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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.
Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems
Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dy...
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...
Methods of Developing Sliding Mode Controllers
Comprehensive, fast-access guide to different types of sliding mode controllers and their programming and simulation in MATLAB and Simulink Methods of Developing Sliding Mode Controllers delivers a practical review of sliding mode controllers (SMCs) and their challenges with coverage of related theorems, stability analysis, and how to program and simulate SMCs in MATLAB and Simulink. The book details the latest methods of their development and their applications in the automotive, aerospace, and robotics industries. Initial chapters detail a range of different types of controllers. A combination of sliding and backstepping control is introduced and simulated and the phenomenon of chattering ...
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.
