Robust Adaptive SMC for Uncertain DOSs

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• 作者：Hongjiu Yang (1) yanghongjiu@126.com
  Yuanqing Xia (2) xia_yuanqing@bit.edu.cn
  Peng Shi (3) Pengshiuk@gmail.com
  Ling Zhao (4) zhaoling84@gmail.com
• 刊名：Lecture Notes in Control and Information Sciences
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：430
• 期：1
• 页码：35-47
• 全文大小：347.7 KB
• 作者单位：1. Institute of Electrical Engineering, Yanshan University, Hebei Avenue 438, 066004 Qinhuangdao, China, People鈥檚 Republic2. School of Automation, Beijing Institute of Technology, 100081 Beijing, China, People鈥檚 Republic3. Department of Computing and Mathematical Sciences, University of Glamorgan, CF37 1DL Pontypridd, United Kingdom4. College of Mechanical Engineering, Yanshan University, Qinhuangdao, China, People鈥檚 Republic
• 刊物类别：Engineering
• 刊物主题：Control Engineering
  Vibration, Dynamical Systems and Control
  
• 出版者：Springer Berlin / Heidelberg

文摘

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.