In this paper, the problem of disturbance-observer-based-L-2 - L-infinity-control ( DOBC) is discussed for Markovian jump nonlinear systems with general uncertain transition rate and multiple disturbances. The general uncertain transition rate matrix means that some elements of the transition rate matrix are only known their bounds, and the others are unknown. The disturbances can be divided into two parts: one is described by an exogenous system in the input channel, and the other is supposed to be H-2 norm bounded. A disturbance observer is designed to estimate the disturbances which are described by an exogenous system, and the estimation is applied to feedforward compensation. Sufficient conditions are derived in terms of linear matrix inequalities under the closed-loop system stochastic stability with L-2 - L-infinity performance can be guaranteed. Finally, an application example is given to illustrate the effectiveness of proposed approach.
机构:
Beihang Univ, Natl Key Lab Aircraft Control Technol, Beijing 100191, Peoples R China
North China Elect Power Univ, Hebei Engn Res Ctr Simulat & Optimized Control Po, Baoding 071003, Peoples R ChinaBeihang Univ, Natl Key Lab Aircraft Control Technol, Beijing 100191, Peoples R China
Yao, Xiuming
Guo, Lei
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Beihang Univ, Natl Key Lab Aircraft Control Technol, Beijing 100191, Peoples R ChinaBeihang Univ, Natl Key Lab Aircraft Control Technol, Beijing 100191, Peoples R China
机构:
Northeastern Univ, Coll Informat Sci & Engn, 3 II Mail 135,Wenhua Rd, Shenyang 110819, Peoples R ChinaNortheastern Univ, Coll Informat Sci & Engn, 3 II Mail 135,Wenhua Rd, Shenyang 110819, Peoples R China
Xu, Tianbo
Gao, Xianwen
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Northeastern Univ, Coll Informat Sci & Engn, 3 II Mail 135,Wenhua Rd, Shenyang 110819, Peoples R ChinaNortheastern Univ, Coll Informat Sci & Engn, 3 II Mail 135,Wenhua Rd, Shenyang 110819, Peoples R China
Gao, Xianwen
Qi, Wenhai
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Qufu Normal Univ, Sch Engn, Jining, Peoples R ChinaNortheastern Univ, Coll Informat Sci & Engn, 3 II Mail 135,Wenhua Rd, Shenyang 110819, Peoples R China