Sampled-Data Optimal Design and Robust Stabilization

1992 ◽  
Vol 114 (4) ◽  
pp. 538-543 ◽  
Author(s):  
Tongwen Chen ◽  
Bruce A. Francis

This paper considers sampled-data control of time-delay systems. First we show that under a certain nonpathological sampling condition, a sampled-data system is internally stable in continuous time if and only if the corresponding discretized system is stable in discrete time. Based on this, we then study two sampled-data design problems for (unstable) time-delay systems: ℋ2-optimal disturbance attenuation and robust stabilization. In both cases, the sampled-data problem can be recast via operator methods as exactly a discrete-time problem and hence be solved using known techniques.

2002 ◽  
Vol 339 (2) ◽  
pp. 231-238 ◽  
Author(s):  
Lisheng Hu ◽  
Yongyan Cao ◽  
Chuwang Cheng ◽  
Huihe Shao

2019 ◽  
Vol 487 ◽  
pp. 193-207 ◽  
Author(s):  
Zhenbin Du ◽  
Yonggui Kao ◽  
Ju H. Park

Author(s):  
Bemri H'mida ◽  
Mezlini Sahbi ◽  
Soudani Dhaou

Many works are related to the analysis and control of either continuous or else discrete time-delay systems. In general, discrete-time controls have become more and more preferable in engineering because of their easy implementation and simple computation. However, the available discretization approaches for the systems having time delays increase the system dimensions and have a high computational cost. The case studies in this chapter support the efficiency of the two methods. However, the discretization of continuous time-delay systems has not been sufficiently/extensively studied in many works. In this work, the authors present two methods of the effective discretization approach for the continuous-time systems with an input and output delays. Sampled-data time-delay systems with internal and external point delays are described by approximate discrete time-delay systems in the discrete domain. These approximate discrete systems allow the hybrid control of time-delay systems.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 32376-32384 ◽  
Author(s):  
Zifang Qu ◽  
Zhengdi Zhang ◽  
Zhenbin Du

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