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CDC
2008
IEEE
103views Control Systems» more  CDC 2008»
16 years 1 months ago
Symbolic models for nonlinear control systems affected by disturbances
Abstract— Symbolic models are abstract descriptions of continuous systems in which symbols represent aggregates of continuous states. In the last few years there has been a growi...
Giordano Pola, Paulo Tabuada
IDA
1999
Springer
15 years 11 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
163
Voted
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
15 years 11 months ago
Control of impulsive renewal systems: Application to direct design in networked control
— We consider the control of impulsive systems with jumps triggered by a renewal process, that is, the intervals between jumps are independent and identically distributed. The co...
Duarte Antunes, João Pedro Hespanha, Carlos...
CVRMED
1997
Springer
15 years 10 months ago
An integrated remote neurosurgical system
The Neurovisualization Lab at the University of Virginia is developing the Integrated Remote Neurosurgical System (IRNS) to allow mentoring of neurosurgical procedures in remote l...
B. Sean Graves, Joe Tullio, Minyan Shi, J. Hunter ...
ENTCS
2008
96views more  ENTCS 2008»
15 years 6 months ago
Maude as a Platform for Designing and Implementing Deep Inference Systems
Deep inference is a proof theoretical methodology that generalizes the traditional notion of inference in the sequent calculus: in contrast to the sequent calculus, the deductive ...
Ozan Kahramanogullari