UID:
almafu_9960073751702883
Umfang:
1 online resource (336 pages)
ISBN:
0-323-15544-8
Serie:
Control and dynamic systems : advances in theory and applications ; v. 23
Anmerkung:
Front Cover; Decentralized/Distributed Control and Dynamic Systems; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; Chapter 1. Multimodeling, Singular Perturbations, and Stochastic Decision Problems; I. Introduction; II. Modeling and Control of Stochastic Singularly Perturbed Systems; III. Multimodeling by Singular Perturbations; IV. Multiagent Decision Problems; V. Conclusions; References; Chapter 2. Resource Management of Time-Critical Data Processing Systems; I. Introduction; II. Single-Processor Load Dynamics; III. Performance Measures; IV. Control Strategies; V. BMD Example
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VI. Global Object Reallocation; VII. Summary and Conclusion; Appendix; References; Chapter 3. Parametrical Optimization Approach for Decentralized Regulation of Discrete Systems; I. Introduction; II. Mathematical Formulation: The Gradient Matrix; III. Numerical Algorithm for the Decentralized Gain Determination; IV. Determination of a Stabilizing Initial Gain; V. Conclusion; References; Chapter 4. Decentralized Optimal Control for Large-Scale Interconnected Systems; I. Introduction; II. Decentralized Optimal Control Problem; III. Single-Input Subsystems; IV. Multi-Input Subsystems
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V. Illustrative Example; VI. Conclusion; Appendix; References; Chapter 5. Techniques in Model Reduction for Large-Scale Systems; I. Introduction; II. The Theory of Aggregation; III. The Dominant Pole Approach; IV. Pade-Type Approximant and Partial Realization; V. Routh Approximation; VI. Perturbation Method; VII. Error Minimization Approach; VIII. Applications; IX. Conclusions; References; Chapter 6. Optimal Estimation Theory for Distributed Parameter Systems; I. Introduction; II. System Modeling; III. Description of the Estimation Problems; IV. Wiener-Hopf Theorem
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V. Derivation of the Optimal Predictor; VI. Derivation of the Optimal Filter; VII. Derivation of the Optimal Smoothing Estimator; VIII. Optimal Sensor Location; IX. Conclusions; References; Chapter 7. The Linear-Quadratic Control Problem; I. Introduction; II. Preliminaries and Problem Formulation; III. First-Order Necessary Conditions for Optimality; IV. Solution of the Linear-Quadratic Problem Using the First-Order Necessary Conditions-A Transition Matrix Approach; V. The Symplectic Property of the Transition Matrix of Hamiltonian Systems; VI. The Riccati Matrix Differential Equation
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VII. A Canonical Transformation of the Hamiltonian System; VIII. Necessary and Sufficient Condition for the Positivity of the Quadratic Cost Criterion; IX. The Linear-Quadratic Problem with Linear Terminal Constraints- A Transition Matrix Approach; X. Normality and Controllability for the Linear-Quadratic Problem; XI. Necessary and Sufficient Condition for the Positivity of the Terminally Constrained Quadratic Cost Criterion; XII. Further Properties of the Solution of the Matrix Riccati Equation; XIII. The Linear Regulator Problem; XIV. Summary and Extensions; References; Chapter 8. A Ritz-Type Optimization Method for Optimal Control Problems and Its Application to Hierarchical Final-Value Controllers
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English
Weitere Ausg.:
ISBN 0-12-012723-7
Sprache:
Englisch
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