System identification: theory for the user
System identification: theory for the user
Adaptive Control
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Effective level-of-detail management using fuzzy logic
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Interactive rendering of dynamic environment using PID control
ACM SIGGRAPH 2007 posters
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In this paper, we introduce concepts in control theory to provide fundamental mechanisms for sustainable and predictable performance in real-time computer graphics software. The objective is to provide a comprehensive foundation in distilling and adapting control principles for real-time rendering so that new classes of such powerful software may be conceived and developed.