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Control and Dynamic Systems V21
Advances in Theory and Applications
- 1st Edition - November 14, 2012
- Editor: C.T. Leonides
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 3 1 2 2 2 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 5 0 2 0 - 0
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… Read more
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Request a sales quoteControl 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.
Contributors
Preface
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
References
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
References
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
References
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
References
A New Approach for Developing Practical Filters for Nonlinear Systems
I. Introduction
II. Problem Formulation
III. Proposed Solutions
IV. Conclusions
References
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
References
Index
- No. of pages: 442
- Language: English
- Edition: 1
- Published: November 14, 2012
- Imprint: Academic Press
- Paperback ISBN: 9780124312227
- eBook ISBN: 9780323150200
Read Control and Dynamic Systems V21 on ScienceDirect