Add to ORKGAbstract: In this paper we consider the problem of state estimation for linear dynamic systems using quantized measurements. This problem arises when state estimation needs to be done using information transmitted over a digital communication channel. We investigate how to design the quantizer and the estimator jointly. 1
This book presents recently developed methodologies that utilize quantized information in system ide...
We study output-based stabilization of linear time-invariant systems affected by unknown external di...
A distributed state estimation scheme based on quantized observations in wireless sensor network (WS...
In this paper, we consider the problem of state estimation for linear discrete-time dynamic systems ...
This paper discusses a number of technical issues in a new area of research in control systems, name...
The problem of state estimation of a linear, dynamical state-space system where the output is subjec...
In this paper we consider state estimation of a discrete time linear system using multiple sensors, ...
The problem of state estimation for a linear, time-varying, gaussian system from measurements which ...
The thesis addresses a problem in networked control systems where quantization is a communication co...
In this thesis, state estimation and control problems in linear time invariant (LTI) systems where t...
This paper develops a novel scheme for state estimation of discrete-time linear time-invariant syste...
We consider remote state estimation of a scalar stationary linear Gauss-Markov process observed via ...
In this paper we consider state estimation of an unstable scalar system using multiple sensors, wher...
We employ reachability analysis in designing dynamic quantization schemes for the remote state estim...
We study output-based stabilization of linear time-invariant systems affected by unknown external di...
This book presents recently developed methodologies that utilize quantized information in system ide...
We study output-based stabilization of linear time-invariant systems affected by unknown external di...
A distributed state estimation scheme based on quantized observations in wireless sensor network (WS...
In this paper, we consider the problem of state estimation for linear discrete-time dynamic systems ...
This paper discusses a number of technical issues in a new area of research in control systems, name...
The problem of state estimation of a linear, dynamical state-space system where the output is subjec...
In this paper we consider state estimation of a discrete time linear system using multiple sensors, ...
The problem of state estimation for a linear, time-varying, gaussian system from measurements which ...
The thesis addresses a problem in networked control systems where quantization is a communication co...
In this thesis, state estimation and control problems in linear time invariant (LTI) systems where t...
This paper develops a novel scheme for state estimation of discrete-time linear time-invariant syste...
We consider remote state estimation of a scalar stationary linear Gauss-Markov process observed via ...
In this paper we consider state estimation of an unstable scalar system using multiple sensors, wher...
We employ reachability analysis in designing dynamic quantization schemes for the remote state estim...
We study output-based stabilization of linear time-invariant systems affected by unknown external di...
This book presents recently developed methodologies that utilize quantized information in system ide...
We study output-based stabilization of linear time-invariant systems affected by unknown external di...
A distributed state estimation scheme based on quantized observations in wireless sensor network (WS...