Applied Optimal Control

Optimization, Estimation and Control

Author: A. E. Bryson

Publisher: Routledge

ISBN: 1351465910

Category: Technology & Engineering

Page: 496

View: 1557

This best-selling text focuses on the analysis and design of complicated dynamics systems. CHOICE called it ""a high-level, concise book that could well be used as a reference by engineers, applied mathematicians, and undergraduates. The format is good, the presentation clear, the diagrams instructive, the examples and problems helpful...References and a multiple-choice examination are included.

Applied Optimal Control

Optimization, Estimation, and Control

Author: Arthur Earl Bryson,Yu-Chi Ho,Yu C. Ho

Publisher: Hemisphere Pub


Category: Control theory

Page: 481

View: 1811

This is one of the best books on optimal control. It covers a wide range of interesting material including parameter optimization, optimization for systems with constraints, feedback control and singular solutions of optimization. The book can be useful in teaching courses in control theory. There are plenty of exercises included in the text.

Optimale Kontrolle ökonomischer Prozesse

Anwendungen des Maximumprinzips in den Wirtschaftswissenschaften

Author: Gustav Feichtinger,Richard F. Hartl

Publisher: Walter de Gruyter

ISBN: 311085614X

Category: Business & Economics

Page: 645

View: 950

Optimale Kontrolle Okonomischer Prozesse: Anwendungen Des Maximumprinzips in Den Wirtschaftswissenschaften.

Hybrid Systems, Optimal Control and Hybrid Vehicles

Theory, Methods and Applications

Author: Thomas J. Böhme,Benjamin Frank

Publisher: Springer

ISBN: 3319513176

Category: Technology & Engineering

Page: 530

View: 7061

This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite. Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems. A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles. Important topics of real relevance rarely found in text books and research publications—switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.—are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control are provided in terms of requirements, benefits and risks.

Model-Reference Adaptive Control

A Primer

Author: Nhan T. Nguyen

Publisher: Springer

ISBN: 3319563939

Category: Technology & Engineering

Page: 444

View: 8787

This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.

Nonlinear Dynamical Systems and Control

A Lyapunov-Based Approach

Author: Wassim M. Haddad,VijaySekhar Chellaboina

Publisher: Princeton University Press

ISBN: 1400841046

Category: Mathematics

Page: 944

View: 9493

Nonlinear Dynamical Systems and Control presents and develops an extensive treatment of stability analysis and control design of nonlinear dynamical systems, with an emphasis on Lyapunov-based methods. Dynamical system theory lies at the heart of mathematical sciences and engineering. The application of dynamical systems has crossed interdisciplinary boundaries from chemistry to biochemistry to chemical kinetics, from medicine to biology to population genetics, from economics to sociology to psychology, and from physics to mechanics to engineering. The increasingly complex nature of engineering systems requiring feedback control to obtain a desired system behavior also gives rise to dynamical systems. Wassim Haddad and VijaySekhar Chellaboina provide an exhaustive treatment of nonlinear systems theory and control using the highest standards of exposition and rigor. This graduate-level textbook goes well beyond standard treatments by developing Lyapunov stability theory, partial stability, boundedness, input-to-state stability, input-output stability, finite-time stability, semistability, stability of sets and periodic orbits, and stability theorems via vector Lyapunov functions. A complete and thorough treatment of dissipativity theory, absolute stability theory, stability of feedback systems, optimal control, disturbance rejection control, and robust control for nonlinear dynamical systems is also given. This book is an indispensable resource for applied mathematicians, dynamical systems theorists, control theorists, and engineers.

Optimale Steuerung partieller Differentialgleichungen

Theorie, Verfahren und Anwendungen

Author: Fredi Tröltzsch

Publisher: Springer-Verlag

ISBN: 3322968448

Category: Mathematics

Page: 298

View: 2279

Die mathematische Theorie der optimalen Steuerung hat sich im Zusammenhang mit Berechnungen für die Luft- und Raumfahrt schnell zu einem wichtigen und eigenständigen Gebiet der angewandten Mathematik entwickelt. Die optimale Steuerung durch partielle Differentialgleichungen modellierter Prozesse wird eine numerische Herausforderung der Zukunft sein. Sie erfordert die Analysis nichtlinearer partieller Differentialgleichungen, Optimierung im Funktionenraum, nichtlineare Funktionalanalysis sowie Optimierungsverfahren für extrem große Aufgaben. Im Buch werden entsprechende Grundlagen mit langsam steigendem Schwierigkeitsgrad entwickelt. Grundkenntnisse zu partiellen Differentialgleichungen und der Funktionalanalysis werden jeweils dort gebracht, wo sie konkret nötig sind. Das Buch enthält viele Beispiele und eignet sich als Grundlage für Vorlesungen und Seminare.


Paths, Dangers, Strategies

Author: Nick Bostrom

Publisher: OUP Oxford

ISBN: 0191666831

Category: Computers

Page: 272

View: 2524

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.

