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Robust decentralized adaptive stabilization for a class of interconnected systems

Robust decentralized adaptive stabilization for a class of interconnected systems
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摘要 The robust decentralized adaptive output-feedback stabilization for a class of interconnected systems with static and dynamic interconnections by using the MT-filters and backstepping design method is studied. By introducing a new filtered transformation, the adaptive laws were derived for measurement. Under the assumption of the nonlinear growth conditions imposed on the nonlinear interconnections and by constructing the error system and using a new proof method, the global stability of the closed-loop system was effectively analyzed, and the exponential convergence of all the signals except for parameter estimates were guaranteed. The robust decentralized adaptive output-feedback stabilization for a class of interconnected systems with static and dynamic interconnections by using the MT-filters and backstepping design method is studied. By introducing a new filtered transformation, the adaptive laws were derived for measurement. Under the assumption of the nonlinear growth conditions imposed on the nonlinear interconnections and by constructing the error system and using a new proof method, the global stability of the closed-loop system was effectively analyzed, and the exponential convergence of all the signals except for parameter estimates were guaranteed.
出处 《控制理论与应用(英文版)》 EI 2004年第2期137-142,共6页
基金 This work was supported by the National Natural Science Foundation of China (No. 60304003), the Natural Science Foundation of Shandong Province (Q2002G02), and the Doctoral Foundation of Shandong Province (No. 03BS092).
关键词 Decentralized adaptive stabilization Interconnected systems MT-filters BACKSTEPPING Decentralized adaptive stabilization Interconnected systems MT-filters Backstepping
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参考文献7

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