Double-Observer-Based Bumpless Transfer Control of Switched Positive Systems

Author:

Yang Yahao1,Huang Zhong1,Zhang Pei1

Affiliation:

1. School of Information and Communication Engineering, Hainan University, Haikou 570228, China

Abstract

This paper investigates the bumpless transfer control of linear switched positive systems based on state and disturbance observers. First, state and disturbance observers are designed for linear switched positive systems to estimate the state and the disturbance. By combining the designed state observer, the disturbance observer, and the output, a new controller is constructed for the systems. All gain matrices are described in the form of linear programming. By using co-positive Lyapunov functions, the positivity and stability of the closed-loop system can be ensured. In order to achieve the bumpless transfer property, some additional sufficient conditions are imposed on the control conditions. The novelties of this paper lie in that (i) a novel framework is presented for positive disturbance observer, (ii) double observers are constructed for linear switched positive systems, and (iii) a bumpless transfer controller is proposed in terms of linear programming. Finally, two examples are given to illustrate the effectiveness of the proposed results.

Funder

Joint Fund of Ministry of Education for Equipment Pre-Research

Academician Innovation Platform Special Research Project of Hainan Province

Key research and development project of Hainan province

Independent Innovation Fund of Tianjin University-Hainan University

Research Startup Fund of Hainan University

Publisher

MDPI AG

Reference42 articles.

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2. Kaczorek, T. (2002). Positive 1D and 2D Systems, Springer.

3. Luenberger, D.G. (1979). Introduction to Dynamic Systems, Wiley.

4. Zhang, J., Jia, X., and Zhang, R. (2017, January 26–28). Parameter-dependent Lyapunov function based model predictive control for positive systems and its application in urban water management. Proceedings of the IEEE 2017 36th Chinese Control Conference, Dalian, China.

5. Caswell, H. (2001). Matrix Population Models: Construction, Analysis, and Interpretation, Sinauer Associates.

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