LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Adaptive Command Filtered Control of Random Nonlinear Systems Under Output Constraint

Photo from wikipedia

Random nonlinear systems (RNSs) are claimed to be superior than well-investigated stochastic nonlinear systems (SNSs) in dealing with general noises. This brief considers the question of adaptive command filtered control… Click to show full abstract

Random nonlinear systems (RNSs) are claimed to be superior than well-investigated stochastic nonlinear systems (SNSs) in dealing with general noises. This brief considers the question of adaptive command filtered control (CFC) of a class of triangular RNSs under asymmetric output constraint. The constrained problem is turned into an unconstrained one by a nonlinear transformation at first. Then by combining CFC with adaptive technique, an adaptive controller is designed recursively to achieve the tracking objective, as well as keeping the output constraint. Finally, the validity of main results is tested via a numerical simulation example.

Keywords: output constraint; command filtered; random nonlinear; adaptive command; nonlinear systems

Journal Title: IEEE Transactions on Circuits and Systems II: Express Briefs
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.