Robust Adaptive SMC for Uncertain DOSs

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 430)

Introduction

Robustness of a control system is very important since there exist many various uncertainties in practical application. In the theory of robust control, it has been frequently encountered in several class of systems which include NCSs [66, 68], quantized control systems [67], discrete singular hybrid systems [264], input delay systems [289, 291], state delay systems [12, 74, 75, 88] and so on. Goodwin constructed delta operator instead of traditional shift operator for sampling continuous systems [82]. The model parameters in DOS will approach to the ones in continuous system as sampling period approach to zero, so as control results [54]. It has been shown better numerical properties by using delta operator than using shift operator at high sampling rates in [219]. The robustness problem for DOSs with parametric uncertainties was first presented in [215]. Traditionally, SMC as a general design tool for robust control systems has been gained much attention. The problems of SMC for linear systems with time delays have been investigated in [211, 254, 259, 260] and so on.

Keywords

Delta Operator Robust Control System State Delay System Adaptive Slide Mode Controller Uniformly Ultimately Bound 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Hongjiu Yang
    • 1
  • Yuanqing Xia
    • 2
  • Peng Shi
    • 3
  • Ling Zhao
    • 4
  1. 1.Institute of Electrical EngineeringYanshan UniversityQinhuangdaoChina, People’s Republic
  2. 2.School of AutomationBeijing Institute of TechnologyBeijingChina, People’s Republic
  3. 3.Department of Computing and Mathematical SciencesUniversity of GlamorganPontypriddUnited Kingdom
  4. 4.College of Mechanical EngineeringYanshan UniversityQinhuangdaoChina, People’s Republic

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