Normal view MARC view ISBD view

Control and Dynamic Systems : Advances in Theory and Applications.

By: Leonides, C. T.
Material type: TextTextSeries: eBooks on Demand.Publisher: Saint Louis : Elsevier Science & Technology, 2012Copyright date: ©1988Description: 1 online resource (363 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9780323162685.Subject(s): Automatic control | Control theory | System analysisGenre/Form: Electronic books.Additional physical formats: Print version:: Control and Dynamic Systems : Advances in Theory and ApplicationsDDC classification: 629.8 Online resources: Click here to view this ebook.
Contents:
Front Cover -- Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 -- Copyright Page -- Table of Contents -- PREFACE -- Chapter 1. Algorithms and Computational Techniques in Stochastic Optimal Control -- I. Introduction -- II. Review of Stochastic Optimal Control -- III. Modeling, Optimal Control, Estimation, Identification, and Design of Stochastic Systems -- IV. Conclusions -- References -- Chapter 2. Computational Techniques for the Matrix Pseudoinverse in Minimum Variance Reduced-Order Filtering and Control -- I. Introduction -- II. Counterexamples to Two Questionable Pseudoinverse Algorithms -- III. Proper Calculation of Matrix Pseudoinverse by Validated Software: A Status Review -- IV. A Survey of Pseudoinverse Applications -- V Dependence of Minimum Variance Reduced-Order Filtering on the Pseudoinverse -- VI. Summary -- VII. Appendix A: Theoretical Basis for the Pseudoinverse of a Continuous Linear Transformation -- VIII. Appendix B: Longhand Calculation of a Matrix Pseudoinverse -- IX. Appendix C: An Application of the Pseudoinverse in Minimum Energy Optimal Control -- Acknowledgements -- References -- Chapter 3. Decomposition Technique in Multiobjective Discrete-Time Dynamic Problems: The Envelope Approach -- I. Introduction -- II. Basic Theorem of the Envelope Approach -- III. Multiobjective Dynamic Programming Method Using the Envelope Approach -- IV. Hierarchical Generating Methods -- V. Conclusions -- Acknowledgements -- References -- Chapter 4. Algorithms and Computational Techniques in Robotic Systems -- I. Introduction -- II. Manipulator Dynamics and Control Methods -- III. Stability Analysis and Simulation -- IV. Physical Modeling of Flexible Manipulators -- V Control Schemes and Simulation -- VI. Discussion and Conclusion -- References.
Chapter 5. A Methodology Based on Reduced Complexity Algorithm for System Applications Using Microprocessors -- I. Introduction -- II. Linear Equalizer -- III. Branch-and-Bound Algorithm -- IV Hardware and Software Descriptions -- V Numerical Results and Conclusions -- Acknowledgments -- References -- Chapter 6. Algorithms for Image-Based Trackers of Maneuvering Targets -- I. Introduction -- II. Current Approaches to Image-Based Target Tracking -- III. Comparative Performance of an Image-Based System -- IV. Orientation Information in Prediction -- V. Conclusions -- References -- Chapter 7. Modeling and Simplification of Linear and Nonlinear Systems -- I. Introduction -- II. Problem Statement -- III. Projection Methods -- IV. An Optimal Modeling Algorithm -- V. Modeling of Nonlinear Systems from State Information -- VI. Modeling of Nonlinear Discrete-Time Systems from Input-Output Data -- Acknowledgments -- References -- INDEX.
Summary: Control and Dynamic Systems: Advances in Theory in Applications, Volume 28: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This book presents algorithms and numerical techniques used for the analysis and control design of stochastic linear systems with multiplicative and additive noise. It also discusses computational techniques for the matrix pseudoinverse in minimum variance reduced-order filtering and control; decomposition technique in multiobjective discrete-time dynamic problems; computational techniques in robotic systems; reduced complexity algorithm using microprocessors; algorithms for image-based tracking; and modeling of linear and nonlinear systems. This volume will be an important reference source for practitioners in the field who are looking for techniques with significant applied implications.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
TJ213 -- .A38 1988 (Browse shelf) https://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=1181859 Available EBC1181859

Front Cover -- Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 -- Copyright Page -- Table of Contents -- PREFACE -- Chapter 1. Algorithms and Computational Techniques in Stochastic Optimal Control -- I. Introduction -- II. Review of Stochastic Optimal Control -- III. Modeling, Optimal Control, Estimation, Identification, and Design of Stochastic Systems -- IV. Conclusions -- References -- Chapter 2. Computational Techniques for the Matrix Pseudoinverse in Minimum Variance Reduced-Order Filtering and Control -- I. Introduction -- II. Counterexamples to Two Questionable Pseudoinverse Algorithms -- III. Proper Calculation of Matrix Pseudoinverse by Validated Software: A Status Review -- IV. A Survey of Pseudoinverse Applications -- V Dependence of Minimum Variance Reduced-Order Filtering on the Pseudoinverse -- VI. Summary -- VII. Appendix A: Theoretical Basis for the Pseudoinverse of a Continuous Linear Transformation -- VIII. Appendix B: Longhand Calculation of a Matrix Pseudoinverse -- IX. Appendix C: An Application of the Pseudoinverse in Minimum Energy Optimal Control -- Acknowledgements -- References -- Chapter 3. Decomposition Technique in Multiobjective Discrete-Time Dynamic Problems: The Envelope Approach -- I. Introduction -- II. Basic Theorem of the Envelope Approach -- III. Multiobjective Dynamic Programming Method Using the Envelope Approach -- IV. Hierarchical Generating Methods -- V. Conclusions -- Acknowledgements -- References -- Chapter 4. Algorithms and Computational Techniques in Robotic Systems -- I. Introduction -- II. Manipulator Dynamics and Control Methods -- III. Stability Analysis and Simulation -- IV. Physical Modeling of Flexible Manipulators -- V Control Schemes and Simulation -- VI. Discussion and Conclusion -- References.

Chapter 5. A Methodology Based on Reduced Complexity Algorithm for System Applications Using Microprocessors -- I. Introduction -- II. Linear Equalizer -- III. Branch-and-Bound Algorithm -- IV Hardware and Software Descriptions -- V Numerical Results and Conclusions -- Acknowledgments -- References -- Chapter 6. Algorithms for Image-Based Trackers of Maneuvering Targets -- I. Introduction -- II. Current Approaches to Image-Based Target Tracking -- III. Comparative Performance of an Image-Based System -- IV. Orientation Information in Prediction -- V. Conclusions -- References -- Chapter 7. Modeling and Simplification of Linear and Nonlinear Systems -- I. Introduction -- II. Problem Statement -- III. Projection Methods -- IV. An Optimal Modeling Algorithm -- V. Modeling of Nonlinear Systems from State Information -- VI. Modeling of Nonlinear Discrete-Time Systems from Input-Output Data -- Acknowledgments -- References -- INDEX.

Control and Dynamic Systems: Advances in Theory in Applications, Volume 28: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This book presents algorithms and numerical techniques used for the analysis and control design of stochastic linear systems with multiplicative and additive noise. It also discusses computational techniques for the matrix pseudoinverse in minimum variance reduced-order filtering and control; decomposition technique in multiobjective discrete-time dynamic problems; computational techniques in robotic systems; reduced complexity algorithm using microprocessors; algorithms for image-based tracking; and modeling of linear and nonlinear systems. This volume will be an important reference source for practitioners in the field who are looking for techniques with significant applied implications.

Description based on publisher supplied metadata and other sources.

There are no comments for this item.

Log in to your account to post a comment.