Author: anry

Arie Nakhmani is an associate professor of Electrical and Computer Engineering at the University of Alabama at Birmingham (UAB). He joined UAB in 2013. Prior to that, he completed his postdoctoral training at Georgia Tech and Boston University. He is an Associate Scientist in the Comprehensive Cancer Center and director of the ANRY lab at UAB. He is the author of over 120 peer-reviewed research publications and book chapters on robust control, machine learning, signal and image analysis. He is also an author of "Modern Control: State-Space Analysis and Design Methods" textbook published by McGraw Hill in 2020.

American Journal of Respiratory and Critical Care Medicine Editorial on Our Article

Our article [1] published in the American Journal of Respiratory and Critical Care Medicine is being noticed and is gaining traction. A journal editorial featuring our article was published by Rizi, Hamedani, and Cereda: https://www.atsjournals.org/doi/abs/10.1164/rccm.202008-3158ED.

[1] Bodduluri S, Puliyakote AK, Nakhmani A, Charbonnier J-P, Reinhardt JM, Bhatt SB. CT based Airway Surface Area to Volume Ratio for Phenotyping Airway Remodeling in Chronic
Obstructive Pulmonary Disease. Am J Respir Crit Care Med [online ahead of print] 05 August 2020; https://www.atsjournals.org/doi/abs/10.1164/rccm.202004-0951OC.

Modern Control Textbook was Published by McGraw Hill

Publication Date
April 10, 2020
Format
Hardback, 192 pages
ISBN
9781260459241 

Modern Control: State-Space Analysis And Design Methods

by Arie Nakhmani

This concise textbook (less than 200 pages) offers hands-on coverage of modern control system engineering while showing the best strategies for solving complex problems, providing self-evaluation questions, and step-by-step analysis and design procedures.   Modern Control: State-Space Analysis and Design Methods book features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics is presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive a “just-in-time” math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques.

MATLAB code is available here: CODE.ZIP

Coverage includes:

  • An introduction to control systems
  • State-space representations
  • Pole placement via state feedback
  • State estimators (observers)
  • Non-minimal canonical forms
  • Linearization
  • Lyapunov stability
  • Linear quadratic regulators (LQR)
  • Symmetric root locus (SRL)
  • Kalman filter
  • Linear quadratic gaussian control (LQG)
ERRATA

Hyperspectral Image Cell Segmentation and Tracking

In the last decade, many different tools have been invented for evaluation of protein-protein interactions, which is important for understanding different diseases such as pneumonia. As part of big research on cell interactions, video sequences of hyperspectral images of the cells are taken and analyzed. The problem is that there is a huge amount of cells and images, and thus it is very hard to use manual segmentation and tracking.

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Robust Control of Uncertain Systems in Generalized Frequency Domain

In this project, we explore D-decomposition methods applied to control systems with uncertainties. We use a previously developed theory for Generalized Bode Envelopes to find a family of controllers which stabilizes an uncertain system. The approach is similar to classical D-decomposition methods and has been proven to be very useful in the design in the frequency domain. As part of this project, we apply the developed techniques to real-world control systems.

Continue reading “Robust Control of Uncertain Systems in Generalized Frequency Domain”