Control System Design: An Introduction to State-Space Methods

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Control systems design: An introduction to state-space methods

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Click OK to close the Internet Options popup. Chrome On the Control button top right of browser , select Settings from dropdown. Under the header JavaScript select the following radio button: Allow all sites to run JavaScript recommended. Prices and offers may vary in store. Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response.

Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters.


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  • Control System Design: An Introduction to State-Space Methods Complete?

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. 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.

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Control system design: an introduction to state-space methods

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Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters. 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.

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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. Adaptive Control: Second Edition. Optimal Control: Linear Quadratic Methods.

Optimal Control Theory: An Introduction. Digital Filters.


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