http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Observability and Controllability Analysis for Sandwich Systems with Dead-zone
Yonghong Tan,Na Luo,Ruili Dong 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.1
In this paper, an approach to analyze the observability and controllability of sandwich systems withdead-zone is proposed. In this method, a non-smooth state-space function is proposed to describe the sandwichsystems with dead-zone which are also non-smooth nonlinear systems. Then, a linearization method based onnon-smooth optimization is proposed to derive a linearized state-space function to approximate the non-smoothsandwich systems within a bounded region around the equilibrium points that we are interested in. Afterwards,both observability and controllability matrices are constructed and the methods to analyze the observability as wellas controllability of sandwich system with dead-zone are derived. Finally, a numerical example is presented.
On-line Identification Algorithm and Convergence Analysis for Sandwich Systems with Backlash
Ruili Dong,Yonghong Tan 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.3
In this paper, an on-line algorithm for identification of sandwich systems with backlash is proposed. In this method, the sandwich systems with backlash can be transformed into a special model where all the model parameters are separated based on the so-called key term separation principle. In this case, a piecewise model with linear coefficients combining with nonlinear variables is obtained. Thus, an ex-tended recursive identification algorithm is used to estimate the parameters of the proposed model. Fi-nally, the modeling results on an X-Y positioning stage are presented.
Robust-nonsmooth Kalman Filtering for Stochastic Sandwich Systems with Dead-zone
Baoan Li,Yonghong Tan,Lei Zhou,Ruili Dong 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.1
In this paper, a robust-nonsmooth Kalman filtering approach for stochastic sandwich systems with deadzone is proposed, which can guarantee the variance of filtering error to be upper bounded. In this approach, thestochastic sandwich system with dead-zone is described by a stochastic nonsmooth state-space function. Then, inorder to approximate the nonsmooth sandwich system within a bounded region around the equilibrium point, alinearization approach based on nonsmooth optimization is proposed. For handling the model uncertainty causedby linearization and modeling, the robust-nonsmooth Kalman filtering method is proposed for state estimation ofthe stochastic sandwich system with dead-zones with model uncertainty. Finally, both simulation and experimentalexamples are presented for evaluating the performance of the proposed filtering scheme.
Stability of Wiener Systems with Dead-zone Using Optimal Position and Velocity Control
Tianyu Wang,Yonghong Tan,Ming Fang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.2
In this paper, a new sufficient condition for the stability of Wiener systems with dead-zone which are also non-smooth nonlinear systems is proposed. In order to analyze the stability, pseudo linearization is implementedto the system. Then, the optimal position and velocity control strategy is derived by minimizing the cost function. Based on the Lyapunov method, the stability condition is obtained. Afterward, simulation examples are presentedto validate the proposed method.