H∞-Optimal Control and Related Minimax Design Problems

H∞-Optimal Control and Related Minimax Design Problems PDF Author: Tamer Başar
Publisher: Springer Science & Business Media
ISBN: 0817647570
Category : Science
Languages : en
Pages : 417

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Book Description
This book is devoted to one of the fastest developing fields in modern control theory - the so-called H-infinity optimal control theory. The book can be used for a second or third year graduate level course in the subject, and researchers working in the area will find the book useful as a standard reference. Based mostly on recent work of the authors, the book is written on a good mathematical level. Many results in it are original, interesting, and inspirational. The topic is central to modern control and hence this definitive book is highly recommended to anyone who wishes to catch up with important theoretical developments in applied mathematics and control.

H∞-Optimal Control and Related Minimax Design Problems

H∞-Optimal Control and Related Minimax Design Problems PDF Author: Tamer Başar
Publisher: Springer Science & Business Media
ISBN: 0817647570
Category : Science
Languages : en
Pages : 417

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Book Description
This book is devoted to one of the fastest developing fields in modern control theory - the so-called H-infinity optimal control theory. The book can be used for a second or third year graduate level course in the subject, and researchers working in the area will find the book useful as a standard reference. Based mostly on recent work of the authors, the book is written on a good mathematical level. Many results in it are original, interesting, and inspirational. The topic is central to modern control and hence this definitive book is highly recommended to anyone who wishes to catch up with important theoretical developments in applied mathematics and control.

H-Infinity Optimal Control and Related Minimax Design Problems

H-Infinity Optimal Control and Related Minimax Design Problems PDF Author: Tamer Başar
Publisher: Springer Science & Business Media
ISBN: 0817647562
Category : Language Arts & Disciplines
Languages : en
Pages : 418

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Book Description
This book is devoted to one of the fastest developing fields in modern control theory - the so-called H-infinity optimal control theory. Based mostly on recent work by the authors, the book is written on a good mathematical level. Many results in it are original.

H [infinity Symbol]-optimal Control and Related Minimax Design Problems

H [infinity Symbol]-optimal Control and Related Minimax Design Problems PDF Author: Tamer Başar
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 246

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Book Description


Robust Control Design Using H-8 Methods

Robust Control Design Using H-8 Methods PDF Author: Ian R. Petersen
Publisher: Springer Science & Business Media
ISBN: 9781852331719
Category : Computers
Languages : en
Pages : 478

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Book Description
This book provides a unified collection of important, recent results for the design of robust controllers for uncertain systems. Most of the results presented are based on H? control theory, or its stochastic counterpart, risk sensitive control theory.Central to the philosophy of the book is the notion of an uncertain system. Uncertain systems are considered using several different uncertainty modeling schemes. These include norm bounded uncertainty, integral quadratic constraint (IQC) uncertainty and a number of stochastic uncertainty descriptions. In particular, the authors examine stochastic uncertain systems in which the uncertainty is outlined by a stochastic version of the IQC uncertainty description.For each class of uncertain systems covered in the book, corresponding robust control problems are defined and solutions discussed.

Discrete H∞ Optimization

Discrete H∞ Optimization PDF Author: Charles K. Chui
Publisher: Springer Science & Business Media
ISBN: 3642591450
Category : Technology & Engineering
Languages : en
Pages : 271

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Book Description
Discrete H¿ Optimization is concerned with the study of H¿ optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before being extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathematical results derived here are applicable to digital control systems and digital filtering.

Smoothing, Filtering and Prediction

Smoothing, Filtering and Prediction PDF Author: Garry Einicke
Publisher: BoD – Books on Demand
ISBN: 9533077522
Category : Computers
Languages : en
Pages : 290

