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Stochastic robustness in switched systems: A novel control strategy for random time-iteration driven switching | ||
| Journal of Hyperstructures | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 18 خرداد 1404 اصل مقاله (1.65 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22098/jhs.2025.15886.1045 | ||
| نویسنده | ||
| Omprakash Dewangan* | ||
| Indira Gandhi Govt. College Pandaria, Distt.- Kabirdham, Hemchand Yadav Vishwavidyalaya Durg, Chhattisgarh, India. | ||
| چکیده | ||
| This paper addresses the control of a category of continuous-time linear systems that switch between different modes, where the switching signals are driven by random time-iteration. The system under consideration is subject to uncertainties in the system dynamics and observation noise in the output measurements. We propose a robust control strategy that Accounting for the random nature of the switching signals and the system uncertainties. The learning performance is examined using the Lebesgue-p norm, leading to the derivation of a sufficient condition for convergence. The findings demonstrate that the proposed control law effectively addresses the tracking problem in switched systems, Especially when the switching rules are expanded to the time-iteration domain using a stochastic framework, we introduce a groundbreaking control approach that guarantees the system's performance despite uncertainties and noise. Through rigorous theoretical analysis, we prove the effectiveness of our suggested approach in achieving robust control and estimation performance.The results of this research contribute to the advancement of control theories and have potential applications in various fields, including power systems, robotics, and process control. | ||
| کلیدواژه‌ها | ||
| Linear Continuous-Time Switched Systems؛ Random Time-Iteration؛ System Uncertainties؛ Observation Noise؛ Robust Control | ||
| مراجع | ||
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Fractional order PDα-type ILC for linear continuous time-delay switched system with disturbance measurement and uncertainties noise, J Hyperstruct., 13(2) (2024), 305-320. | ||
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