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Circuits, Systems, and Signal Processing

Teaching Learning Based Optimization for Designing Control Strategies in Complex Systems

  • 29-06-2024
Published in:
Authors
M. Mehrotra
A. Sikander
Published in
Circuits, Systems, and Signal Processing | Issue 10/2024

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Abstract

The article discusses the challenges of modeling dynamic systems and introduces Teaching Learning Based Optimization (TLBO) as an effective meta-heuristic approach for order abatement. It explains the TLBO algorithm and its application in simplifying control design for high-order systems. The study compares TLBO with various existing methods and demonstrates its superiority through detailed examples and performance metrics. The results show that TLBO offers better transient responses, lower error indices, and reduced computational time, making it a promising tool for control system design and optimization.
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previous article Data-Driven Control for Linear Discrete-Time Systems with Input Saturation
next article Observer-Based Finite-Time Adaptive Fault-Tolerant Control for Nonlinear System with Unknown Time-Varying Delay
Title
Teaching Learning Based Optimization for Designing Control Strategies in Complex Systems
Authors
M. Mehrotra
A. Sikander
Publication date
29-06-2024
Publisher
Springer US
Published in
Circuits, Systems, and Signal Processing / Issue 10/2024
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-024-02753-8
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