The PerformanceStat Potential

A Leadership Strategy for Producing Results

Author: Robert D. Behn

Publisher: Brookings Institution Press

ISBN: 0815725280

Category: Political Science

Page: 413

View: 1486

It started two decades ago with CompStat in the New York City Police Department, and quickly jumped to police agencies across the U.S. and other nations. It was adapted by Baltimore, which created CitiStat—the first application of this leadership strategy to an entire jurisdiction. Today, governments at all levels employ PerformanceStat: a focused effort by public executives to exploit the power of purpose and motivation, responsibility and discretion, data and meetings, analysis and learning, feedback and follow-up—all to improve government's performance. Here, Harvard leadership and management guru Robert Behn analyzes the leadership behaviors at the core of PerformanceStat to identify how they work to produce results. He examines how the leaders of a variety of public organizations employ the strategy—the way the Los Angeles County Department of Public Social Services uses its DPSSTATS to promote economic independence, how the City of New Orleans uses its BlightStat to eradicate blight in city neighborhoods, and what the Federal Emergency Management Agency does with its FEMAStat to ensure that the lessons from each crisis response, recovery, and mitigation are applied in the future. How best to harness the strategy's full capacity? The PerformanceStat Potential explains all.


determinist. Beobachtung u. stochast. Filterung

Author: Karl Brammer,Gerhard Siffling

Publisher: N.A


Category: Control theory

Page: 232

View: 3655

Das Buch will die mannigfaltigen Aufgaben der heutigen Regelungs- und Steuerungstechnik und ihre Lösung nahebringen. Das soll mit möglichst geringem Zeit- und Arbeitsaufwand für den Leser verbunden sein. Leichte Verständlichkeit, Anschaulichkeit und Anwendungsnähe sind deshalb Hauptgesichtspunkt der Darstellung. Vollständigkeit ist nicht angestrebt, vielmehr Darstellung des Wesentlichen. Mathematische Methoden werden auf das Notwendige beschränkt.

An engineering approach to optimal control and estimation theory

Author: George M. Siouris

Publisher: Wiley-Interscience


Category: Science

Page: 407

View: 2811

A much-awaited guide to real-world problems in modern control and estimation This combined text and reference deals with the design of modern control systems. It is the first book in this rapidly growing field to approach optimal control and optimal estimation from a strictly pragmatic standpoint. Sidestepping the realm of theoretical mathematics, An Engineering Approach to Optimal Control and Estimation Theory offers realistic and workable solutions that can be put to immediate use by electrical and mechanical engineers in aerospace and in many other applications. The author draws on his extensive experience in research and development from industry, government, and academia to present systematic, accessible coverage of all important topics, including: * All basic mathematics needed to apply subsequent information * A historical perspective on the evolution of modern control and estimation theory * All major concepts relevant to the design of modern control systems--from the Kalman filter, to linear regulators, to decentralized Kalman filters * Practical examples useful in applying the principles under discussion * Problems at the end of each chapter * Carefully selected references from the vast number of books published on this subject * Appendixes reviewing matrix algebra that is central to modern control theory, as well as matrix subroutines, useful to both students and practicing engineers Optimal Control and Estimation Theory Optimal control and optimal estimation have seen tremendous growth over the past three decades, owing to major advances in aerospace and other types of engineering. Optimal control and estimation theory is crucial to the design of modern control systems; for instance, navigation, mobile robotics, or automated vehicles and aircraft. It ensures that variables such as temperatures or pressure are kept in check, regardless of the disturbance the system undergoes. Despite the proliferation of books on the subject, most of the material published in this area is highly theoretical, and approaches the subject in a "theorem-proof" fashion, which is more appropriate to mathematics than to an engineering text. As its title suggests, An Engineering Approach to Optimal Control and Estimation Theory provides a practical and accessible guide, focusing on applications and implementation, and answering real-world questions faced by control engineers. In its highly organized overview of all areas, the book examines the design of modern optimal controllers requiring the selection of a performance criterion, demonstrates optimization of linear systems with bounded controls and limited control effort, and considers nonlinearities and their effect on various types of signals. Covering all the basics, the book deals with the evolution of optimal control and estimation theory, and presents the necessary mathematical background needed for this study. It also lists references and problems, and supplies appendixes for those wishing to delve into matrix algebra. Throughout, it offers opportunities for experimentation, while discussing analysis, various filtering methods, and many other pertinent topics. An Engineering Approach to Optimal Control and Estimation Theory is an invaluable, self-contained reference for practicing engineers, a useful text for graduate students and qualified senior undergraduates, and an important resource for anyone interested in the future of modern control technology.

Produktionsfaktor Mathematik

Author: Martin Grötschel,Klaus Lucas,Volker Mehrmann

Publisher: Springer-Verlag

ISBN: 3540894357

Category: Mathematics

Page: 480

View: 6484

Mathematik trägt immer stärker zur Produktentwicklung und Produktionssicherheit, zur Wertschöpfung und Ressourcenschonung bei. Das Buch erörtert in verschiedenen ingenieurwissenschaftlichen Themenfeldern das Verhältnis von Mathematik und Technikwissenschaften, den Beitrag der Mathematik zur industriellen Wertschöpfung und die Schlüsselrolle der Mathematik bei der Beherrschung komplexer Systeme. Gleichzeitig schlagen die Autoren Maßnahmen zur Verbesserung der Interaktion zwischen Mathematik und Technikwissenschaften, Forschung und Industrie vor.