Addressed not only to students but also to professional engineers and scientists, this volume introduces State-Space Methods for direct applications to Control System design, in addition to providing background for reading the periodical literature.
Many of the models are drawn from aerospace and inertial instrumentation; other examples are derived from chemical process control, maritime operations, robotics, and energy systems..
Concrete examples of how State-Space Methods can be used to advantage in several representative applications are woven into the fabric of the text and the homework problems.
Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters.
Topics include feedback control; State-Space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response.
Its presentation, therefore, is suitable both for those who require Methods for achieving results and those more interested in using results than in proving them.
Addressed not only to students but also to professional engineers and scientists, this volume introduces State-Space Methods for direct applications to Control System design, in addition to providing background for reading the periodical literature
