Download Nonlinear and Adaptive Control: Tools and Algorithms for the by Alessandro Astolfi PDF

By Alessandro Astolfi

This ebook summarizes the most effects completed in a four-year ecu venture on nonlinear and adaptive keep watch over. The venture contains best researchers from top-notch associations: Imperial collage London (Prof A Astolfi), Lund collage (Prof A Rantzer), Supelec Paris (Prof R Ortega), college of know-how of Compiegne (Prof R Lozano), Grenoble Polytechnic (Prof C Canudas de Wit), collage of Twente (Prof A van der Schaft), Politecnico of Milan (Prof S Bittanti), and Polytechnic college of Valencia (Prof P Albertos).The publication additionally presents an advent to theoretical advances in nonlinear and adaptive keep watch over and an outline of novel purposes of complex regulate concept, relatively issues at the keep an eye on of in part identified structures, under-actuated platforms, and bioreactors.

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2. O. Anderson and S. Vongpanitlerd. Network Analysis and Synthesis. Prentice-Hall, Englewood Cliffs, 1973. 3. O. Anderson. A system theory criterion for positive real matrices. SZAM J . Control, 5(2):171-182, 1967. 4. I. Bar-Kana. Parallel feedforward and simplified adaptive control. Int. J . Adaptive Control and Signal Processing, 1:95-109, 1987. 5. I. Byrnes, A. C. Willems. Passivity, feedback equivalence, and the global stabilization of minimum phase nonlinear systems. IEEE Trans. Automatic Control, 36( 11):1228-1240, 1991.

N and the limits aj,Ej are known, can be treated following the steps of the proof of Proposition 4. 62) in the presence of uncertain system parameters has also been studied in [18]. The nested saturation scheme employed there also required some nontrivial algebraic conditions t o be satisfied. 2. Asymptotic stabilirability by control of constant sign In this section we present a general result on the asymptotic stabilizability of linear stable systems with bounded control of constant sign, that is a consequence of Proposition 2 or Corollary 2.

5. 78). time, the new stabilization scheme provides motivation for a dynamic outp u t feedback stabilization methodology, which can accommodate saturated outputs. This dynamic solution is clearly different from observation-based schemes available in t h e literature. Bibliography 1. M. R. V. Kokotovik. Robust nonlinear control of feedforward systems with unmodeled dynamics. Automatica, 37:265-272, 2001. 2. A. Astolfi, R. Ortega, and R. Sepulchre. Passivity-based control of non-linear systems.

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