Control and dynamic systems : advances in theory and applications. Volume 30, Advances in algorithms and computational techniques in dynamic systems control. Part 3 of 3 /
Control and Dynamic Systems V30: Advances in Algorithms and Computational Techniques in Dynamic System Control Part 3 of 3.
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Diego :
Academic Press,
�1989.
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Colección: | Control and dynamic systems ;
v. 30. |
Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; Chapter 1. Computational Techniques for Multicriteria Stochastic Optimization and Control; I. Introduction; II. Problem Definition; III. Solution Methodologies; IV. Stochastic Multicriteria Optimization and Control; V. Multicriteria Optimization for Adaptive/Stochastic Control; VI. Concluding Remarks; References; Chapter 2. Gain Transfer: An Algorithm for Decentralized Hierarchical Estimation; I. Introduction
- II. Gain Transfer: An Algorithm for Decentralized Hierarchical EstimationIII. Test Problem; IV. Evaluation of the Gain Transfer Algorithm; V. Applications of the Gain Transfer Algorithm; VI. Further Research Opportunities; VII. Conclusion; Appendix. Test Problem: Multisensor Alignment; References; Chapter 3. Algorithms for Systems with Multiplicative Noise; I. Introduction; II. Filtering, Smoothing, Prediction; III. Control Algorithms; IV. Conclusion; References; Chapter 4. Proportional Navigation and the Game of Two Cars: The Case Where Both Players Have a Variable Speed; I. Introduction
- II. The Equations of MotionIII. Formulation of the Problem; IV. Computation of Feedback Strategies; V.A Numerical Study; VI. Conclusions; Appendix. The Finite-Difference Scheme; References; Chapter 5. Algorithms for Optimal Searching and Control Systems for a Markovian Target; I. Introduction; II. Formulation of Searching Problems; III. Searching Equations and Search Function; IV. Simulation Experiments for Searching; V. Optimal Search; VI. Conclusions; References; Chapter 6. Recursive Estimation, Forecasting, and Adaptive Control; I. Introduction; II. The Time-Series Model
- III. Signal Processing and Time-Series AnalysisIV. Model Identification and Parameter Estimation; V. Fixed Gain and Adaptive Control; VI. Recursive Forecasting of Nonstationary Time Series; VII. Conclusions; References; Chapter 7. Algorithms for Design of Teleoperated Systems; I. Introduction; II. Modeling the Human Operator; III. The Generalized Operator Model; IV. Simplification of the Operator Model; V. Conclusions; Appendix. Analytical Development of Propositions; References; Chapter 8. Algorithms for Discrete Systems with Multi-Time Scales; I. Introduction
- II. Discrete Multiple-Time-Scale SystemsIII. Feedback Control Design; IV. Linear Quadratic Regulators; V. Discussion and Concluding Remarks; References; INDEX