This course deals with the design of practical control algorithms for linear and nonlinear dynamic processes that are described by state-space mathematical models. The “observer-based” design method is emphasized, in which the control algorithm is designed in two distinct steps: full-state feedback design, and observer design. Full-state feedback is based on the assumption that all process state variables can be measured or estimated, and the observer is designed to provide estimates of the state variables based on the available measurements.
Topics to be covered included the extended linearization, bounded control including pulse-width and pulse frequency modulation, Kalman filters as optimum observers, friction and other “parasitic” nonlinearities.
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“The trainer is very knowledgeable and the materials was very well organized and delivered. We have gained a comprehensive understanding in radar system for radar application. Thanks a lot!.”
Senior Member of Technical Staff, DSO National Laboratories
Radar Systems Design and Engineering, July 2012
“K2B International has a good selection of trainer. The trainer is knowledgeable and his presentation was clear.”
Research Engineer, Electronic Systems Division, DSO National Laboratories
Radar Systems Design and Engineering, July 2012
“The course was well presented and the trainer showed good knowledge of topics.”
Senior Software Engineer, ST Aerospace
Radar Signal Processing 2010