Applied Optimal Estimation

Author: Analytic Sciences Corporation. Technical Staff,Analytic Sciences Corporation
Publisher: MIT Press
ISBN: 9780262570480
Category: Computers
Page: 374
View: 8467

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This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation. Even so, theoretical and mathematical concepts are introduced and developed sufficiently to make the book a self-contained source of instruction for readers without prior knowledge of the basic principles of the field. The work is the product of the technical staff of The Analytic Sciences Corporation (TASC), an organization whose success has resulted largely from its applications of optimal estimation techniques to a wide variety of real situations involving large-scale systems. Arthur Gelb writes in the Foreword that "It is our intent throughout to provide a simple and interesting picture of the central issues underlying modern estimation theory and practice. Heuristic, rather than theoretically elegant, arguments are used extensively, with emphasis on physical insights and key questions of practical importance." Numerous illustrative examples, many based on actual applications, have been interspersed throughout the text to lead the student to a concrete understanding of the theoretical material. The inclusion of problems with "built-in" answers at the end of each of the nine chapters further enhances the self-study potential of the text. After a brief historical prelude, the book introduces the mathematics underlying random process theory and state-space characterization of linear dynamic systems. The theory and practice of optimal estimation is them presented, including filtering, smoothing, and prediction. Both linear and non-linear systems, and continuous- and discrete-time cases, are covered in considerable detail. New results are described concerning the application of covariance analysis to non-linear systems and the connection between observers and optimal estimators. The final chapters treat such practical and often pivotal issues as suboptimal structure, and computer loading considerations. This book is an outgrowth of a course given by TASC at a number of US Government facilities. Virtually all of the members of the TASC technical staff have, at one time and in one way or another, contributed to the material contained in the work.

Stochastic Models, Estimation, and Control

Author: Peter S. Maybeck
Publisher: Academic Press
ISBN: 9780080960036
Category: Mathematics
Page: 291
View: 7578

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This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws.

Estimationstheorie II

Anwendungen - Kalman-Filter
Author: Otmar Loffeld
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 348678322X
Category: Mathematics
Page: 298
View: 2292

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Systemtheorie 2

Mehrdimensionale, adaptive und nichtlineare Systeme
Author: Rolf Unbehauen
Publisher: Walter de Gruyter
ISBN: 3486599046
Category: Technology & Engineering
Page: 743
View: 7179

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Das seit drei Jahrzehnten beliebte Standardwerk der Systemtheorie erscheint jetzt in 2 Bänden! Damit wird dem dynamischen Entwicklungsprozeß und der stark steigenden Bedeutung der Systemtheorie Rechnung getragen. Eine Vielzahl von unterschiedlichen Einzelerscheinungen wird als Konsequenz weniger systemtheoretischer Konzepte verständlich gemacht. Der 1. Band behandelt die Allgemeinen Grundlagen, Signale und Lineare Systeme im Zeit- und Frequenzbereich. Der 2. Band erweitert diesen Themenkreis um die mehrdimensionalen, adaptiven und nichtlinearen Systeme sowie die Chaostheorie und die neuronalen Systeme. Das Nachschlagewerk für Studenten und Ingenieure!

Autonome Mobile Systeme 1994

10. Fachgespräch, Stuttgart, 13. und 14. Oktober 1994
Author: Paul Levi,Thomas Bräunl
Publisher: Springer-Verlag
ISBN: 3642792677
Category: Computers
Page: 361
View: 8147

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Autonomous Robot Vehicles

Author: Ingemar J. Cox,Gordon T. Wilfong
Publisher: Springer Science & Business Media
ISBN: 1461389976
Category: Computers
Page: 462
View: 4582

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Autonomous robot vehicles are vehicles capable of intelligent motion and action without requiring either a guide or teleoperator control. The recent surge of interest in this subject will grow even grow further as their potential applications increase. Autonomous vehicles are currently being studied for use as reconnaissance/exploratory vehicles for planetary exploration, undersea, land and air environments, remote repair and maintenance, material handling systems for offices and factories, and even intelligent wheelchairs for the disabled. This reference is the first to deal directly with the unique and fundamental problems and recent progress associated with autonomous vehicles. The editors have assembled and combined significant material from a multitude of sources, and, in effect, now conviniently provide a coherent organization to a previously scattered and ill-defined field.

Optimal Control

Author: Frank L. Lewis,Draguna Vrabie,Vassilis L. Syrmos
Publisher: John Wiley & Sons
ISBN: 1118122720
Category: Technology & Engineering
Page: 552
View: 7664

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A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include: Static Optimization Optimal Control of Discrete-Time Systems Optimal Control of Continuous-Time Systems The Tracking Problem and Other LQR Extensions Final-Time-Free and Constrained Input Control Dynamic Programming Optimal Control for Polynomial Systems Output Feedback and Structured Control Robustness and Multivariable Frequency-Domain Techniques Differential Games Reinforcement Learning and Optimal Adaptive Control

Control and Dynamic Systems V15

Advances in Theory and Applications
Author: C.T. Leonides
Publisher: Elsevier
ISBN: 032315333X
Category: Technology & Engineering
Page: 378
View: 3793

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Control and Dynamic Systems: Advances in Theory and Application, Volume 15 deals with the application of control and dynamic systems to complex and/or large-scale engineering systems. It presents various techniques for approaching applied systems problems. This book first discusses optimization policies for clinical drug prescription. It then turns to the methods of modeling chemical engineering systems and water resource systems. This book also examines the optimization of large scale structures and advances in linear adaptive filtering theory. This book is a useful reference for those seeking a comprehensive text about optimization techniques for chemical engineering systems and large-scale systems.

Applied Optimal Control and Estimation

Digital Design and Implementation
Author: Frank L. Lewis
Publisher: Texas Instruments, Incorporated
Category: Technology & Engineering
Page: 624
View: 4914

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This book covers optimal design for multi-input/multi-output (MIMO) systems, providing not only the theoretical background, but also practical implementation techniques for control and estimation algorithms. Real-time implementation methods for a wide range of industries and control problems are detailed, including control of computer disk drives, chemical process control, and aircraft control. The book puts modern control design tools - based on solving matrix equation - well within the reach of the individual design engineer. You'll see how to design control systems using software programs, simulate these controllers on digital controllers, and then implement digital controllers on actual processors using digital signal processors (DSPs). Appropriate

Optimal estimation

with an introduction to stochastic control theory
Author: Frank L. Lewis
Publisher: Wiley-Interscience
Category: Science
Page: 376
View: 9418

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Describes the use of optimal control and estimation in the design of robots, controlled mechanisms, and navigation and guidance systems. Covers control theory specifically for students with minimal background in probability theory. Presents optimal estimation theory as a tutorial with a direct, well-organized approach and a parallel treatment of discrete and continuous time systems. Gives practical examples and computer simulations. Provides enough mathematical rigor to put results on a firm foundation without an overwhelming amount of proofs and theorems.

Applied Optimal Control

Optimization, Estimation and Control
Author: A. E. Bryson
Publisher: Routledge
ISBN: 1351465910
Category: Technology & Engineering
Page: 496
View: 2992

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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.

Introduction to random signals and applied Kalman filtering

with MATLAB exercises and solutions
Author: Robert Grover Brown,Patrick Y. C. Hwang
Publisher: John Wiley & Sons Inc
ISBN: 9780471128397
Category: Computers
Page: 484
View: 499

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In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results of specific examples is the best way to obtain the insight that is essential in engineering work.