Integrated instrumentation and control design using finite signal-to-noise models
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abstract
In this paper, new signal-to-noise models are used to characterize instrumentation design specifications and an integration of control and instrumentation design is achieved by simultaneously designing the feedback control law and the instrument signal-to-noise ratios to meet performance requirements for the closed loop system. Iterative algorithms are proposed to find locally optimal solutions. Assuming that the signal-to-noise ratio is directly related to the instrumentation cost, this integration provides a systematic procedure to design a low cost control system. More importantly, this procedure identifies the performance limiting component of a closed loop system. 1998 AACC.
name of conference
Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)
published proceedings
Proceedings of the 2010 American Control Conference