For a state-space time-delay system with linearly coupled input and output disturbances, a simultaneous state and disturbance estimation technique is developed. For a nonlinear state-space time-delay system with dependent input and output disturbances, a nonlinear estimator is also proposed to estimate system state and disturbance at the same time. The proposed estimator techniques are applied next to estimate system state and fault signal. Via actuator and/or sensor signal compensation, a simple and efficient fault-tolerant operation can be realized. In the developed design, no limitations and prior knowledge are required on the considered faults. Moreover, identical actuator and/or sensor switches and control gain reconstruction are not...
Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practi...
This paper proposes a reduction method of steady-state errors in time-delay systems with communicati...
This brief addresses the problem of estimation of both the states and the unknown inputs of a class ...
For a state-space time-delay system with linearly coupled input and output disturbances, a simultan...
In this article, the problems of sensor fault estimation and compensation approaches for time-delay ...
Fault detection, estimation, and compensation problem for a class of disturbance driven time delay n...
This paper considers the problem of fault estimation and accommodation for a class of switched syst...
A Time Delay Observer (TDO) is proposed in order to attenuate the effects of system and output distu...
This brief addresses the problem of estimation of both the states and the unknown inputs of a class ...
The problem of the robust fault estimation and robust fault-tolerant control, for a class of nonline...
For systems with both state and input time delays, a novel state and sensor fault observer is propos...
This article addresses fault detection, estimation, and compensation problem in a class of disturban...
In this paper, we propose a robust observer, for state estimation in a class of state delayed dynami...
This study presents, based on bias compensation, an integrated parameter and state estimation algori...
This paper proposes a new method to simultaneously estimate the state and the delay of a linear time...
Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practi...
This paper proposes a reduction method of steady-state errors in time-delay systems with communicati...
This brief addresses the problem of estimation of both the states and the unknown inputs of a class ...
For a state-space time-delay system with linearly coupled input and output disturbances, a simultan...
In this article, the problems of sensor fault estimation and compensation approaches for time-delay ...
Fault detection, estimation, and compensation problem for a class of disturbance driven time delay n...
This paper considers the problem of fault estimation and accommodation for a class of switched syst...
A Time Delay Observer (TDO) is proposed in order to attenuate the effects of system and output distu...
This brief addresses the problem of estimation of both the states and the unknown inputs of a class ...
The problem of the robust fault estimation and robust fault-tolerant control, for a class of nonline...
For systems with both state and input time delays, a novel state and sensor fault observer is propos...
This article addresses fault detection, estimation, and compensation problem in a class of disturban...
In this paper, we propose a robust observer, for state estimation in a class of state delayed dynami...
This study presents, based on bias compensation, an integrated parameter and state estimation algori...
This paper proposes a new method to simultaneously estimate the state and the delay of a linear time...
Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practi...
This paper proposes a reduction method of steady-state errors in time-delay systems with communicati...
This brief addresses the problem of estimation of both the states and the unknown inputs of a class ...