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Dynamic System Modelling and Analysis with MATLAB and Python
Dynamic System Modeling & Analysis with MATLAB & Python A robust introduction to the advanced programming techniques and skills needed for control engineering In Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers, accomplished control engineer Dr. Jongrae Kim delivers an insightful and concise introduction to the advanced programming skills required by control engineers. The book discusses dynamic systems used by satellites, aircraft, autonomous robots, and biomolecular networks. Throughout the text, MATLAB and Python are used to consider various dynamic modeling theories and examples. The author covers a range of control topics, including attitude dynamics, attit...
The Impact of Automatic Control Research on Industrial Innovation
The Impact of Automatic Control Research on Industrial Innovation Bring together the theory and practice of control research with this innovative overview Automatic control research focuses on subjects pertaining to the theory and practice of automation science and technology subjects such as industrial automation, robotics, and human???machine interaction. With each passing year, these subjects become more relevant to researchers, policymakers, industrialists, and workers alike. The work of academic control researchers, however, is often distant from the perspectives of industry practitioners, creating the potential for insights to be lost on both sides. The Impact of Automatic Control Rese...
Control Theory and Systems Biology
A survey of how engineering techniques from control and systems theory can be used to help biologists understand the behavior of cellular systems.
Delivering Therapeutics to the Inner Ear
Topic Editor Benjamin Shapiro is President and co-founder of Otomagnetics. Topic Editor Sylvain Celanire is a co-Founder and Chief Executive Officer of PRAGMA Therapeutics. All other Topic Editors declare no competing commercial interests with regards to the Research Topic subject.
Feedback Control in Systems Biology
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty-such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in systems biology over the past decade has shown that
Advanced Control of Power Converters
Advanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods developed for power converters: nonlinear control methods such as sliding mode control, Lyapunov-function-based control, and model predictive control. Readers will learn about the design of each control method, and simulation case studies and results will be presented and discussed to point out the behavior of each control method in different applications. In this way, readers wishing to learn these control me...
Logical Modeling of Cellular Processes: From Software Development to Network Dynamics
Mathematical models have become invaluable tools for understanding the intricate dynamic behavior of complex biochemical and biological systems. Among computational strategies, logical modeling has been recently gaining interest as an alternative approach to address network dynamics. Due to its advantages, including scalability and independence of kinetic parameters, the logical modeling framework is becoming increasingly popular to study the dynamics of highly interconnected systems, such as cell cycle progression, T cell differentiation and gene regulation. Novel tools and standards have been developed to increase the interoperability of logical models, which can now be employ to respond a variety of biological questions. This Research Topic brings together the most recent and cutting-edge approaches in the area of logical modeling including, among others, novel biological applications, software development and model analysis techniques.
Protein Phosphorylation in Health and Disease
Protein phosphorylation is one of the most abundant reversible post-translational modifications in eukaryotes. It is involved in virtually all cellular processes by regulating protein function, localization and stability and by mediating protein-protein interactions. Furthermore, aberrant protein phosphorylation is implicated in the onset and progression of human diseases such as cancer and neurodegenerative disorders. In the last years, tens of thousands of in vivo phosphorylation events have been identified by large-scale quantitative phospho-proteomics experiment suggesting that a large fraction of the proteome might be regulated by phosphorylation. This data explosion is increasingly ena...
Magnetic Resonance Imaging of Healthy and Diseased Brain Networks
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the human brain (i.e., human connectomics). Over the past few years, researchers have demonstrated that by combining a variety of different neuroimaging technologies (e.g., structural MRI, diffusion MRI and functional MRI) with sophisticated analytic strategies such as graph theory, it is possible to noninvasively map the patterns of structural and functional connectivity of human whole-brain networks. With these novel approaches, many studies have shown that human brain networks have nonrandom properties such as modularity, small-worldness and highly connected hubs. Importantly, these quantifiable...
