Control and Dynamic Systems V21

Control and Dynamic Systems V21

Advances in Theory and Applications

1st Edition - September 14, 1984

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  • Editor: C.T. Leonides
  • eBook ISBN: 9780323150200

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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

  • Contributors


    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



Product details

  • No. of pages: 442
  • Language: English
  • Copyright: © Academic Press 1984
  • Published: September 14, 1984
  • Imprint: Academic Press
  • eBook ISBN: 9780323150200

About the Editor

C.T. Leonides

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