IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i6p1498-d1101482.html
   My bibliography  Save this article

Mathematical Circuit Root Simplification Using an Ensemble Heuristic–Metaheuristic Algorithm

Author

Listed:
  • Navid Behmanesh-Fard

    (Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran 1435661137, Iran)

  • Hossein Yazdanjouei

    (Microelectronics Research Laboratory, Urmia University, Urmia 5756151818, Iran)

  • Mohammad Shokouhifar

    (Department of Electrical and Computer Engineering, Shahid Beheshti University, Tehran 1983969411, Iran)

  • Frank Werner

    (Faculty of Mathematics, Otto-Von-Guericke-University, 39016 Magdeburg, Germany)

Abstract

Symbolic pole/zero analysis is a crucial step in designing an analog operational amplifier. Generally, a simplified symbolic analysis of analog circuits suffers from NP-hardness, i.e., an exponential growth of the number of symbolic terms of the transfer function with the circuit size. This study presents a mathematical model combined with a heuristic–metaheuristic solution method for symbolic pole/zero simplification in operational transconductance amplifiers. First, the circuit is symbolically solved and an improved root splitting method is applied to extract symbolic poles/zeroes from the exact expanded transfer function. Then, a hybrid algorithm based on heuristic information and a metaheuristic technique using simulated annealing is used for the simplification of the derived symbolic roots. The developed method is tested on three operational transconductance amplifiers. The obtained results show the effectiveness of the proposed method in achieving accurate simplified symbolic pole/zero expressions with the least complexity.

Suggested Citation

  • Navid Behmanesh-Fard & Hossein Yazdanjouei & Mohammad Shokouhifar & Frank Werner, 2023. "Mathematical Circuit Root Simplification Using an Ensemble Heuristic–Metaheuristic Algorithm," Mathematics, MDPI, vol. 11(6), pages 1-22, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1498-:d:1101482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/6/1498/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/6/1498/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shoyab Ali & Annapurna Bhargava & Akash Saxena & Pavan Kumar, 2023. "A Hybrid Marine Predator Sine Cosine Algorithm for Parameter Selection of Hybrid Active Power Filter," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lihong Pan & Miyuan Shan & Linfeng Li, 2023. "Optimizing Perishable Product Supply Chain Network Using Hybrid Metaheuristic Algorithms," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    2. Ramakanta Jena & Ritesh Dash & Kalvakurthi Jyotheeswara Reddy & Prasanta Kumar Parida & Chittathuru Dhanamjayulu & Sarat Chandra Swain & S. M. Muyeen, 2023. "Enhancing Efficiency of Grid-Connected Solar Photovoltaic System with Particle Swarm Optimization & Long Short-Term Memory Hybrid Technique," Sustainability, MDPI, vol. 15(11), pages 1-24, May.
    3. Karim El Moutaouakil & Abdellatif El Ouissari & Vasile Palade & Anas Charroud & Adrian Olaru & Hicham Baïzri & Saliha Chellak & Mouna Cheggour, 2023. "Multi-Objective Optimization for Controlling the Dynamics of the Diabetic Population," Mathematics, MDPI, vol. 11(13), pages 1-28, July.
    4. Ana-Maria Moldovan & Mircea Ion Buzdugan, 2023. "Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network," Sustainability, MDPI, vol. 15(7), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1498-:d:1101482. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.