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Book Description
This book describes the classical smoothing, filtering and prediction techniques together with some more recently developed embellishments for improving performance within applications. It aims to present the subject in an accessible way, so that it can serve as a practical guide for undergraduates and newcomers to the field. The material is organised as a ten-lecture course. The foundations are laid in Chapters 1 and 2, which explain minimum-mean-square-error solution construction and asymptotic behaviour. Chapters 3 and 4 introduce continuous-time and discrete-time minimum-variance filtering. Generalisations for missing data, deterministic inputs, correlated noises, direct feedthrough terms, output estimation and equalisation are described. Chapter 5 simplifies the minimum-variance filtering results for steady-state problems. Observability, Riccati equation solution convergence, asymptotic stability and Wiener filter equivalence are discussed. Chapters 6 and 7 cover the subject of continuous-time and discrete-time smoothing. The main fixed-lag, fixed-point and fixed-interval smoother results are derived. It is shown that the minimum-variance fixed-interval smoother attains the best performance. Chapter 8 attends to parameter estimation. As the above-mentioned approaches all rely on knowledge of the underlying model parameters, maximum-likelihood techniques within expectation-maximisation algorithms for joint state and parameter estimation are described. Chapter 9 is concerned with robust techniques that accommodate uncertainties within problem specifications. An extra term within Riccati equations enables designers to trade-off average error and peak error performance. Chapter 10 rounds off the course by applying the afore-mentioned linear techniques to nonlinear estimation problems. It is demonstrated that step-wise linearisations can be used within predictors, filters and smoothers, albeit by forsaking optimal performance guarantees.

Linear Time Varying Systems and Sampled-data Systems

Linear Time Varying Systems and Sampled-data Systems PDF Author: Akira Ichikawa
Publisher: Springer Science & Business Media
ISBN: 9781852334390
Category : Medical
Languages : en
Pages : 382

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Book Description
This monograph considers linear optimal regulators, differential games and develops the theory for time-varying systems and jump systems.

L2-Gain and Passivity Techniques in Nonlinear Control

L2-Gain and Passivity Techniques in Nonlinear Control PDF Author: Arjan van der Schaft
Publisher: Springer
ISBN: 3319499920
Category : Technology & Engineering
Languages : en
Pages : 334

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Book Description
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.

Selected Topics In Structronics & Mechatronic Systems

Selected Topics In Structronics & Mechatronic Systems PDF Author: Alexander K Belyaev
Publisher: World Scientific
ISBN: 9814488038
Category : Technology & Engineering
Languages : en
Pages : 458

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Book Description
In the past twenty years, the scientific community has witnessed a technological revolution in products and processes, from consumer goods to factory automation systems. This revolution is based on the integration, right from the design phase, of the best that current technology can offer in electronics, control systems, computers, structures and mechanics. The terms that have emerged, for the synergetic approach to design, and integration of sensors, actuators, computers, structures and mechanics, are “structronics” and “mechatronics”. Structronics can be viewed as an integration of mechatronic systems into structures, which emphasizes a synergistic integration beginning at fertilization. Similar to mechatronics (established in the 1980s), structronics is recognized as one of the essential technologies in the 21st century.This comprehensive reference book gives an overview of the current state of structronics and mechatronics in both structural/mechanical and material systems. Consisting of nine self-contained chapters, it presents recent developments and covers emerging topics in the field.The key features include:• treatment of the nonholonomic variables in robotics• attenuation of fluid flow pulsation in hydraulic systems• presentation of mathematical modeling and experiments on complex nonlinear dynamics of washing machines• a survey of research findings in hydraulic gap control of rolling mills• detailed description of mathematical modeling and nonlinear control of a temper controlling mill• applications of high frequency dynamics in engineering structures• development of novel computational methods to include plasticity and damage in flexible multibody systems• new trends in optimal design of engineering structures• a review of ionic polymer metal composites (IPMCs) as sensors, actuators and artificial musclesSelected Topics in Structronics and Mechatronic Systems will be of interest to engineers, materials scientists, physicists and applied mathematicians.

Indefinite-Quadratic Estimation and Control

Indefinite-Quadratic Estimation and Control PDF Author: Babak Hassibi
Publisher: SIAM
ISBN: 9781611970760
Category : Mathematics
Languages : en
Pages : 572

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Book Description
This monograph presents a unified mathematical framework for a wide range of problems in estimation and control. The authors discuss the two most commonly used methodologies: the stochastic H² approach and the deterministic (worst-case) H [infinity] approach. Despite the fundamental differences in the philosophies of these two approaches, the authors have discovered that, if indefinite metric spaces are considered, they can be treated in the same way and are essentially the same. The benefits and consequences of this unification are pursued in detail, with discussions of how to generalize well-known results from H² theory to H [infinity] setting, as well as new results and insight, the development of new algorithms, and applications to adaptive signal processing. The authors deliberately have placed primary emphasis on estimation problems which enable one to solve all the relevant control problems in detail. They also deal mostly with discrete-time systems, since these are the ones most important in current applications.