LQG benchmark based performance assessment of

LQGOptimal pi and pid control as benchmark

Manutility focused tuning algorithm

maximizing performance and robustness of pi

maximum gain rule for selecting controlled

maximum sensitivity based New pid controller

microcomputer implementation of mimo pole

microcontroller based fuzzy pi approach employ

MIQP Formulation for controlled variable Selection

model predictive controller Design

MODELFREE controller parameter tuning via

Modelreference Robust tuning of 2DoF pi control

modeling and simulation of parameter selftuning

modelling simulation for optimal control of

modern Heuristics review for pid control

Modications of Genetic Algorithms for designing

modified pid control With loop shaping