Add to ORKGThe normal approach to digital control is to sample periodically in time. Using an analog of integration theory we can call this Riemann sampling. Lebesgue sampling or event based sampling, is an alternative to Riemann sampling. It means that signals are sampled only when measurements pass certain limits. In this paper it is shown that Lebesgue sampling gives better performance for some simple systems
This thesis presents a new technique to randomly sample from the large datasets in linear order. Exi...
A new lower bound on the average reconstruction error variance of multidimensional sampling and reco...
In digital control systems, the state is sampled at given sampling instants and the input is kept co...
The normal approach to digital control is to sample periodically in time. Using an analog of integra...
The normal approach to digital control is to sample periodically in time. Using an analog of integra...
Sampling is normally done periodically in time. For linear time invariant systems this leads to clos...
International audienceIn this paper, the stabilization of a chain of integrators in the Lebesgue sam...
In this technical note, several issues of periodic and event-based impulse control for a class of se...
In a standard setup of conventional state estimation problems, the output signal of a dynamical syst...
The problem of optimal control for first order stochastic systems with a quadratic performance index...
For systems with limited capacity for storage, processing and transmission of data, the choice of sa...
A rapid progress in intelligent sensing technology creates new interest in a development of analysis...
We consider the problem of finding an event-based sampling scheme that optimizes the trade-off betwe...
In this paper, we consider nonlinear stochastic systems and intersect ideas from nonlinear control t...
Physical systems typically evolve continuously whereas modern controllers and signal processing devi...
This thesis presents a new technique to randomly sample from the large datasets in linear order. Exi...
A new lower bound on the average reconstruction error variance of multidimensional sampling and reco...
In digital control systems, the state is sampled at given sampling instants and the input is kept co...
The normal approach to digital control is to sample periodically in time. Using an analog of integra...
The normal approach to digital control is to sample periodically in time. Using an analog of integra...
Sampling is normally done periodically in time. For linear time invariant systems this leads to clos...
International audienceIn this paper, the stabilization of a chain of integrators in the Lebesgue sam...
In this technical note, several issues of periodic and event-based impulse control for a class of se...
In a standard setup of conventional state estimation problems, the output signal of a dynamical syst...
The problem of optimal control for first order stochastic systems with a quadratic performance index...
For systems with limited capacity for storage, processing and transmission of data, the choice of sa...
A rapid progress in intelligent sensing technology creates new interest in a development of analysis...
We consider the problem of finding an event-based sampling scheme that optimizes the trade-off betwe...
In this paper, we consider nonlinear stochastic systems and intersect ideas from nonlinear control t...
Physical systems typically evolve continuously whereas modern controllers and signal processing devi...
This thesis presents a new technique to randomly sample from the large datasets in linear order. Exi...
A new lower bound on the average reconstruction error variance of multidimensional sampling and reco...
In digital control systems, the state is sampled at given sampling instants and the input is kept co...