Discrete-Time Control Systems (2nd Edition)

In-depth discussions of selected topics (such as Z transform, and pole placement when the control signal was a vector quantity) have been moved to optional Appendices. discusses in detail the theoretical background for designing control systems. offers a greatly expanded treatment of the pole placement design with minimum-order observer by means of state space approach (Ch. 6) and polynomial equations approach (Ch. 7). features a new chapter on the polynomial equations approach to the control systems design — as an alternative to the design of control systems via pole placement with minimum-order observers. Includes the design of model matching control systems. emphasizes the usefulness of MATLAB for studying discrete-time control systems — showing how to use MATLAB optimally to obtain numerical solutions that involve various types of vector-matrix operations, plotting response curves, and system design based on quadratic optimal control. presents many instructive examples and worked-out problems throughout the entire book.

A comprehensive treatment of the analysis and design of discrete-time control systems which provides a gradual development of the theory by emphasizing basic concepts and avoiding highly mathematical arguments. The book features comprehensive treatment of pole placement, state observer design, and quadratic optimal control.

FEATURES:

• In-depth discussions of selected topics (such as Z transform, and pole placement when the control signal was a vector quantity) have been moved to optional Appendices.
• discusses in detail the theoretical background for designing control systems.
• offers a greatly expanded treatment of the pole placement design with minimum-order observer by means of state space approach (Ch. 6) and polynomial equations approach (Ch. 7).
• features a new chapter on the polynomial equations approach to the control systems design — as an alternative to the design of control systems via pole placement with minimum-order observers. Includes the design of model matching control systems.
• emphasizes the usefulness of MATLAB for studying discrete-time control systems — showing how to use MATLAB optimally to obtain numerical solutions that involve various types of vector-matrix operations, plotting response curves, and system design based on quadratic optimal control.
• presents many instructive examples and worked-out problems throughout the entire book.

"Sobre este título" puede pertenecer a otra edición de este libro.