Advances in control systems. theory and applications / Volume 1 :
Advances in Control Systems.
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York :
Academic Press,
1964
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Colección: | Advances in Control Systems.
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Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Advances in Control Systems: Theory and Applications; Copyright Page; CONTRIBUTORS; PREFACE; Table of Contents; Chapter 1. On Optimal and Suboptimal Policies in Control Systems; I. Introduction; II. Stochastic and Adaptive Control Systems; III. Approximate Realization of Desired Trajectories; IV. Existence of Optimal Controls; References; Chapter 2. The Pontryagin Maximum Principle and Some of Its Applications; I. The Maximum Principle; II. Properties of Optimal Controls; III. An Application Study; References; Chapter 3. Control of Distributed Parameter Systems; I. Introduction
- II. System DescriptionIII. Intrinsic Properties; IV. Optimum Control; V. Problems in Approximation and Computation; VI. Practical Aspects of Control; VII. Concluding Remarks; References; Chapter 4. Optimal Control for Systems Described by Difference Equations; I. Introduction; II. Statement of the Problem; III. Set of Reachable Events and Huygens' Construction; IV. Principle of Optimal Evolution; V.A First Approach to the Maximum Principle; VI. Comoving Space Along a Trajectory; VII. Closure and Convexity of the Sets W(i) and W(i); VIII. A General Proof of the Maximum Principle
- IX. Existence TheoremReferences; Chapter 5. An Optimal Control Problem with State Vector Measurement Errors; I. Introduction and Preliminaries; II. Optimal Control in the Presence of State Vector Measurement Errors; III. Optimal Control in the Presence of Measurement Errors and Continuous Random Disturbances; IV. Optimal Control in the Presence of Measurement Errors and Random Disturbances Derived from the Generalized Poisson Process ; V. Conclusions; VI. Appendices; References; Chapter 6. On Line Computer Control Techniques and Their Application to Re-entry Aerospace Vehicle Control
- I. IntroductionII. Optimum Linear Discrete Control; III. Synthesis of Control Forces with Inequality Constraints; IV. Identification of Process Parameters-Explicit Mathematical Relation Method; V. Identification of Process Parameters-Learning Model Method; VI. State Variable Estimation; VII. Application to the Re-entry Flight Control Problem; VIII. Summary and Suggested Extensions; Appendix 1: Notation and Concise Statement of Problems; Appendix 2: A Brute Force Method for the Quadratic Programming Problem; Appendix 3: Quadratic Programming Theorems
- Appendix 4: A Recursive Method to Obtain the Best EstimateAppendix 5: Correspondence between Greville's and Kalman's Recursive Procedures; List of Symbols; References; Author Index; Subject Index