04112nam a22004094u 4500 10.1002/9781119847533 Wiley 20251030120318.0 cr nn 008mam|a 240923t2024||||xxu fs| |0|| 0|eng|| 9781119847533 electronic 10.1002/9781119847533 doi eng Linear and Nonlinear System Modeling [electronic resource] Edited by Tamal Roy, Suman Lata Tripathi, Souvik Ganguli. 1 Wiley 2024 Wiley 2024 240pp.; text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft PDF Written and edited by a team of experts in the field, this exciting new volume presents the cutting-edge techniques, latest trends, and state-of-the-art practical applications in linear and nonlinear system modeling. Mathematical modeling of control systems is, essentially, extracting the essence of practical problems into systematic mathematical language. In system modeling, mathematical expression deals with modeling and its applications. It is characterized that how a modeling competency can be categorized and its activity can contribute to building up these competencies. Mathematical modeling of a practical system is an attractive field of research and an advanced subject with a variety of applications. The main objective of mathematical modeling is to predict the behavior of the system under different operating conditions and to design and implement efficient control strategies to achieve the desired performance. A considerable effort has been directed to the development of models, which must be understandable and easy to analyze. It is a very difficult task to develop mathematical modeling of complicated practical systems considering all its possible high-level non-linearity and cross couple dynamics. Although mathematical modeling of nonlinear systems sounds quite interesting, it is difficult to formulate the general solution to analyze and synthesize nonlinear dynamical systems. Most of the natural processes are nonlinear, having very high computational complexity of several numerical issues. It is impossible to create any general solution or individual procedure to develop exact modeling of a non-linear system, which is often improper and too complex for engineering practices. Therefore, some series of approximation procedures are used, in order to get some necessary knowledge about the nonlinear system dynamics. There are several complicated mathematical approaches for solving these types of problems, such as functional analysis, differential geometry or the theory of nonlinear differential equations. Systems Engineering & Management Electric Power Systems 91547 Materials for Energy Systems <p>Model order reduction; Time delay systems; Fractional order systems; Unstable systems; Non-minimum phase systems; Interval systems; Chemical process modelling; Nonlinear systems; Linear time-invariant systems; Modelling of power system network; Modelling of power converters; Control systems; Traditional control algorithms; Intelligent control; Single-input single-output systems; Single-input multi-output systems; Multi-input single-output systems; Multi-input multi-output systems; Electronic system modelling; Boiler plant modelling; Nuclear power plant modelling; Hydro plant modelling</p> Roy, Tamal edt 92119 Tripathi, Suman Lata edt Ganguli, Souvik edt 91648 Printed edition: 9781119847427 https://doi.org/10.1002/9781119847533 Wiley Online Library https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119847533 Wiley Online Library Cover Image https://onlinelibrary.wiley.com/cms/asset/5107694e-82d7-47ed-83d6-fe73b2b510b3/9781119847533.cover.gif Wiley Online Library 67225 67225