This paper design a method for fault detection and isolation based on observers for systems modelled as Descriptor-Linear Parameter Varying (D-LPV) with Unmeasurable Scheduling Functions (USF).
In [1], dynamic containment algorithms based on observers for the high-order continuous-time multi-agent systems were proposed under the fixed topology.
Then, linear quadratic Gaussian (LQG) algorithm based on observer feedback is used for set-point tracking, and a model-predictive controller (MPC) with an on-line neural network identifier is also designed to improve robustness.
The main objective of this work was to design a software sensor device based on state observer for a class of continuous bioreactor with application to heavy metal removal and locally analyze the observability properties of the considered system, considering parametric uncertainties.
Finally by some examples, using the LMI technique, we show that the regulators, the fuzzy observers and the H∞ controller designs based on new observers for the T-S fuzzy systems are very practical and efficient.
This paper provides an improved result over that in Liu and Zhang [2003, New approaches to H∞ controller designs based on fuzzy observers for T S fuzzy systems via LMI. Automatica, 39, 1571 1582] for the problem of observer-based H∞ control for nonlinear systems in Takagi Sugeno (T S) fuzzy model.
Automatica, 39, 1571 1582]; (iii) The matrix dimensions are largely reduced compared with the corresponding ones in Liu and Zhang [2003, New approaches to H∞ controller designs based on fuzzy observers for T S fuzzy systems via LMI. Automatica, 39, 1571 1582].
New approaches to H∞ controller designs based on fuzzy observers for T S fuzzy systems via LMI.
Thirdly two sufficient LMI conditions, which guarantee the existence of the H∞ controllers based on fuzzy observers for the T-S fuzzy systems have been proposed.
This paper presents an actuator fault detection and interval reconstruction scheme based on interval observers for systems with both actuator faults and disturbances.
