In this paper, we propose a statistical theoretical framework for incorporation of sensor and actuator faults in dynamic simulations of wastewater treatment operation. Sensor and actuator faults and failures are often neglected in simulations for control strategy development and testing, although it is well known that they represent a significant obstacle for realising control at full-scale fac...

This paper studies the reliable dynamic output-feedback control of linear systems based on either component fault, that is, either sensor or actuator faults. A more practical continuous fault model of sensor and actuator than discrete model is considered. The resulting control systems are reliable in that they provide guaranteed asymptotic stability and H∞ performance when all control component...

This paper presents a new actuator and sensor fault reconstruction scheme for Linear Parameter Varying (LPV) systems, based on a sliding mode observer. Two separate observer schemes for actuator and sensor fault reconstruction are presented. For the design of the actuator fault reconstruction scheme, the varying input distribution matrix has been factorized into a fixed and a varying component....

In this paper we consider the problem of developing sensor/actuator abstractions for embedded control design. These abstractions take the form of inequalities relating sensor/actuator characteristics with the continuous dynamics’ output. When satisfied, they allow to decouple control design from the choice of sensor/actuators, thus simplifying control design while ensuring implementability.

Optimal sensor and actuator selection is a central challenge in high-dimensional estimation control. Nearly all subsequent control decisions are affected by these locations. In this article, we exploit balanced model reduction greedy optimization to efficiently determine selections that optimize observability controllability. particular, locations scalar measures of controllability using matrix...

In this paper we present a design method of Sliding Mode Observer (SMO) applied to reconstruct both actuator and sensor faults for a class of output time-delay systems. To guarantee the quadratically stability of the estimation error dynamics, sufficient conditions are developed with the LyapunovKrasovskii approach arising a set of Linear Matrix Inequality (LMI) optimization. Applying the equiv...

Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuator network, it is advantageous to determine actions in-network. In such settings, optimizing the sensor node behavior with respect to sensor information fidelity does not necessarily translate into optimum behavior in ...

This paper explores a class of multiple-model-based fault detection and identification (FDI) methods for bias-type faults in actuators and sensors. These methods employ banks of Kalman-Bucy filters to detect the faults, determine the fault pattern, and estimate the fault values, wherein each Kalman-Bucy filter is tuned to a different failure pattern. Necessary and sufficient conditions are pres...

This paper considers the problem of reconstructing, simultaneously occurring actuator and sensor faults in a nonlinear system. The theory which will be developed in this paper is based on a sliding mode observer formulation, designed around an LPV model approximation of the nonlinear system. It extends previous work which has independently considered actuator and sensor faults reconstruction. H...