In this paper, we consider discrete-time state estimation over a network. Two scenarios are investigated. In the first scenario, we assume the sensor sends its measurement packet across a packet-dropping network, and we find minimum packet arrival rate that guarantees certain performance at the remote estimator. In the second scenario, we assume the network does not drop any data packet but the sensor has the freedom to send its current measurement data or not. We look for the optimal measurement data sending rate at the sensor which provides the optimal tradeoff between the sending cost at the sensor and the error at the estimator. Examples are provided to illustrate the theories and algorithms developed
We consider remote state estimation over a packet-dropping network. A new suboptimal filter is deriv...
In this paper, we consider sensor data scheduling over a packet-dropping network. A sensor having su...
This work addresses the design of a state observer for systems whose outputs are measured through a ...
In this paper we consider the problem of state estimation over a communication network. Using estima...
In this paper we consider the problem of state estimation over a communication network. Using estima...
In this paper we consider the problem of state estimation over a communication network. Using estima...
We consider the problem of state estimation of a discrete time process over a packet-dropping networ...
We consider the problem of linear minimum mean square error estimation for a discrete-time system ov...
Kalman filter is known as the optimal linear mean-squared error estimator. It has been a hot topic i...
We consider the problem of controlling a linear time invariant process when the controller is locate...
Research Doctorate - Doctor of Philosophy (PhD)Classic control theory relies on the assumption that ...
In this note, we study optimal estimation design for sampled linear systems where the sensors measur...
In this paper, we consider a discrete time state estimation problem over a packet-based network. In ...
In this paper, we consider a discrete time state estimation problem over a packet-based network. In ...
We consider the problem of state estimation of a discrete time process over a packet-dropping networ...
We consider remote state estimation over a packet-dropping network. A new suboptimal filter is deriv...
In this paper, we consider sensor data scheduling over a packet-dropping network. A sensor having su...
This work addresses the design of a state observer for systems whose outputs are measured through a ...
In this paper we consider the problem of state estimation over a communication network. Using estima...
In this paper we consider the problem of state estimation over a communication network. Using estima...
In this paper we consider the problem of state estimation over a communication network. Using estima...
We consider the problem of state estimation of a discrete time process over a packet-dropping networ...
We consider the problem of linear minimum mean square error estimation for a discrete-time system ov...
Kalman filter is known as the optimal linear mean-squared error estimator. It has been a hot topic i...
We consider the problem of controlling a linear time invariant process when the controller is locate...
Research Doctorate - Doctor of Philosophy (PhD)Classic control theory relies on the assumption that ...
In this note, we study optimal estimation design for sampled linear systems where the sensors measur...
In this paper, we consider a discrete time state estimation problem over a packet-based network. In ...
In this paper, we consider a discrete time state estimation problem over a packet-based network. In ...
We consider the problem of state estimation of a discrete time process over a packet-dropping networ...
We consider remote state estimation over a packet-dropping network. A new suboptimal filter is deriv...
In this paper, we consider sensor data scheduling over a packet-dropping network. A sensor having su...
This work addresses the design of a state observer for systems whose outputs are measured through a ...