2019/04/13 by Thang Nguyen, Christopher Edwards, Nguyen, Thang +5
Engineering · #Adaptive Control of Nonlinear Systems #Advanced Control Systems Optimization #FOS: Electrical engineering #Iterative Learning Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1904.06489
openalex publication_date 2019/04/13 · openalex created_date 2019/04/25 · openalex updated_date 2026/07/28
In this paper, the problem of output feedback sliding mode control of linear sampled-data multi-input multi-output systems is considered. Existing sliding mode control schemes can attenuate the influence of an external disturbance by driving system states onto a sliding surface. However, they can exhibit high gains during transients, which can be O(1/T) where T is the sampling time period. To address this problem, a new strategy, which employs disturbance approximation, is proposed so that the control effort will be O(1). The new method avoids deadbeat phenomena and hence, it will be less sensitive to noise. Theoretical analysis is provided to show the convergence and robustness of the proposed method. Simulations were conducted to show the efficiency of the proposed approach.