Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems

By Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang. at - Automatisierungstechnik, 2007

550 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/c101287bb063e5138a115330c40ec2327613e89b

How researchers see this paper

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In Control and Systems Engineering

1. Shaocheng Tong
2. Yanjun Liu
3. L. Jiao
4. Y. Li
5. Ji-feng Zhang
6. Yue Li
7. Weisheng Chen
8. Ruihong Li

Citations in the corpus

• Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays (2010, methodology): “By using the quartic Lyapunov functions instead of the classical quadratic functions, Deng and Krsti´ [10]–[14] solved the (adaptive) stabilization problem of stochastic strict-feedback (or outputfeedback) systems, and then, this design idea was extended to several different cases, such as tracking ”
• Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (2011, methodology): “Meanwhile, by using a linear reduced-order state observer, several different outputfeedback controllers are developed for strict-feedback stochastic nonlinear systems with unmeasured states, such as tracking control [26], decentralized control [ 27 ], and time-delay systems [28].”
• Output‐feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states (2008, background): “Recently, there are some results of output-feedback control for the stochastic nonlinear systems in which nonlinear terms are dependent on the output and unmeasurable inverse dynamics or unmodeled dynamics [3, 17, 18].”