English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper proposes an efficient approach for tuning L1 feedback filter ofadaptive controller for multi-input multi-output (MIMO) systems. The feedbackfilter provides performance that trades off fast closed loop dynamics,robustness margin, and control signal range. Thus appropriate tuning of thefilter's parameters is crucial to achieve optimal performance. For MIMOsystems, the parameters tuning is challenging and requires a multi-objectiveperformance indices to avoid instability. This paper proposes a fuzzy-based L1feedback filter design tuned with multi-objective particle swarm optimization(MOPSO) to remove these bottlenecks. MOPSO guarantees the appropriate selectionof the fuzzy membership functions. The proposed approach is validated usingtwin rotor MIMO system and simulation results demonstrate the efficacy of hereproposed while preserving the system stabilizability.

Optimal Tuning of Fuzzy Feedback filter for L1 Adaptive Controller Using  Multi-Objective Particle Swarm Optimization for Uncertain Nonlinear MIMO  Systems