讨论Cauchy中值定理"中间点函数"的可微性与渐近性,并给出例子说明本文结果的有效性与广泛性,从而改进和推广了Duca和Pop(On the intermediate point in Cauchy’s mean-value theorem,Math Inequal Appl,2006(3):375-389)中...讨论Cauchy中值定理"中间点函数"的可微性与渐近性,并给出例子说明本文结果的有效性与广泛性,从而改进和推广了Duca和Pop(On the intermediate point in Cauchy’s mean-value theorem,Math Inequal Appl,2006(3):375-389)中的相应结果.展开更多
The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the different...The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the differential mean value theorem （DMVT） and convex theory. The proposed design approach is based on the mean value theorem （MVT） to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as linear parameter varying （LPV） systems. Using the Lyapunov theory, stability conditions are obtained and expressed in terms of linear matrix inequalities （LMIs）. The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for closed loop-field oriented control （CL-FOC） of permanent magnet synchronous machine （PMSM） drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.展开更多
文摘讨论Cauchy中值定理"中间点函数"的可微性与渐近性,并给出例子说明本文结果的有效性与广泛性,从而改进和推广了Duca和Pop(On the intermediate point in Cauchy’s mean-value theorem,Math Inequal Appl,2006(3):375-389)中的相应结果.
文摘The problem of state feedback controllers for a class of Takagi-Sugeno （T-S） Lipschitz nonlinear systems is investigated. A simple systematic and useful synthesis method is proposed based on the use of the differential mean value theorem （DMVT） and convex theory. The proposed design approach is based on the mean value theorem （MVT） to express the nonlinear error dynamics as a convex combination of known matrices with time varying coefficients as linear parameter varying （LPV） systems. Using the Lyapunov theory, stability conditions are obtained and expressed in terms of linear matrix inequalities （LMIs）. The controller gains are then obtained by solving linear matrix inequalities. The effectiveness of the proposed approach for closed loop-field oriented control （CL-FOC） of permanent magnet synchronous machine （PMSM） drives is demonstrated through an illustrative simulation for the proof of these approaches. Furthermore, an extension for controller design with parameter uncertainties and perturbation performance is discussed.
