𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A NOTE ON ROBUST STABILIZATION OF FEEDBACK LINEARIZABLE SYSTEMS

✍ Scribed by Le Yi Wang; Imad Makki; Wei Zhan


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
234 KB
Volume
7
Category
Article
ISSN
1049-8923

No coin nor oath required. For personal study only.

✦ Synopsis


The problem of robust stabilization of nonlinear systems with feedback linearizable nominal part and norm-bounded nonlinear uncertainties is investigated. Necessary and sufficient conditions are obtained for robust stabilization of such systems. A design procedure is developed which combines feedback linearization technique and quadratic stabilization via linear feedback to achieve robust global asymptotic stability.


πŸ“œ SIMILAR VOLUMES


Robust state-feedback stabilization of j
✍ Laurent El Ghaoui; Mustapha Ait Rami πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 494 KB πŸ‘ 1 views

We consider a linear system subject to Markovian jumps, with a time-varying, unknown-but-bounded transition probability matrix. We derive LMI conditions ensuring various second-moment stability properties for the system. The approach is then used to generate mode-dependent state-feedback control law

Adaptive control of feedback linearizabl
✍ JosΓ© Alvarez-RamΓ­rez πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 168 KB πŸ‘ 1 views

An adaptive output feedback controller for single input feedback linearizable systems is proposed. The output derivatives are estimated with a state high-gain observer, and the matched uncertainties are handled using a modelling error compensation method. Compared with existing adaptive methods, thi

On relationship between quadratic and ro
✍ Wen-Hua Chen πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 78 KB πŸ‘ 2 views

A game theoretic approach is introduced to analyse the relationship between the quadratic and robust stability of systems with structured uncertainties. Necessary and sufficient condition for the equivalence of these two types of stability is presented. The distance between quadratic and robust stab