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Nonlinear Control Design, Krstic, Miroslav, Petar V. Kokotovic, Ioannis Kanellakopoulos.


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Автор: Krstic, Miroslav, Petar V. Kokotovic, Ioannis Kanellakopoulos.   (Мирослав Крстич, Петар В. Коко)
Название:  Nonlinear Control Design
Перевод названия: Мирослав Крстич, Петар В. Кокотович, Иоаннис Канеллакопулос.: Модели нелинейного управления
ISBN: 9780471127321
Издательство: Wiley
Классификация:


ISBN-10: 0471127329
Обложка/Формат: Hardback
Страницы: 576
Вес: 0.92 кг.
Дата издания: 18.07.1995
Серия: Adaptive and cognitive dynamic systems: signal processing, learning, communications and control
Язык: English
Размер: 234 x 156 x 32
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping.


Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Strict-Feedback Nonlinear Systems

Автор: Zhang
Название: Strict-Feedback Nonlinear Systems
ISBN: 981198333X ISBN-13(EAN): 9789811983337
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.

Nonlinear and Robust Control of PDE Systems

Автор: Panagiotis D. Christofides
Название: Nonlinear and Robust Control of PDE Systems
ISBN: 1461266521 ISBN-13(EAN): 9781461266525
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The interest in control of nonlinear partial differential equation (PDE) sys- tems has been triggered by the need to achieve tight distributed control of transport-reaction processes that exhibit highly nonlinear behavior and strong spatial variations.

Self-Learning Optimal Control of Nonlinear Systems

Автор: Qinglai Wei; Ruizhuo Song; Benkai Li; Xiaofeng Lin
Название: Self-Learning Optimal Control of Nonlinear Systems
ISBN: 9811350434 ISBN-13(EAN): 9789811350436
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.

Mathematical Modelling, Nonlinear Control and Performance Evaluation of a Ground Based Mobile Air Defence System

Автор: Frangos Constantinos
Название: Mathematical Modelling, Nonlinear Control and Performance Evaluation of a Ground Based Mobile Air Defence System
ISBN: 303055497X ISBN-13(EAN): 9783030554972
Издательство: Springer
Цена: 16769.00 р.
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Описание:

Introduction.- Stochastic Modelling of the Effect of Anti-Aircraft Gun Disturbances.- Flight Dynamics Model of the Projectile.- Geometric Description of the Three-Dimensional Body of the Attacking Aerial Target.- Formulation and Numerical Solution of the Basic Fire Control Problem.- Computation of the Probability that n Projectiles out of a Burst of N Projectiles will Hit the Aerial Target: One AA Gun.- Computation of Ground Impact Regions and Ground Impact Velocities of Projectiles.- References.- Index.

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Автор: Thomas Duriez; Steven L. Brunton; Bernd R. Noack
Название: Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
ISBN: 3319821407 ISBN-13(EAN): 9783319821405
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail.

Nonlinear Control Technology of Vehicle Chassis-by-Wire System

Автор: Zhao Wanzhong, Wang Chunyan
Название: Nonlinear Control Technology of Vehicle Chassis-by-Wire System
ISBN: 9811673217 ISBN-13(EAN): 9789811673214
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems.

Nonlinear Model Predictive Control

Автор: Lalo Magni; Davide Martino Raimondo; Frank Allg?we
Название: Nonlinear Model Predictive Control
ISBN: 3642010938 ISBN-13(EAN): 9783642010934
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Over the years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. This book assesses the status of the NMPC field and discusses future directions and needs.

Observer Design for Nonlinear Dynamical Systems

Автор: Boutat
Название: Observer Design for Nonlinear Dynamical Systems
ISBN: 3030737446 ISBN-13(EAN): 9783030737443
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents a differential geometric method for designing nonlinear observers for multiple types of nonlinear systems, including single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems.

Analysis and Synthesis of Nonlinear Control Systems

Автор: Bernal
Название: Analysis and Synthesis of Nonlinear Control Systems
ISBN: 3030907759 ISBN-13(EAN): 9783030907754
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi–Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.

L2-Gain and Passivity Techniques in Nonlinear Control

Автор: van der Schaft
Название: L2-Gain and Passivity Techniques in Nonlinear Control
ISBN: 3319499912 ISBN-13(EAN): 9783319499918
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This standard text gives a unified treatment of passivity and L2-gain theory for nonlinear state space systems, preceded by a compact treatment of classical passivity and small-gain theorems for nonlinear input-output maps. The synthesis between passivity and L2-gain theory is provided by the theory of dissipative systems. Specifically, the small-gain and passivity theorems and their implications for nonlinear stability and stabilization are discussed from this standpoint. The connection between L2-gain and passivity via scattering is detailed.Feedback equivalence to a passive system and resulting stabilization strategies are discussed. The passivity concepts are enriched by a generalised Hamiltonian formalism, emphasising the close relations with physical modeling and control by interconnection, and leading to novel control methodologies going beyond passivity.The potential of L2-gain techniques in nonlinear control, including a theory of all-pass factorizations of nonlinear systems, and of parametrization of stabilizing controllers, is demonstrated. The nonlinear H-infinity optimal control problem is also treated and the book concludes with a geometric analysis of the solution sets of Hamilton-Jacobi inequalities and their relation with Riccati inequalities for the linearization. · L2-Gain and Passivity Techniques in Nonlinear Control (third edition) is thoroughly updated, revised, reorganized and expanded. Among the changes, readers will find:· updated and extended coverage of dissipative systems theory· substantial new material regarding converse passivity theorems and incremental/shifted passivity · coverage of recent developments on networks of passive systems with examples· a completely overhauled and succinct introduction to modeling and control of port-Hamiltonian systems, followed by an exposition of port-Hamiltonian formulation of physical network dynamics· updated treatment of all-pass factorization of nonlinear systems The book provides graduate students and researchers in systems and control with a compact presentation of a fundamental and rapidly developing area of nonlinear control theory, illustrated by a broad range of relevant examples stemming from different application areas.

Model-based Nonlinear Control of Aeroengines

Автор: Wang
Название: Model-based Nonlinear Control of Aeroengines
ISBN: 9811644551 ISBN-13(EAN): 9789811644559
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systems-both component-level and identification-based models will be extensively studied and compared;


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