Control and Dynamic Systems: Advances in Theory and Application, Volume 16 is concerned with applied dynamic systems control techniques. It describes various techniques for system modeling, which apply to several systems issues.
This book presents a comprehensive treatment of powerful algorithmic techniques for solving dynamic-system optimization problems. It also describes approaches for systems model that apply to system issues such as time delays. The remaining chapters of this book explore the simulation of large closed-loop systems and optimization of low-order feedback controllers for discrete-time systems.
Researchers who wish to broaden their understanding of dynamic systems control techniques will find this book invaluable.
Contributors Preface Contents of Previous Volumes Gradient Algorithms for the Optimization of Dynamic Systems I. Introduction II. Statement of the Problems III. Sequential Gradient-Restoration Algorithm IV. Determination of the Basic Functions V. Determination of the Stepsizes VI. Summary of the Algorithm VII. Experimental Conditions VIII. Numerical Examples, Problem P1 IX. Numerical Examples, Problem P2 X. Discussion and Conclusions References Modal Methods in Optimal Control Synthesis1. Introduction 2. An Optimal Smoother-Follower Problem 3. Solution of the Smoother-Follower Problem for Time-Invariant Systems 4. Time-Invariant Filters and Regulators 5. The Optimal Time-Invariant Compensator Appendix A Appendix B References
Linear Time-Invariant Robust Servomechanism Problem: a Self-Contained Exposition I. Introduction II. Problem Formulation III. Design of a Robust Servomechanism IV. Characterization of a Minimal-Order Robust Feedback Controller V. Necessity of the Rank Condition VI. Asymptotic Tracking/Disturbance Rejection and Transmission Zeros VII. The Discrete-Time Case VIII. Conclusion IX. Notes on Literature References Parameter Identification of Linear Discrete Stochastic Systems with Time Delays I. Introduction II. Problem Formulation and Maximum Likelihood Identification III. Discrete Minimum-Variance Filter for Linear Time-Delay Systems IV. Discrete Minimal-Order Observer for Linear Time-Delay Systems V. The Identification Algorithm VI. Example VII. Summary and Conclusions References UDUT Covariance Factorization for Kalman Filtering I. Introduction II. Discrete-Time Linear Filter Algorithm Overview III. U-D Filter and Error Analysis Algorithms IV. Exploiting Problem Structure V. Numerical Comparis
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- © Academic Press 1980
- 28th July 1980
- Academic Press
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