Robust Control

Robust Control is a branch of control theory whose approach to controller design explicitly deals with uncertainty. It is also refers to the control of unknown plants with unknown dynamics subject to unknown disturbances. Robust methods aim to achieve robust performance and/or stability in the presence of bounded modeling errors. Robust control methods are designed to function properly provided that uncertain parameters or disturbances are found within some (typically compact) set.

Following is the list of topics under Robust Control which is prepared after detailed analysis of courses taught in multiple universities across the globe:

  • Analyzing and Tuning Controllers in Simulink
  • Modeling and Quantifying Plant Uncertainty
  • Modeling uncertainty and robustness
  • Nominal Performance Specifications
  • Quantitative feedback theory
  • Reducing Plant and Controller Order
  • Robust Stability Analysis
  • Robust Performance Synthesis
  • Synthesis of H∞ Controllers
  • Topics related to Aerospace Control
    • Active Vibration Control
    • Adaptive Control
    • Air Pollution Control
    • Approximation Based Control
    • Automatic Gain Control (AGC)

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