I have designed various applied condition monitoring & control systems based on: 

  • Robust decentralized control theory and fault diagnosis, by using
    • H-infinity theory
    • Linear matrix inequality (LMI)
    • Quantitative feedback theory (QFT)
  • Estimation theory by using 
    • Observers
    • System identification methods
    • Bayesian inference & particle filters
  • Optimization theory and design of experiments 
  • Artificial intelligent & neural networks

Our Contributions to Control & Estimation Theory

Estimation using sequential sampling and Fisher information
  • SMM Alavi, SM Goetz, AV Peterchev, “Optimal estimation of neural recruitment curves using Fisher information: application to transcranial magnetic stimulation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering,  27(6), pp. 1320 – 1330, 2019.
Identification of fractional order/non-Markovian models
  • TS Aghdam, SMM Alavi, M Saif, “Structural Identifiability of Impedance Spectroscopy Fractional-Order Equivalent Circuit Models With Two Constant Phase Elements,” Automatica, 144, 110463, 2022.
  • PE Jacob, SMM Alavi, A Mahdi, SJ Payne, DA Howey, “Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems,” IEEE Transactions on Control Systems Technology, 26 (2), pp. 497-506, 2018.
Integrated fault diagnosis & control
  • SMM Alavi, M Saif, “A QFT-based decentralized design approach for integrated fault detection and control,” IEEE Transactions on Control Systems Technology, 20 (5), 1366-1375, 2012.
  • SMM Alavi, R Izadi-Zamanabadi, MJ Hayes, “Robust fault detection and isolation technique for single-input/single-output closed-loop control systems that exhibit actuator and sensor faults,” IET Control Theory & Applications, 2 (11), 951-965, 2008.
Transformation of multi-input/multi-output system to a set of multi-input/single-output subsystems for decentralized control
  • SMM Alavi, A Khaki-Sedigh, B Labibi, MJ Hayes, “Improved multivariable quantitative feedback design for tracking error specifications,” IET Control Theory & Applications, 1 (4), 1046-1053, 2007.