A unified sequential identification structure based on convergence considerations
Automatica (Journal of IFAC)
Brief paper: Recursive estimation of the parameters of linear multivariable systems
Automatica (Journal of IFAC)
On the adaptive linear estimators, using biased Cramér-Rao bound
Signal Processing
Gradient projection-based channel equalization under sustained fading
Signal Processing
Automatica (Journal of IFAC)
Brief paper: State estimation in the presence of bounded disturbances
Automatica (Journal of IFAC)
Induced ∞-norm FIR filter for recovering MPSK-type modulus signals
Signal Processing
Brief paper: Rigorous parameter reconstruction for differential equations with noisy data
Automatica (Journal of IFAC)
Non-linear robust identification using evolutionary algorithms
Engineering Applications of Artificial Intelligence
Brief Paper: Convergence Properties of the Membership Set
Automatica (Journal of IFAC)
Paper: Bounded-error parameter estimation: Noise models and recursive algorithms
Automatica (Journal of IFAC)
Brief paper: Recursive state bounding by parallelotopes
Automatica (Journal of IFAC)
Comparing different approaches to model error modeling in robust identification
Automatica (Journal of IFAC)
Brief Recursive algorithms for inner ellipsoidal approximation of convex polytopes
Automatica (Journal of IFAC)
Brief A convex approach to the characterization of the frequency response of ellipsoidal plants
Automatica (Journal of IFAC)
Brief Infinite horizon predictive control of constrained continuous-time linear systems
Automatica (Journal of IFAC)
Technical Communique: Interval constraint propagation with application to bounded-error estimation
Automatica (Journal of IFAC)
Ellipsoidal parameter or state estimation under model uncertainty
Automatica (Journal of IFAC)
Constraints propagation techniques on intervals for a guaranteed localization using redundant data
Automatica (Journal of IFAC)
Ellipsoidal bounds for uncertain linear equations and dynamical systems
Automatica (Journal of IFAC)
Fitting straight lines to poor quality (Χ,y ) data
Mathematical and Computer Modelling: An International Journal
Rotorcraft UAV actuator failure detection based on a new adaptive set-membership filter
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
Modified quasi-OBE algorithm with improved numerical properties
Signal Processing
Interval algorithm for set-membership identification of MIMO LTI system
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Passive robust fault detection using RBF neural modeling based on set membership identification
Engineering Applications of Artificial Intelligence
Estimating the State Vector of a Dynamic System under Uncertainty
Cybernetics and Systems Analysis
| Hi-index | 22.17 |
Assuming instantaneous bounds on the noise, system parameter identification is formulated as membership set estimation problem. Sequential algorithms are constructed to estimate the membership sets of the parameters which are consistent with the measurements and the noise constraints. The important new feature of the proposed algorithms is their ability to ignore redundant data. The efficient data extraction property of the new algorithms is achieved with small computational effort and with improved performance when compared to the least square algorithm. The convergence properties and the notion of identifiability in the set theoretic context are also studied.