Optimal experiment designs with respect to the intended model application
Automatica (Journal of IFAC)
Asymptotically efficient adaptive control in stochastic regression models
Advances in Applied Mathematics
System identification: theory for the user
System identification: theory for the user
Asymptotically efficient self-tuning regulators
SIAM Journal on Control and Optimization
An accelerated sequential algorithm for producing D-optimal designs
SIAM Journal on Scientific and Statistical Computing
Further Results on Least Squares Based Adaptive Minimum Variance Control
SIAM Journal on Control and Optimization
Minimum-volume ellipsoids containing compact sets: application to parameter bounding
Automatica (Journal of IFAC)
The nature of statistical learning theory
The nature of statistical learning theory
Automatica (Journal of IFAC) - Special issue on trends in system identification
Machine Learning
Strong consistency of Bayes estimates in stochastic regression models
Journal of Multivariate Analysis
For model-based control design, closed-loop identification gives better performance
Automatica (Journal of IFAC)
Primal-dual interior-point methods
Primal-dual interior-point methods
Determinant Maximization with Linear Matrix Inequality Constraints
SIAM Journal on Matrix Analysis and Applications
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Nonlinear Adaptive Tracking Using Kernel Estimators: Estimation and Test for Linearity
SIAM Journal on Control and Optimization
Nonparametric Estimation and Adaptive Control of Functional Autoregressive Models
SIAM Journal on Control and Optimization
Interior Methods for Nonlinear Optimization
SIAM Review
Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
Steepest descent algorithms in a space of measures
Statistics and Computing
SIAM Journal on Control and Optimization
Journal of Global Optimization
Intrinsic Kriging and prior information: Research Articles
Applied Stochastic Models in Business and Industry - Statistical Learning
Asymptotic behaviour of a family of gradient algorithms in ℝd and Hilbert spaces
Mathematical Programming: Series A and B
Robust optimal experiment design for system identification
Automatica (Journal of IFAC)
Active learning with statistical models
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Least costly identification experiment for control
Automatica (Journal of IFAC)
Comparison of some instrumental variable methods-Consistency and accuracy aspects
Automatica (Journal of IFAC)
Sensors and controllers location in distributed systems-A survey
Automatica (Journal of IFAC)
Brief Some results on optimal experiment design
Automatica (Journal of IFAC)
Closed-loop identification revisited
Automatica (Journal of IFAC)
Brief Stability of extremum seeking feedback for general nonlinear dynamic systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Guaranteed non-asymptotic confidence regions in system identification
Automatica (Journal of IFAC)
From experiment design to closed-loop control
Automatica (Journal of IFAC)
Brief paper: Redundancy versus multiple starting points in nonlinear system related inverse problems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Proceedings of the 9th International Conference on Computational Methods in Systems Biology
Extension of static non-linear doe identification algorithms to dynamic systems
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
Design of computer experiments: space filling and beyond
Statistics and Computing
Local model network based dynamic battery cell model identification
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
The cost of complexity in system identification: The Output Error case
Automatica (Journal of IFAC)
Experimental Design for Biological Systems
SIAM Journal on Control and Optimization
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Local model network identification for online engine modelling
Information Sciences: an International Journal
Optimal experiment design based on local model networks and multilayer perceptron networks
Engineering Applications of Artificial Intelligence
| Hi-index | 22.15 |
This paper traces the strong relations between experimental design and control, such as the use of optimal inputs to obtain precise parameter estimation in dynamical systems and the introduction of suitably designed perturbations in adaptive control. The mathematical background of optimal experimental design is briefly presented, and the role of experimental design in the asymptotic properties of estimators is emphasized. Although most of the paper concerns parametric models, some results are also presented for statistical learning and prediction with nonparametric models.