Control of Time Variable, Nonlinear Multivariable Systems Using Liapunov's Direct Method

Control of Time Variable, Nonlinear Multivariable Systems Using Liapunov's Direct Method PDF Author: D. P. Lindorff
Publisher:
ISBN:
Category : Nonlinear systems
Languages : en
Pages : 36

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Control of Time Variable, Nonlinear Multivariable Systems Using Liapunov's Direct Method

Control of Time Variable, Nonlinear Multivariable Systems Using Liapunov's Direct Method PDF Author: D. P. Lindorff
Publisher:
ISBN:
Category : Nonlinear systems
Languages : en
Pages : 36

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Book Description


Nonlinear Dynamical Systems and Control

Nonlinear Dynamical Systems and Control PDF Author: Wassim M. Haddad
Publisher: Princeton University Press
ISBN: 0691133298
Category : Mathematics
Languages : en
Pages : 975

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Book Description
The application of dynamical systems has crossed interdisciplinary boundaries from chemistry to biochemistry to chemical kinetics and beyond. This book presents and develops a complete and thorough treatment of stability analysis and control design of nonlinear dynamical systems, with an emphasis on Lyapunov-based methods.

Stability and Control of Nonlinear Time-varying Systems

Stability and Control of Nonlinear Time-varying Systems PDF Author: Shuli Guo
Publisher: Springer
ISBN: 9811089086
Category : Technology & Engineering
Languages : en
Pages : 268

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Book Description
This book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.

Advanced and Multivariable Control

Advanced and Multivariable Control PDF Author: Lalo Magni
Publisher: Società Editrice Esculapio
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 211

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Book Description
This textbook is designed for an advanced course in control theory. The purpose of Chapter 1 is to introduce some results on the stability of dynamic systems achieved with the Lyapunov theory, and on its use for the synthesis of nonlinear control laws. The definition of norms and gains of dynamic systems is reported in Chapter 2 to provide the reader with the mathematical tools required in the following chapters. Some basic techniques for the analysis and the control of single-input, single-output systems are recalled in Chapter 3 to motivate the introduction, in the following chapters, of synthesis techniques for multi-input, multi-output systems. The analysis of multivariable systems, in terms of poles and zeros, manipulation rules of block diagrams, frequency response, stability of the feedback system, and static and dynamic performance, are discussed in Chapters 4 and 5. In Chapter 6 the pole-placement approach for the synthesis of state feedback control laws and state observers is described. Optimal control synthesis techniques for continuous- time systems are presented from Chapter 7 to 10. Specifically, the Linear Quadratic control method, the Kalman filter and the LQG control are widely described together with their main properties. These results are then extended to the discrete-time case in Chapter 11. The main algorithms and results of Model Predictive Control are finally presented in Chapter 12. Some useful mathematical notions are summarized in the Appendix. • stability • Lyapunov theory • multivariable systems • pole placement • state observers • optimal control • linear quadratic control • Kalman filter • LQG control • model predictive control

Adaptive Control and Identification of Multivariable Systems Using Lyapunov's Direct Method

Adaptive Control and Identification of Multivariable Systems Using Lyapunov's Direct Method PDF Author: Kumpati S. Marendra
Publisher:
ISBN:
Category :
Languages : en
Pages : 51

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Book Description
The design of stable model reference adaptive systems using the direct method of Lyapunov is considered in the report and many of the results obtained in recent years are presented in a unified manner. These results together with the recent work on adaptive observers make the entire approach a viable one for the identification and control of multivariable systems. In particular, they have proved effective in the control of VTOL aircraft systems and appear to be very attractive for many applications in process control. The results are first obtained assuming that the systems are time-invariant but they carry over relatively easily to the slowly time-varying case.

Variable Structure and Lyapunov Control

Variable Structure and Lyapunov Control PDF Author: Alan S. I. Zinober
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 436

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Control of Nonlinear Multivariable Systems

Control of Nonlinear Multivariable Systems PDF Author: D. P. Lindorff
Publisher:
ISBN:
Category : Nonlinear systems
Languages : en
Pages : 28

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Book Description


Work Session in Lyapunov's Second Method

Work Session in Lyapunov's Second Method PDF Author: Louis F. Kazda
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 194

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Book Description


Control and Dynamic Systems V50: Robust Control System Techniques and Applications

Control and Dynamic Systems V50: Robust Control System Techniques and Applications PDF Author: C.T. Leonides
Publisher: Elsevier
ISBN: 0323163025
Category : Technology & Engineering
Languages : en
Pages : 480

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Book Description
Control and Dynamic Systems: Advances in Theory and Applications, Volume 50: Robust Control System Techniques and Applications, Part 1 of 2 is a two-volume sequence devoted to the issues and application of robust control systems techniques. This volume is composed of 10 chapters and begins with a presentation of the important techniques for dealing with conflicting design objectives in control systems. The subsequent chapters describe the robustness techniques of systems using differential-difference equations; the design of a wide class of robust nonlinear systems, the techniques for dealing with the problems resulting from the use of observers in robust systems design, and the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties. These topics are followed by discussions of the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties and for incorporating adaptive control techniques into a (non-adaptive) robust control design. Other chapters present techniques for achieving exponential and robust stability for a rather general class of nonlinear systems, techniques in modeling uncertain dynamics for robust control systems design, and techniques for the optimal synthesis of these systems. The last chapters provide a generalized eigenproblem solution for both singular and nonsingular system cases. These chapters also look into the stability robustness design for discrete-time systems. This book will be of value to process and systems engineers, designers, and researchers.

Robust Nonlinear Control Design

Robust Nonlinear Control Design PDF Author: Randy A. Freeman
Publisher: Springer Science & Business Media
ISBN: 0817647597
Category : Science
Languages : en
Pages : 268

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Book Description
This softcover book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. The researcher who wishes to enter the field of robust nonlinear control could use this book as a source of new research topics. For those already active in the field, the book may serve as a reference to a recent body of significant work. Finally, the design engineer faced with a nonlinear control problem will benefit from the techniques presented here.