|Other titles||Robust and H control|
|Statement||Ben M. Chen.|
|Series||Communications and control engineering|
|LC Classifications||TJ217.2. C48 2000|
|The Physical Object|
|Pagination||xii, 446 p. ;|
|Number of Pages||446|
|LC Control Number||99462023|
Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, by: H-infinity control theory deals with the minimization of the H-infinity-norm of the transfer matrix from an exogenous disturbance to a pertinent controlled output of a given and H-infinity Control examines both the theoretical and practical aspects of H-infinity control from the angle of the structural properties of linear systems. The focus of the book has been placed on H ∞ state feedback control, H ∞ filtering, and H ∞ output feedback control for multimodel systems via nonmonotonic LF approaches. Select Chapter 2 - Robust H∞ State Feedback Controller Design of Discrete-Time T-S Fuzzy Systems: A Nonmonotonic Approach. Summary: Non-monotonic Approach to Robust H∞ Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction.
2. Loop-shaping H-infinity Synthesis 3. Two Degrees-of-Freedom Controllers 4. Extensions and Optimizations Appendix 1. Demonstrative Elements on the Optimization of Robust Stabilization with Order Constraint Appendix 2. Establishment of Real LMIs for the Quasi-Convex Problem of Optimization of the Weighting Functions. 32 rows The main objective of this monograph is to present a broad range of well Cited by: 9. H ∞ (i.e. "H-infinity") methods are used in control theory to synthesize controllers to achieve stabilization with guaranteed performance. To use H ∞ methods, a control designer expresses the control problem as a mathematical optimization problem and then finds the controller that solves this optimization. H ∞ techniques have the advantage over classical control techniques in that H. Robust Control of Uncertain Systems and H-infinity Optimization, PhD dissertation, Control Science and Dynamical Systems, University of Minnesota, Advisor: Prof. P. P. Khargonekar. Books. Kemin Zhou, John C. Doyle, and Keith Glover, Robust and Optimal Control, Prentice Hall, (Used worldwide as graduate textbook and research references.
Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. Focusing on the optimal control of linear systems, the third part discusses the standard theories of the linear quadratic regulator, H infinity and l 1 optimal control, and associated results. Written by recognized leaders in the field, this book explains how control theory can be applied to the design of real-world systems. [Chandrasekharan96] Chandrasekharan, P., C., Robust Control of Linear Dynamical Systems, Academic Press, Notes: This book attempts to bring the complex techniques for robust control out of research results to the practicing engineer. Of the many books on robust control this appears to be the most readable. This example shows how to use Robust Control Toolbox™ to design a robust controller (using D-K iteration) and to do robustness analysis on a process control problem. Norms and Singular Values For MIMO systems the transfer functions are matrices, and relevant measures of gain are determined by singular values, H ∞, and H 2 norms.