In this work, we study minimum data rate tracking of a dynamical system ...
In this paper, we consider the motion planning problem in Gaussian belie...
We propose an adaptive coding approach to achieve linear-quadratic-Gauss...
This paper explores minimum sensing navigation of robots in environments...
This note addresses the problem of evaluating the impact of an attack on...
In this work we consider discrete-time multiple-input multiple-output (M...
We present an analytical method to estimate the continuous-time collisio...
This paper addresses a continuous-time continuous-space chance-constrain...
In this work, we develop quantization and variable-length source codecs ...
We address the attack impact evaluation problem for control system secur...
In this letter, we consider a Linear Quadratic Gaussian (LQG) control sy...
We consider the problem of estimating a continuous-time Gauss-Markov sou...
We present novel upper and lower bounds to estimate the collision probab...
We propose a path planning methodology for a mobile robot navigating thr...
This paper considers the problem of task-dependent (top-down) attention
...
Although perception is an increasingly dominant portion of the overall
c...
This paper presents a new method to solve a dynamic sensor fusion proble...
We consider an architecture of confidential cloud-based control synthesi...
In this work, we study an LQG control system where one of two feedback
c...
We consider a discrete-time linear-quadratic Gaussian control problem in...
We consider a discrete-time linear-quadratic Gaussian control problem in...
This paper considers the problem of closed-loop identification of linear...
We consider a path-planning scenario for a mobile robot traveling in a
c...
We consider a cloud-based control architecture in which the local plants...
In this paper, we apply a sequential source coding framework to analyze
...
We consider a cloud-based control architecture for a linear plant with
G...
We revisit the sequential rate-distortion (SRD) trade-off problem for
ve...