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» Analysis and modeling of control tasks in dynamic systems
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HYBRID
2007
Springer
16 years 17 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
SIGMETRICS
2002
ACM
105views Hardware» more  SIGMETRICS 2002»
15 years 6 months ago
Modeling and analysis of dynamic coscheduling in parallel and distributed environments
Scheduling in large-scale parallel systems has been and continues to be an important and challenging research problem. Several key factors, including the increasing use of off-the...
Mark S. Squillante, Yanyong Zhang, Anand Sivasubra...
SMC
2007
IEEE
105views Control Systems» more  SMC 2007»
16 years 20 days ago
Performance evaluation of petri nets execution algorithms
— In this paper we present a performance evaluation of interpreted and centralized implementation techniques of Petri nets. These implementation techniques allow the translation ...
Ramon Piedrafita Moreno, José Luis Villarro...
IJCNN
2000
IEEE
15 years 10 months ago
Predictive Multiple Model Switching Control with the Self-Organizing Map
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
Mark A. Motter
ICRA
2006
IEEE
190views Robotics» more  ICRA 2006»
16 years 13 days ago
Model and Control of Tendon-sheath Transmission Systems
— In this paper, the tendon-sheath driving system for a robotic hand is presented and its force transmission characteristics are analyzed. The use of tendon-based transmission pe...
Gianluca Palli, Claudio Melchiorri