6533b82dfe1ef96bd12908f5
RESEARCH PRODUCT
Robust control of stochastic systems against bounded disturbances with application to flight control
Ming LiuLixian ZhangHamid Reza KarimiPeng Shisubject
EngineeringMathematical optimizationObserver (quantum physics)business.industryInput disturbanceintegral sliding-mode control (SMC)Computer Science Applications1707 Computer Vision and Pattern Recognitionoutput disturbanceNonlinear systemMatrix (mathematics)NoiseInput disturbance; integral sliding-mode control (SMC); output disturbance; sliding-mode observer (SMO); state estimation; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringReachabilityControl theoryControl and Systems EngineeringBounded functionsliding-mode observer (SMO)State observerstate estimationRobust controlElectrical and Electronic Engineeringbusinessdescription
This paper investigates the problems of state observer design and observer-based integral sliding-mode control (SMC) for a class of Itô stochastic systems subject to simultaneous input and output disturbances. A new type of sliding-mode-based descriptor observer method is developed to approximate the system state and disturbance vectors. An integral-type SMC scheme is proposed based on the state estimation to stabilize the overall system. The main contributions of this approach are as follows: 1) The desired estimations of state and disturbance vectors can be obtained simultaneously, and 2) in the designed sliding-mode observer, the integral term of the Itô stochastic noise is eliminated in the proposed sliding-mode surface by a matrix design; thus, the reachability of the sliding-mode surface is strictly guaranteed. Finally, the proposed approach is applied to the disturbance reconstruction problem of an F-18 aircraft model to illustrate the effectiveness and applicability. Refereed/Peer-reviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-03-01 |