diabetes 发表于 2025-3-23 10:56:09
-Error Stability and Stabilizationpt generalizing the traditional mean square stability is proposed such that numerically testable criteria on the basis of SMK are obtained. Numerical examples are presented to illustrate the validity and advantage of the developed theoretical results.Isthmus 发表于 2025-3-23 17:14:49
Nonlinear Systems Caseservative and more practical. Then, control synthesis problem is investigated and the sufficient conditions on the existence of admissible mode-dependent state-feedback stabilizing controller are developed. A numerical example and a cart-pendulum system are given to show the effectiveness and potential of the new design techniques.tinnitus 发表于 2025-3-23 20:14:19
2198-4182 ies.Addresses the control issues such as stability analysis,.The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump sysODIUM 发表于 2025-3-23 23:29:45
Book 2016es of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the con浮夸 发表于 2025-3-24 06:13:59
http://reply.papertrans.cn/16/1562/156193/156193_15.pngcompose 发表于 2025-3-24 09:37:12
https://doi.org/10.1007/978-3-319-28847-5Stochastic Switching Systems; Complex Transition Probabilities; Stability analysis; Control synthesis; FEeg332 发表于 2025-3-24 13:07:53
978-3-319-80439-2Springer International Publishing Switzerland 2016原告 发表于 2025-3-24 16:48:15
http://reply.papertrans.cn/16/1562/156193/156193_18.pngMeditate 发表于 2025-3-24 21:07:58
http://reply.papertrans.cn/16/1562/156193/156193_19.pngassent 发表于 2025-3-25 01:34:52
Physica-Schriften zur Betriebswirtschaft. A mode-dependent full-order filter is constructed and the bounded real lemma (BRL) for the resulting filtering error system is derived via linear matrix inequality (LMI) formulation. Then, an improved version of the BRL is further given by introducing additional slack matrix variables to eliminate