Constrained PI tracking control for output probability distributions based on two-step neural networks

Authors:
Yang Yi;Lei Guo;Hong Wang
Affiliations:
Department of Automation, College of Information Engineering, Yangzhou University, Yangzhou, China and Research Institute of Automation, Southeast University, Nanjing, China;School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China;Control Systems Center, University of Manchester Institute of Science and Technology, Manchester, UK and Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Year:
2009

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Abstract

This paper presents the novel design of a second-order continuous-time low-power and low-voltage ΣΔ modulator. The modulator illustrates a design philosophy based on taking advantage of the extended number of degrees of freedom of the floating-gate ...