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On “Over-Sized” High-Gain Practical Observers for Nonlinear Systems
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作者 Daniele Carnevale Corrado Possieri antonio tornambè 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第3期691-698,共8页
In this paper,it is shown that the performances of a class of high-gain practical observers can be improved by estimating the time derivatives of the output up to an order that is greater than the dimension of the sys... In this paper,it is shown that the performances of a class of high-gain practical observers can be improved by estimating the time derivatives of the output up to an order that is greater than the dimension of the system, which is assumed to be in observability form and, possibly, time-varying. Such an improvement is achieved without increasing the gain of the observers, thus allowing their use in a wide variety of control and identification applications. 展开更多
关键词 Filtering properties nonlinear systems OBSERVABILITY observer design
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Algorithms to Compute the Largest Invariant Set Contained in an Algebraic Set for Continuous-Time and Discrete-Time Nonlinear Systems
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作者 Laura Menini Corrado Possieri antonio tornambè 《IEEE/CAA Journal of Automatica Sinica》 EI CSCD 2020年第1期57-69,共13页
In this paper, some computational tools are proposed to determine the largest invariant set, with respect to either a continuous-time or a discrete-time system, that is contained in an algebraic set. In particular, it... In this paper, some computational tools are proposed to determine the largest invariant set, with respect to either a continuous-time or a discrete-time system, that is contained in an algebraic set. In particular, it is shown that if the vector field governing the dynamics of the system is polynomial and the considered analytic set is a variety, then algorithms from algebraic geometry can be used to solve the considered problem. Examples of applications of the method(spanning from the characterization of the stability to the computation of the zero dynamics) are given all throughout the paper. 展开更多
关键词 Index Terms—Asymptotic stability discrete-time systems invariance nonlinear systems.
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