Asymptotic stabilization via output feedback for lower triangular systems with output dependent incremental rate

By Laurent Praly. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2001

343 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/3e20e1a147f6a224fd434d0c1cf7200c359f4602

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In Control and Systems Engineering

Citations in the corpus

Further results on global stabilization of uncertain nonlinear systems by output feedback (2005, methodology): “This was done by modifying the scaling technique introduced in Reference [8] and by imposing the restriction that Cð yÞ be a polynomial function of y; together with some useful matrix inequalities introduced in References [7–9].”
Output feedback control of a class of nonlinear systems: a nonseparation principle paradigm (2002, background): “5) via output feedback cannot be solved by the approach of [13].”
Linear output feedback with dynamic high gain for nonlinear systems (2004, methodology): “However here we use the modiHcation of the scaling introduced in [10].”
Technical Communique: Stabilization of a class of nonlinear systems by adaptive output feedback (2005, background): “Remark 2. Our proposed scheme does not require a priori knowledge on while existing results need such information in designing controllers ( Praly, 2001; Qian & Lin, 2000; Tsinias, 1991).”
Global output feedback sampled‐data stabilization for upper‐triangular nonlinear systems with improved maximum allowable transmission delay (2017, background): “Whereas, in [23], an incremental rate depending on the system output y.”
Technical Notes and Correspondence Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers (2009, methodology): “The finite-time observer design in this paper can be extended to the nonlinear systems in [ 28 ].”
Output‐feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states (2008, background): “Since then, much research work has been focused on the output-feedback global stabilization of nonlinear systems under various structure or growth conditions [11–16].”
Dual high‐gain‐based adaptive output‐feedback control for a class of nonlinear systems (2008, methodology): “The dynamics of the high-gain parameter r in [8] are given by a scalar differential Riccati equation driven by y guaranteeing boundedness of r if y remains bounded (which is not guaranteed by the dynamics ṙ = y2).”
High-gain observers in nonlinear feedback control (2009, neutral): “[20–43]).”