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lBest-HS algorithm based concurrent L1 adaptive control for non-Linear systems.

Roshni Maiti1, Kaushik Das Sharma1, Gautam Sarkar1

  • 1Department of Applied Physics, University of Calcutta, Kolkata, India.

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|July 20, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hybrid L1 adaptive controller using a harmony search algorithm for enhanced stability and tracking in non-linear systems. The approach combines meta-heuristic search with adaptive control for superior performance.

Keywords:
adaptive controlHarmony search (HS) algorithmHybrid approachesTracking performanceslbest topological model of HS algorithm

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Area of Science:

  • Control Systems Engineering
  • Computational Intelligence
  • Non-linear Dynamics

Background:

  • Designing stable controllers for non-linear systems remains a significant challenge.
  • Existing adaptive control strategies may face limitations in convergence speed and robustness.
  • Meta-heuristic algorithms offer powerful optimization capabilities for complex systems.

Purpose of the Study:

  • To propose a novel hybrid L1 adaptive controller design.
  • To leverage the lbest topological model of the harmony search algorithm for controller optimization.
  • To ensure stability and satisfactory tracking performance for non-linear systems.

Main Methods:

  • Hybridization of the L1 adaptive control strategy with the lbest topological model of the harmony search (HS) algorithm.
  • Utilizing the global search feature of HS and the local search of L1 adaptive control.
  • Analytical investigation of the convergence properties of the proposed hybrid approach.

Main Results:

  • The proposed hybrid controller design guarantees stability for the targeted class of non-linear systems.
  • Satisfactory tracking performance was achieved, demonstrating the effectiveness of the hybrid approach.
  • The lbest topological model of HS exhibited superior convergence compared to the conventional HS algorithm.

Conclusions:

  • The developed hybrid L1 adaptive controller offers a robust and efficient solution for non-linear systems.
  • The integration of harmony search with L1 adaptive control presents a promising direction for advanced control design.
  • Experimental validation confirmed the practical applicability and usefulness of the proposed methodology.