Generic nonlinear system

Model description: 

$$\begin{align*} \dot{x}_1 &= x_1 = x_1x_4 + \theta_1x_1^2 \theta_2x_3 + x_2u_1 + u_2 + u_3 \\ \dot{x}_2 &= x_2\cos{x_3} + \theta_3x_4 + u_1 + u_4 \\ \dot{x}_3 &= \sin{x_2} - x_3 \\ \dot{x}_4 &= x_3 - x_4 + x_1x_4 + \theta_1x_1^2 + (1 + x_2)u_1 + u_2 + u_3 \\ y_1 &= x_1 \\ y_2 &= x_2, \end{align*}$$

where $\theta_1 = 0.5$, $\theta_2 = 2$, and $\theta_3 = 1$ are unknown constant parameters.

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Publication details: 

TitleVirtual Grouping based adaptive actuator failure compensation for MIMO nonlinear systems
Publication TypeJournal Article
Year of Publication2005
AuthorsTang, Xidong
JournalIEEE Transactions on Automatic Control
Volume50
Issue11
Start Page1775
Pagination1780
Date Published11/2005
ISSN0018-9286
Accession Number8646599
Keywordsactuators, adaptive control, closed loop systems, control system synthesis, failure analysis, MIMO systems, nonlinear control systems, redundancy
AbstractA new control design technique called virtual grouping is presented to handle actuator redundancy and failures for multiple-input-mutliple-output (MIMO) systems, enlarging the set of compensable actuator failures. An adaptive compensation scheme is thus developed for a class of nonlinear MIMO systems to ensure closed-loop signal boundedness and asymptotic output tracking despite unknown actuator failures. Simulation results are given to show the effectiveness of the adaptive design.
DOI10.1109/TAC.2005.858633