The Qualitative Analysis Of Nonlinear Parameterised Systems
Download The Qualitative Analysis Of Nonlinear Parameterised Systems full books in PDF, epub, and Kindle. Read online free The Qualitative Analysis Of Nonlinear Parameterised Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
The Qualitative Analysis of Nonlinear Parameterised Systems
Author | : Barry Robert Haynes |
Publisher | : |
Total Pages | : 43 |
Release | : 1990 |
Genre | : Automatic control |
ISBN | : |
Qualitative and Quantitative Analysis of Nonlinear Systems
Author | : Michael Z. Zgurovsky |
Publisher | : Springer |
Total Pages | : 265 |
Release | : 2017-07-11 |
Genre | : Technology & Engineering |
ISBN | : 3319598406 |
Here, the authors present modern methods of analysis for nonlinear systems which may occur in fields such as physics, chemistry, biology, or economics. They concentrate on the following topics, specific for such systems: (a) constructive existence results and regularity theorems for all weak solutions; (b) convergence results for solutions and their approximations; (c) uniform global behavior of solutions in time; and (d) pointwise behavior of solutions for autonomous problems with possible gaps by the phase variables. The general methodology for the investigation of dissipative dynamical systems with several applications including nonlinear parabolic equations of divergent form, nonlinear stochastic equations of parabolic type, unilateral problems, nonlinear PDEs on Riemannian manifolds with or without boundary, contact problems as well as particular examples is established. As such, the book is addressed to a wide circle of mathematical, mechanical and engineering readers.
Nonlinear Systems
Author | : Dragoslav D. Siljak |
Publisher | : John Wiley & Sons |
Total Pages | : 648 |
Release | : 1968 |
Genre | : Nonlinear theories |
ISBN | : |
Control Of Nonlinear Distributed Parameter Systems
Author | : Goong Chen |
Publisher | : CRC Press |
Total Pages | : 380 |
Release | : 2001-03-14 |
Genre | : Mathematics |
ISBN | : 0824745051 |
An examination of progress in mathematical control theory applications. It provides analyses of the influence and relationship of nonlinear partial differential equations to control systems and contains state-of-the-art reviews, including presentations from a conference co-sponsored by the National Science Foundation, the Institute of Mathematics and its Applications, the University of Minnesota, and Texas A&M University.
Patterns and Waves
Author | : T. Nishida |
Publisher | : Elsevier |
Total Pages | : 709 |
Release | : 2011-09-22 |
Genre | : Mathematics |
ISBN | : 0080875394 |
Part I of this volume surveys the developments in the analysis of nonlinear phenomena in Japan during the past decade, while Part II consists of up-to-date original papers concerning qualitative theories and their applications.Dealt with here are nonlinear problems related to general analysis, fluid dynamics, mathematical biology and computer sciences, and their underlying mathematical structures, e.g. nonlinear waves and propagations, bifurcation phenomena, chaotic phenomena, and fractals.The volume is dedicated to Professor Masaya Yamaguti in celebration of his 60th birthday.
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
Author | : Janya-anurak, Chettapong |
Publisher | : KIT Scientific Publishing |
Total Pages | : 248 |
Release | : 2017-04-04 |
Genre | : Electronic computers. Computer science |
ISBN | : 3731506424 |
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
Author | : Han-Xiong Li |
Publisher | : Springer Science & Business Media |
Total Pages | : 175 |
Release | : 2011-02-24 |
Genre | : Mathematics |
ISBN | : 940070741X |
The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.
Nonlinear Systems Analysis
Author | : M. Vidyasagar |
Publisher | : SIAM |
Total Pages | : 515 |
Release | : 2002-01-01 |
Genre | : Mathematics |
ISBN | : 9780898719185 |
When M. Vidyasagar wrote the first edition of Nonlinear Systems Analysis, most control theorists considered the subject of nonlinear systems a mystery. Since then, advances in the application of differential geometric methods to nonlinear analysis have matured to a stage where every control theorist needs to possess knowledge of the basic techniques because virtually all physical systems are nonlinear in nature. The second edition, now republished in SIAM's Classics in Applied Mathematics series, provides a rigorous mathematical analysis of the behavior of nonlinear control systems under a variety of situations. It develops nonlinear generalizations of a large number of techniques and methods widely used in linear control theory. The book contains three extensive chapters devoted to the key topics of Lyapunov stability, input-output stability, and the treatment of differential geometric control theory. Audience: this text is designed for use at the graduate level in the area of nonlinear systems and as a resource for professional researchers and practitioners working in areas such as robotics, spacecraft control, motor control, and power systems.