Multi-sensor optimal information fusion Kalman filter
Automatica (Journal of IFAC)
Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems
Automatica (Journal of IFAC)
Reliable decentralized PID controller synthesis for two-channel MIMO processes
Automatica (Journal of IFAC)
Geometrical Analysis of Model Predictive Control: A Parameterized Polyhedra Approach
Numerical Analysis and Its Applications
Brief paper: Supervisory fault tolerant control for a class of uncertain nonlinear systems
Automatica (Journal of IFAC)
Brief paper: Componentwise ultimate bound and invariant set computation for switched linear systems
Automatica (Journal of IFAC)
Brief paper: Multisensor fusion fault tolerant control
Automatica (Journal of IFAC)
A general H∞ fault tolerant control and management for a linear system with actuator faults
Automatica (Journal of IFAC)
Sensor diagnosis and state estimation for a class of skew symmetric time-varying systems
Automatica (Journal of IFAC)
Set-Based detection and isolation of intersampled delays and pocket dropouts in networked control
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Hi-index | 22.16 |
In this paper we propose a novel fault tolerant multisensor switching strategy for feedback control. Each sensor of the proposed multisensor scheme has an associated state estimator which, together with a state feedback gain, is able to individually stabilise the closed-loop system. At each instant of time, the switching strategy selects the sensor-estimator pair that provides the best closed-loop performance, as measured by a control-performance criterion. We establish closed-loop stability of the resulting switching scheme under normal (fault-free) operating conditions. More importantly, we show that closed-loop stability is preserved in the presence of faulty sensors if a set of conditions on the system parameters (such as bounds on the sensor noises, maximum and minimum values of the reference signal, etc.) is satisfied. This result enhances and broadens the applicability of the proposed multisensor scheme since it provides guaranteed properties such as fault tolerance and robust closed-loop stability under sensor fault. The results are applied to the problem of automotive longitudinal control.