Patents, software and hardware for PID control: an overview and analysis of the current art
IEEE Control Systems Magazine (2006) 26(1) 42-54
PID control system analysis and design
IEEE Control Systems Magazine (2006) 26(1) 32-41
University of Glasgow
January 1991 - Present
Yun Li has been teaching at University of Glasgow for 24 years. He is Professor of Systems Engineering and researches into Intelligent Systems (which offer data-driven prospects of computation that is akin to the human being). Currently, he researches into
*** "Industry 4.0" oriented intelligent systems to
*** create innovative and optimal design and manufacture through machine learning and virtual prototyping, which have led to the
*** advancement of "Computer-Aided Design" (CAD) to "Computer-Automated Design" (CAutoD), with exciting applications such as the
*** invention of greener internal combustion engines for a step improvement in fuel efficiency, power and emission through microwave initiated and enhanced combustion.
Yun is currently elected by the University Library as one of the five Top Authors, and two of his publications are elected by Thomson Reuters to 'Research Fronts' and four to 'Essential Science Indicators'. He has over 190 quality publications in microwave circuits (since 1986), parallel computing and VLSI/signal processing architectures (since 1988), dynamic system modelling and control (since 1988), power electronics and motor drives (since 1994), evolutionary computation, optimization and intelligent systems (since 1994), such as:
PID control system analysis, design, and technology, currently the most popular article in IEEE Trans Control Systems Tech, 13(4), 559-576, 2005 (cited 1,000 times);
Adaptive particle swarm optimization, among the three most popular articles in IEEE Trans Systems Man and Cybernetics (Part B: Cybernetics), 39(6), 1362-1381, 2009 (cited over 600 times);
Nonlinear model structure identification using genetic programming, IFAC Journal - Control Engineering Practice, 6(11), 1341-1352, 1998 (cited over 150 times);
Orthogonal learning particle swarm optimization, IEEE Trans Evolutionary Computation, 15(6), 832-847, 2011 (cited over 180 times).