scholarly journals Dynamic output feedback sliding mode control for uncertain linear systems

Author(s):  
Jiehua Feng ◽  
Dongya Zhao ◽  
Xing-Gang Yan ◽  
Sarah K Spurgeon

In this paper, a class of uncertain linear systems with unmatched disturbances is considered, where the nominal system representation is allowed to be non-minimum phase. A sliding surface is designed which is dependent on the system output, observed state, and estimated uncertain parameters. A linear coordinate transformation is introduced so that the stability analysis of the reduced-order sliding mode dynamics can be conveniently performed. A robust output feedback sliding mode control (OFSMC) is then designed to drive the considered system state to reach the sliding surface in finite time and maintain a sliding motion thereafter. A simulation example for a high incidence research model (HIRM) aircraft is used to demonstrate the effectiveness of the proposed method.

2005 ◽  
Vol 38 (1) ◽  
pp. 717-722
Author(s):  
José Paulo ◽  
V.S. Cunha ◽  
Liu Hsu ◽  
Ramon R. Costa ◽  
Fernando Lizarralde

2007 ◽  
Vol 40 (13) ◽  
pp. 127-132
Author(s):  
Kazuki Eguchi ◽  
Zenta Iwai ◽  
Ikuro Mizumoto ◽  
Toshirou Funasako ◽  
Makoto Kumon

Author(s):  
A. J. Mehta ◽  
B. Bandyopadhyay

In this paper, a multirate output feedback (MROF) based discrete-time sliding mode control for the stochastic system with slowly varying bounded uncertainty is proposed. The states are estimated by the multirate Kalman filter and are used for designing the stochastic sliding mode controller which guarantee the stability under the bounded uncertainty and the uncertain noise covariance. The proposed algorithm has advantage of computational and implementation simplicity as it requires only the past output and input information. The stochastic sliding band (SSB) is also calculated which is found to be wider as compared to the state feedback case. Finally, the design procedure for stochastic sliding mode controller is demonstrated with an illustrative example.


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