Observer design for continuous-time dynamical systems
We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …
dynamical systems, namely algorithms which reconstruct online the full information of a …
Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
SX Ding - Journal of Process Control, 2014 - Elsevier
In this paper, the development of data-driven design of process monitoring and fault
diagnosis (PM-FD) systems is reviewed and some recent results are presented. A major …
diagnosis (PM-FD) systems is reviewed and some recent results are presented. A major …
Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems
Combined with backstepping techniques, an observer-based adaptive consensus tracking
control strategy is developed for a class of high-order nonlinear multiagent systems, of which …
control strategy is developed for a class of high-order nonlinear multiagent systems, of which …
Adaptive Kalman filter for actuator fault diagnosis
Q Zhang - Automatica, 2018 - Elsevier
An adaptive Kalman filter is proposed in this paper for actuator fault diagnosis in discrete
time stochastic time varying systems. By modeling actuator faults as parameter changes …
time stochastic time varying systems. By modeling actuator faults as parameter changes …
Adaptive observers for nonlinearly parameterized class of nonlinear systems
In this paper, one proposes adaptive observers for a class of uniformly observable MIMO
nonlinear systems with general nonlinear parameterizations. The state and the unknown …
nonlinear systems with general nonlinear parameterizations. The state and the unknown …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
Nonlinear system fault diagnosis based on adaptive estimation
An approach to fault diagnosis for a class of nonlinear systems is proposed in this paper. It is
based on a new adaptive estimation algorithm for recursive estimation of the parameters …
based on a new adaptive estimation algorithm for recursive estimation of the parameters …
On adaptive observers for state affine systems
G Besancon, J de León-Morales… - International journal of …, 2006 - Taylor & Francis
In this paper, the problem of adaptive observer design for the class of state affine systems is
discussed. The discussion is based on recent results on adaptive observer with exponential …
discussed. The discussion is based on recent results on adaptive observer with exponential …
A survey on model-based fault diagnosis for linear discrete time-varying systems
To meet the rising demands for safety and reliability of modern industrial control systems, the
model-based fault diagnosis problem has attracted much attention in the past few decades …
model-based fault diagnosis problem has attracted much attention in the past few decades …
Estimation of sideslip angle and cornering stiffness of an articulated vehicle using a constrained lateral dynamics model
D Jeong, G Ko, SB Choi - Mechatronics, 2022 - Elsevier
In this paper, a constrained lateral dynamics model of articulated vehicles and an algorithm
for estimating sideslip angle and cornering stiffness are proposed. The articulated vehicle …
for estimating sideslip angle and cornering stiffness are proposed. The articulated vehicle …