Control and Dynamic Systems: Advances in Theory in Applications, Volume 28: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems.
This book presents algorithms and numerical techniques used for the analysis and control design of stochastic linear systems with multiplicative and additive noise. It also discusses computational techniques for the matrix pseudoinverse in minimum variance reduced-order filtering and control; decomposition technique in multiobjective discrete-time dynamic problems; computational techniques in robotic systems; reduced complexity algorithm using microprocessors; algorithms for image-based tracking; and modeling of linear and nonlinear systems. This volume will be an important reference source for practitioners in the field who are looking for techniques with significant applied implications.
Preface Algorithms and Computational Techniques in Stochastic Optimal Control I. Introduction II. Review of Stochastic Optimal Control III. Modeling, Optimal Control, Estimation, Identification, and Design of Stochastic Systems IV. Conclusions References Computational Techniques for the Matrix Pseudoinverse in Minimum Variance Reduced-Order Filtering and Control I. Introduction II. Counterexamples to Two Questionable Pseudoinverse Algorithms III. Proper Calculation of Matrix Pseudoinverse by Validated Software: A Status Review IV. A Survey of Pseudoinverse Applications V Dependence of Minimum Variance Reduced-Order Filtering on the Pseudoinverse VI. Summary VII. Appendix A: Theoretical Basis for the Pseudoinverse of a Continuous Linear Transformation VIII. Appendix B: Longhand Calculation of a Matrix Pseudoinverse IX. Appendix C: An Application of the Pseudoinverse in Minimum Energy Optimal Control References Decomposition Technique in Multiobjective Discrete-Time Dynamic Problems: The Envelope Approach I. Introduction II. Basic Theorem of the Envelope Approach III. Multiobjective Dynamic Programming Method Using the Envelope Approach IV. Hierarchical Generating Methods V. Conclusions References Algorithms and Computational Techniques in Robotic Systems I. Introduction II. Manipulator Dynamics and Control Methods III. Stability Analysis and Simulation IV. Physical Modeling of Flexible Manipulators V Control Schemes and Simulation VI. Discussion and Conclusion References A Methodology Based on Reduced Complexity Algorithm for System Applications Using Microprocessors I. Introduction II. Linear Equalizer III. Branch-and-Bound Algorithm IV Hardware and Software Descriptions V Numerical Results and Conclusions References Algorithms for Image-Based Trackers of
- No. of pages:
- © Academic Press 1988
- 28th December 1988
- Academic Press
- eBook ISBN: