Browsing NTNU Open by Author "Munir, Sarmad"

Now showing items 1-4 of 4

    • Complexity Reduction in Explicit Model Predictive Control 

      Munir, Sarmad (Doctoral theses at NTNU;2018:205, Doctoral thesis, 2018)
      The thesis is focused on low complexity constrained control systems. Model Predictive Control (MPC) has been huge success for constrained control due to its ability to handle input, state and output constraints. It is not ...

    • Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator 

      Munir, Sarmad; Hovd, Morten; Fang, Zhou; Olaru, Sorin; Kemeny, Andras (Journal article, 2017)
      The performance of a driving simulator depends on the efficiency of the embedded motion cueing algorithm. An explicit model predictive control was established recently as a pertinent design framework for the motion cueing ...

    • Low complexity constrained control using higher degree Lyapunov functions 

      Munir, Sarmad; Hovd, Morten; Olaru, Sorin (Journal article; Peer reviewed, 2018)
      Explicit Model Predictive Control often has a complex solution in terms of the number of regions required to define the solution and the corresponding memory requirement to represent the solution in the online implementation. ...

    • Tuning and tracking the growth of gold nanoparticles synthesized using binary surfactant mixtures 

      Antony, Jibin; Raghunathan, Karthik; Munir, Sarmad; Andreassen, Jens-Petter; Bandyopadhyay, Sulalit (Peer reviewed; Journal article, 2020)
      Synthesis of gold nanorods (Au NRs) using surfactant-mediated seeded growth involves the interplay of parameters such as pH, reducing agent, and surfactant among others. The use of binary surfactant mixtures of ...