International Journal of Control, Automation and Systems 2018; 16(2): 505-511
Published online April 7, 2018
https://doi.org/10.1007/s12555-016-0800-5
© The International Journal of Control, Automation, and Systems
This paper will research the problem of static output feedback (SOF) stabilization of state-constrained switched linear systems via an improved average dwell time method (ADT). Firstly, an improved ADT method is adopted to establish sufficient conditions for SOF of the state-constrained switched linear systems in the form of matrix inequality. It has been shown that this method is less conservative than traditional ADT, which in view of different decay rates of a Lyapunov function related to an active subsystem on the basis of whether the saturations occur or not. Then, a new iterative algorithm is designed to solve the matrix inequality and a SOF controller can be added. In the iterative linear matrix inequality (ILMI) algorithm, it is important not only to overcome the typical bilinear matrix inequality (BMI) problem of SOF, but also to solve the non-convex problem caused by state constraints. Finally, the availability and the applicability of the proposed method is shown by the application of a boost converter."
Keywords Average dwell time, state constraints, static output feedback, switched systems.
International Journal of Control, Automation and Systems 2018; 16(2): 505-511
Published online April 1, 2018 https://doi.org/10.1007/s12555-016-0800-5
Copyright © The International Journal of Control, Automation, and Systems.
Qingyu Su, Haichao Zhu, and Jian Li*
Northeast Electric Power University
This paper will research the problem of static output feedback (SOF) stabilization of state-constrained switched linear systems via an improved average dwell time method (ADT). Firstly, an improved ADT method is adopted to establish sufficient conditions for SOF of the state-constrained switched linear systems in the form of matrix inequality. It has been shown that this method is less conservative than traditional ADT, which in view of different decay rates of a Lyapunov function related to an active subsystem on the basis of whether the saturations occur or not. Then, a new iterative algorithm is designed to solve the matrix inequality and a SOF controller can be added. In the iterative linear matrix inequality (ILMI) algorithm, it is important not only to overcome the typical bilinear matrix inequality (BMI) problem of SOF, but also to solve the non-convex problem caused by state constraints. Finally, the availability and the applicability of the proposed method is shown by the application of a boost converter."
Keywords: Average dwell time, state constraints, static output feedback, switched systems.
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