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IJNS
2000
80views more  IJNS 2000»
15 years 4 months ago
VLSI Implementation of Neural Networks
Currently, fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more compl...
Bogdan M. Wilamowski, J. Binfet, M. O. Kaynak
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 11 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
149
Voted
RTCSA
2008
IEEE
15 years 11 months ago
A Framework for Designing Embedded Real-Time Controllers
Control systems are typically designed assuming an ideal behavior of the computing infrastructure where controllers execute. In practice, however, in highly loaded computing syste...
Yifan Wu, Enrico Bini, Giorgio C. Buttazzo
SIAMCO
2008
70views more  SIAMCO 2008»
15 years 4 months ago
Minimal Time Sequential Batch Reactors with Bounded and Impulse Controls for One or More Species
We consider the optimal control problem of feeding in minimal time a tank where several species compete for a single resource, with the objective being to reach a given level of th...
Pedro Gajardo, Héctor Ramírez Cabrer...
128
Voted
SAINT
2006
IEEE
15 years 10 months ago
A Prototype of a Secure Autonomous Bootstrap Mechanism for Control Networks
There are many kinds of control networks, which have been used in various non-IP network areas, such as BA (Building Automation), FA (Factory Automation) and PA (Process Automatio...
Nobuo Okabe, Shoichi Sakane, Masahiro Ishiyama, At...