%0 Journal Article %T Constrained Predictive Control of Markov Jump Linear Systems Based on Terminal Invariant Sets
基于终端不变集的 Markov 跳变系统约束预测控制 %A LIU Fei %A CAI Yin %A
刘飞 %A 蔡胤 %J 自动化学报 %D 2008 %I %X In this paper,the receding horizon control(RHC) problem is considered for discrete time Markov jump linear sys- tems,subject to constraints on control inputs and observed out- puts.In given receding horizon,for every mode trajectory,con- trol inputs sequence is designed to drive the state trajectory into a terminal invariant set.The invariant set depends on the exis- tence of a fictitious state feedback control law,which guarantees stochastic stability of jump system out of the receding horizon. Based on such stability analysis,a linear matrix inequality ap- proach for designing receding horizon controller subject to input and output constraints is developed. %K Markov jump systems %K constraint control %K receding horizon control(RHC) %K terminal invariant sets %K semidefinite programming(SDP)
Markov跳变系统 %K 约束控制 %K 滚动时域控制 %K 终端不变集 %K 正半定规划 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DA93E75BE5280F89B87DDE24135143CB&yid=67289AFF6305E306&vid=339D79302DF62549&iid=E158A972A605785F&sid=C4490A71BEB872FA&eid=A03A15CF5604A8B0&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=10