Bondgraphs are a well-established technique for the modelling of complex engineering systems. The subject of this book is an integrated modelling and simulation of mechatronics systems in a visual computer environment. The modelling is based on system top-down and bottom-up approach. The mathematical models are generated in a form of differential-algebraic equations and solved using numerical and symbolic algebra methods. The authors carefully explain a systematic procedure for developing the models using simple visual commands and construct a bondgraph at every level of decomposition. The integrated approach they develop is applied to mechanical, electrical and control systems, multibody dynamics, and continuous systems. The book contains a powerful computer simulation package on the accompanying CD-ROM. The BondSim package supports top-down and bottom-up model development using component libraries.

This book presents a computer-aided approach to the design of mechatronic systems. Its subject is an integrated modeling and simulation in a visual computer environment. Since the first edition, the simulation software changed enormously, became more user-friendly and easier to use. Therefore, a second edition became necessary taking these improvements into account.

"Modelling and Analysis of Hybrid Supervisory Systems" introduces a modelling formalism that merges Petri nets, differential equation systems and object-oriented methods; a formalism that is adequate for modelling complex and large-scale systems. To guide the designer and conduct hybrid modelling, the book describes a method that starts from the requirements of a supervisory system and results in a proposal for such a system. The method is mainly based on UML diagrams, well-known tools in both academia and industry. In order to ensure that the supervisory system will behave as expected, a validation procedure that allows verification of the formal properties of the hybrid model is presented.

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2021), organized by National Institute of Technology, Silchar, Assam, India, during December 16–18, 2021. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

This book is focused on the attractive emerging field of micro-/nanorobot swarms (microswarms). It introduces fundamental understandings of various microswarms, including pattern generation, transformation, locomotion, and imaging. This book also demonstrates applications of micro-/nanorobot swarms in different fields, such as biomedical, environmental, and electrical applications. The detailed theoretical analysis and experimental demonstrations in this book provide readers ranging from students to researchers with a realistic picture of progress achieved in the field of micro-/nanorobot swarms.

This book is a collection of proceedings of the International Conference on Mechatronics and Intelligent Robotics (ICMIR2018), held in Kunming, China during May 19–20, 2018. It consists of 155 papers, which have been categorized into 6 different sections: Intelligent Systems, Robotics, Intelligent Sensors & Actuators, Mechatronics, Computational Vision and Machine Learning, and Soft Computing.

This book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and to bio-inspired robots. It provides a concise exploration of the essence of neural processing in simple animal brains and its adaptation and extrapolation to modeling, implementation, and realization of the analogous emergent features in artificial but bio-inspired robots: an emerging research field.

The purpose of this annual series, Applied and Computational Control, Signals, and Circuits, is to keep abreast of the fast-paced developments in computational mathematics and scientific computing and their increasing use by researchers and engineers in control, signals, and circuits. The series is dedicated to fostering effective communication between mathematicians, computer scientists, computational scientists, software engineers, theorists, and practicing engineers. This interdisciplinary scope is meant to blend areas of mathematics (such as linear algebra, operator theory, and certain branches of analysis) and computational mathematics (numerical linear algebra, numerical differential equations, large scale and parallel matrix computations, numerical optimization) with control and systems theory, signal and image processing, and circuit analysis and design. The disciplines mentioned above have long enjoyed a natural synergy. There are distinguished journals in the fields of control and systems the­ ory, as well as signal processing and circuit theory, which publish high quality papers on mathematical and engineering aspects of these areas; however, articles on their computational and applications aspects appear only sporadically. At the same time, there has been tremendous recent growth and development of computational mathematics, scientific comput­ ing, and mathematical software, and the resulting sophisticated techniques are being gradually adapted by engineers, software designers, and other scientists to the needs of those applied disciplines.

In the process industries there is an ongoing need for improvement of the opera­ tion of the process. One of the disciplines that will help the process engineer to achieve this is process control. There are many industrial automation systems to­ day that will offer powerful tools to meet the process control needs of industries with continuous, batch and discrete operations. Advanced control solutions sustain and improve the plant's competitiveness by ensuring: - safe operations - compliance with environmental regulations - effective use ofraw materials and energy - efficient production - manufacturing ofhigh quality products - flexible accommodation ofchanging process requirements This book was written from the perspective of introducing advanced control con­ cepts, which can help the engineer to reach the aforementioned goals. Many ad­ vanced control techniques have been implemented in industry in recent years, since hardware and software platforms are becoming increasingly powerful. Manufacturers ofprocess control equipment call this hardware and software envi­ ronment generally 'distributed control system'. The distributed control system equipment offers the engineer an excellent plat­ form for writing and implementing advanced control solutions. However, most large chemical and petrochemical manufacturers hire control specialists to imple­ ment these control solutions, while small manufacturers often lack the funds to hire these professionals. Therefore it is our experience that in the latter case, proc­ ess engineers often write the control programs required to improve process opera­ tion.

This book presents a selection of peer-reviewed research papers that were originally presented at the 11th China Conference on Command and Control (C2 2023), held in Beijing, China, on October 24–25, 2023. The book covers a wide range of topics related to intelligent command and control, including Theories, Modeling and Simulation, System Engineering Technology, 5G and Intelligent Command, Control and Management Integration Technology, Joint Cooperative Command and Control Organization Management, Agility in the Network Age, Cyberspace Situational Awareness Technology, CPS Parallel Management and Control, Unmanned Systems, Intelligent Military Camp Technology, Architecture Design for Intelligent Air Traffic Control Systems, Human–Machine Interaction and Virtual Reality, Swarm Intelligence and Cooperative Control, and Intelligent Gaming Theory and Technology.