• DocumentCode
    3744252
  • Title

    Anti-windup design for systems with input quantization

  • Author

    Jorge Sofrony;Matthew Turner

  • Author_Institution
    Faculty of Engineering, Universidad Nacional de Colombia, Bogota, Colombia
  • fYear
    2015
  • Firstpage
    7586
  • Lastpage
    7591
  • Abstract
    This paper presents a full-order anti-windup compensation strategy for LTI systems with input quantization. The anti-windup compensator functions by comparing the quantized and un-quantized control signal and attempting to ensure that the system´s behavior with quantization is close as possible to the ideal system behavior without quantization. The paper proposes an anti-windup compensator which can provide ultimate boundness stability conditions and also guarantee large-signal ℒ2 gain bounds. The problem is tackled by using the sector and boundness characteristics of the quantizer. The conditions for ultimate boundedness and large signal ℒ2 gain are formulated as a convex optimization problem which allows one to trade-off the size of the ball of ultimate boundedness with the ℒ2 performance objectives. The effectiveness of the proposed technique is shown through a simulation example.
  • Keywords
    "Quantization (signal)","Stability analysis","Asymptotic stability","Linear systems","Robot sensing systems","Symmetric matrices","Networked control systems"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7403418
  • Filename
    7403418