Control and Dynamic Systems V21 - 1st Edition - ISBN: 9780120127214, 9780323150200

Control and Dynamic Systems V21

1st Edition

Advances in Theory and Applications

Editors: C.T. Leonides
eBook ISBN: 9780323150200
Imprint: Academic Press
Published Date: 14th September 1984
Page Count: 442
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Control and Dynamic Systems: Advances in Theory and Applications, Volume 21: Nonlinear and Kalman Filtering Techniques, Part 3 of 3 presents the developments in the techniques and technology of the application of nonlinear and Kalman filters. This book provides substantive examples of the methods and technology of the application of Kalman and nonlinear filters.

Organized into six chapters, this volume begins with an overview of the unique and relevant treatment of postflight data analysis. This text then examines the control and filter problems for the interception of torpedo-ship situations. Other chapters consider the MLS algorithm, which has been shown to be a superior algorithm in terms of stability and tracking performance when compared to existing least squares batch algorithm that use both a transition matrix and a measurement. The final chapter deals with the significant trends in integrated communication and navigation systems.

This book is a valuable resource for mechanical and aerospace engineers.

Table of Contents



Contents of Previous Volumes

Introduction to State Reconstruction of Dynamic Flight-Test Maneuvers

Symbol Definitions and Reference Frames

I. Introduction

II. Development of the System Model

III. Flight-Path Reconstruction: Principles and Methods

IV. Experimental Results

V. Concluding Remarks

Appendix. Derivation of Linear Least Squares Batch Algorithm


Optimal Filtering and Control Techniques for Torpedo-Ship Tracking Systems

I. Introduction

II. Mathematical Model

III. Optimization Problem

IV. Optimal Filtering

V. Control and Filtering

VI. Extensions

VII. Conclusion

Appendix A. Auxiliary Functions for the Open-Loop Control Problem for the Case Q ≠ O

Appendix B. Auxiliary Functions for the Closed-Loop Control Problem for the Case Q ≠ O

Appendix C. Elements of the Kalman Matrix K(t) for the Torpedo Inertial Filter

Appendix D. Extended Kalman Filter for the Relative Motion of Torpedo and Ship


State Estimation of Ballistic Trajectories with Angle-Only Measurements

List of Symbols

I. Introduction

II. Algorithm Description

III. Performance Evaluation

IV. Conclusions

Appendix A. Transition Equation

Appendix B. Measurement Equation

Appendix C. Derivation of Initial State Guess Algorithm


Information Theoretic Smoothing Algorithms for Dynamic Systems with or without Interference

I. Introduction

II. Smoothing Algorithms

III. Applications of the Smoothing Algorithms

IV. Numerical Experiments

V. Conclusions

Appendix A. Theorem

Appendix B. Approximation of an Absolutely Continuous Random Vector by a Discrete Random Vector


A New Approach for Developing Practical Filters for Nonlinear Systems

I. Introduction

II. Problem Formulation

III. Proposed Solutions

IV. Conclusions


Applications of Filtering Techniques to Problems in Communication-Navigation Systems

I. Introduction

II. A Unified Approach to Detection, Estimation, and System Identification

III. Optimal Nonlinear Estimation

IV. Suboptimal Nonlinear Estimation

V. Applications

VI. VHSIC-VLSI Implementation

VII. Summary




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© Academic Press 1984
Academic Press
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About the Editor

C.T. Leonides

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