Consider actuator fault reliable pole placement in mixed region
Fuzhong Wang, Xin Jian
Abstract
Fuzhong Wang, Xin Jian
Abstract
For a class of linear invariant time systems, this paper not only gives the necessary and sufficient conditions of poles in the centrifugal sector region, but also presents an LMI (Linear Matrix Inequality) based approach to design a state-feedback reliable controller for mixed region. A more practical continuous model of actuator failures than discrete model is considered, we present the sufficient condition for existence of the state feedback reliable controller. By solving the LMI, determine the parameter matrix of the robust reliable controller. The reliable controller given can keep from the influence of actuator faults and achieve pole placement in the mixed region. A numerical example is given to show the effectiveness and the feasibility of the obtained results.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
For a class of linear invariant time systems, this paper not only gives the necessary and sufficient conditions of poles in the centrifugal sector region, but also presents an LMI (Linear Matrix Inequality) based approach to design a state-feedback reliable controller for mixed region. A more practical continuous model of actuator failures than discrete model is considered, we present the sufficient condition for existence of the state feedback reliable controller. By solving the LMI, determine the parameter matrix of the robust reliable controller. The reliable controller given can keep from the influence of actuator faults and achieve pole placement in the mixed region. A numerical example is given to show the effectiveness and the feasibility of the obtained results.
Key concepts: Control theory (sociology), Full state feedback, Actuator, Linear matrix inequality, Controller (irrigation), Computer science, LTI system theory, State (computer science)