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LMI and YALMIP: Modeling and Optimization Toolbox in MATLAB

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Advances in VLSI, Communication, and Signal Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 683))

Abstract

In this paper, we present a MATLAB toolbox YALMIP and LMI. This paper narrated how YALMIP and LMI can be employed to model and solutions of the optimization problems arising in control systems. With the help of command of YALMIP, we can solve the optimization problem in control systems. The numerical examples also illustrate the success of the results presented in the paper.

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References

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Allahabad, Uttar Pradesh, 211004, India

    Akhilesh Kumar Ravat, Amit Dhawan & Manish Tiwari

Authors
  1. Akhilesh Kumar Ravat
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  2. Amit Dhawan
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  3. Manish Tiwari
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Corresponding author

Correspondence to Akhilesh Kumar Ravat .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Technology, General Engineering Research Institute, Liverpool John Moorse University, Liverpool, UK

    David Harvey

  2. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Haranath Kar

  3. Department of Information Technology, Indian Institute of Information Technology, Allahabad, India

    Shekhar Verma

  4. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Vijaya Bhadauria

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Ravat, A.K., Dhawan, A., Tiwari, M. (2021). LMI and YALMIP: Modeling and Optimization Toolbox in MATLAB. In: Harvey, D., Kar, H., Verma, S., Bhadauria, V. (eds) Advances in VLSI, Communication, and Signal Processing. Lecture Notes in Electrical Engineering, vol 683. Springer, Singapore. https://doi.org/10.1007/978-981-15-6840-4_41

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  • DOI: https://doi.org/10.1007/978-981-15-6840-4_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6839-8

  • Online ISBN: 978-981-15-6840-4

  • eBook Packages: EngineeringEngineering (R0)

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