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Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to solve various control design and observer design problems, nonlinear systems, interconnected systems, and singular systems. Featuring coverage on a broad range of topics, such as adaptive control, artificial neural network, and synchronization, this book is an important resource for engineers, professionals, and researchers interested in applying new computational and mathematical tools for solving the complicated problems of mathematical modeling, simulation, and control.
This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.
The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.
Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and Development is a vital scholarly reference source that examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Examining topics such as computational intelligence, multi-agent systems, and fuzzy logic, this publication is a valuable resource for academicians, scientists, researchers, and individuals interested in artificial intelligence developments.
Agriculture has been an enduring human tradition key to survival and civilization. However, after the advent of industrialization and agricultural growth, the industry has been met with several challenges including pollution, land use, and food insecurity. With the agricultural industry contributing to pollution and emissions, many have found it imperative to investigate the causes and seek out solutions. The Research Anthology on Strategies for Achieving Agricultural Sustainability discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. It analyzes the impact of agricultural pollution and food insecurity on a global scale, but also proposes solutions to promote agricultural sustainability. Covering topics such as bio-farming, smart farming, and population growth, this book is an indispensable resource for government officials, agricultural scientists, farmers, students and professors of higher education, activist groups, researchers, and academicians.
The Sustainable Development Goals are an ongoing focus around the world as the needs of people and society continue to evolve at a rapid pace. The need for a more sustainable future has never been more pressing as issues such as climate change, natural disasters, and overpopulation present unique difficulties for the decision makers of the world. In order for them to make the best decisions regarding current priorities and strategies, up-to-date and detailed research regarding where we currently are as a society, where we want to be, and the many challenges that stand in the way is crucial. The Research Anthology on Measuring and Achieving Sustainable Development Goals is a comprehensive assessment of the current innovative research and discussions on the challenges to achieving the UN’s Sustainable Development Goals and the measures that have already been put in place to achieve them. Covering topics such as green consumer behavior and peace promotion, this book is vital for academicians, scientists, researchers, students, postdoctoral students, specialists, practitioners, businesses, governmental institutions, decision makers, environmentalists, and policymakers.
Researchers working on natural resource management issues in human-influenced landscapes need to be able to elicit both biophysical and socio-economic information and explore the interactions between these realms to identify appropriate management options. Biophysical scientists are increasingly interested in researching natural resource management. This, however, requires a sensitivity to the socio-ecological dimensions in a landscape and at least a basic understanding of how to incorporate such in the research designing phase. Natural Resource Management Issues in Human-Influenced Landscapes documents the firsthand research designing experience of prolific researchers for the knowledge of budding researchers, which is not usually shared in journal publications. The chapters showcase cases narrated by the authors about their field experiences and cross-country comparisons. Covering topics such as biodiversity, plant genetic resources, and sustainable production, this premier reference source is an essential resource for ecologists, government officials, students and educators of higher education, librarians, researchers, and academicians.