Stability of adaptive systems: passivity and averaging analysis
Stability of adaptive systems: passivity and averaging analysis
Optimal experiment designs with respect to the intended model application
Automatica (Journal of IFAC)
Optimal estimation theory for dynamic systems with set membership uncertainty: an overview
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Robust and adaptive control of an unknown plant: a benchmark of new format
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Minimum-volume ellipsoids containing compact sets: application to parameter bounding
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Nonlinear model-based control using second-order Volterra models
Automatica (Journal of IFAC)
The application of an iterative identification and controller design to a sugar cane crushing mill
Automatica (Journal of IFAC)
Iterative weighted least-squares identification and weighted LQG control design
Automatica (Journal of IFAC)
On some key issues in the Windsurfer approach to adaptive robust control
Automatica (Journal of IFAC)
Identification and control—closed-loop issues
Automatica (Journal of IFAC) - Special issue on trends in system identification
Automatica (Journal of IFAC) - Special issue on trends in system identification
Worst-case control-relevant identification
Automatica (Journal of IFAC) - Special issue on trends in system identification
Robust and optimal control
For model-based control design, closed-loop identification gives better performance
Automatica (Journal of IFAC)
Probabilistic robustness analysis: explicit bounds for the minimum number of samples
Systems & Control Letters
Recursive algorithms for identification in closed loop: a unified approach and evaluation
Automatica (Journal of IFAC)
Adaptive robust control under unknown plant orders
Automatica (Journal of IFAC)
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Control: Analysis and Design
Iterative Identification and Control: Advances in Theory and Applications
Iterative Identification and Control: Advances in Theory and Applications
Iterative Learning Control for Deterministic Systems
Iterative Learning Control for Deterministic Systems
Adaptive Optimal Control: The Thinking Man's G.P.C.
Adaptive Optimal Control: The Thinking Man's G.P.C.
SIAM Journal on Control and Optimization
Paper: Automatic tuning of simple regulators with specifications on phase and amplitude margins
Automatica (Journal of IFAC)
Paper: Bounded-error parameter estimation: Noise models and recursive algorithms
Automatica (Journal of IFAC)
Paper: Closed-loop identification for the best asymptotic performance of adaptive robust control
Automatica (Journal of IFAC)
Brief Some results on optimal experiment design
Automatica (Journal of IFAC)
Comparing different approaches to model error modeling in robust identification
Automatica (Journal of IFAC)
Closed-loop identification revisited
Automatica (Journal of IFAC)
Brief Robustness analysis tools for an uncertainty set obtained by prediction error identification
Automatica (Journal of IFAC)
Direct controller order reduction by identification in closed loop
Automatica (Journal of IFAC)
Brief Direct iterative tuning via spectral analysis
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
A clustering technique for the identification of piecewise affine systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical Communique: Asymptotic variance expressions for closed-loop identification
Automatica (Journal of IFAC)
Non-stationary stochastic embedding for transfer function estimation
Automatica (Journal of IFAC)
L2 Model reduction and variance reduction
Automatica (Journal of IFAC)
Brief Non-asymptotic confidence ellipsoids for the least-squares estimate
Automatica (Journal of IFAC)
Brief On robustness in system identification
Automatica (Journal of IFAC)
Technical Communique: Improved efficiency of adaptive robust control by model unfalsification
Automatica (Journal of IFAC)
On linear models for nonlinear systems
Automatica (Journal of IFAC)
Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers
Automatica (Journal of IFAC)
On the frequency domain accuracy of closed-loop estimates
Automatica (Journal of IFAC)
Robust optimal experiment design for system identification
Automatica (Journal of IFAC)
D-optimal design of a monitoring network for parameter estimation of distributed systems
Journal of Global Optimization
Computation of local radius of information in SM-IBC identification of nonlinear systems
Journal of Complexity
Survey paper: Optimal experimental design and some related control problems
Automatica (Journal of IFAC)
Closed loop experiment design for linear time invariant dynamical systems via LMIs
Automatica (Journal of IFAC)
Brief paper: Validity of the standard cross-correlation test for model structure validation
Automatica (Journal of IFAC)
On the equivalence of least costly and traditional experiment design for control
Automatica (Journal of IFAC)
Gaussian sum approach with optimal experiment design for neural network
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
A new kernel-based approach for linear system identification
Automatica (Journal of IFAC)
Brief paper: Non-parametric methods for L2-gain estimation using iterative experiments
Automatica (Journal of IFAC)
Automation and Remote Control
Short communication: Model free adaptive control with data dropouts
Expert Systems with Applications: An International Journal
Brief paper: Asymptotic statistical analysis for model-based control design strategies
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
A virtual closed loop method for closed loop identification
Automatica (Journal of IFAC)
Sensor network design for the estimation of spatially distributed processes
International Journal of Applied Mathematics and Computer Science
Automatica (Journal of IFAC)
Brief paper: Effects of feedback on active fault detection
Automatica (Journal of IFAC)
Least-squares estimation of a class of frequency functions: A finite sample variance expression
Automatica (Journal of IFAC)
Relations between uncertainty structures in identification for robust control
Automatica (Journal of IFAC)
The cost of complexity in system identification: The Output Error case
Automatica (Journal of IFAC)
System identification for achieving robust performance
Automatica (Journal of IFAC)
Analyzing iterations in identification with application to nonparametric H∞-norm estimation
Automatica (Journal of IFAC)
Robust tracking with unknown upper bounds on the perturbations and measurement noise
Automation and Remote Control
Optimal input design for direct data-driven tuning of model-reference controllers
Automatica (Journal of IFAC)
Input design as a tool to improve the convergence of PEM
Automatica (Journal of IFAC)
Hi-index | 22.19 |
The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers from a statistical perspective. It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy. This does not necessarily mean that a full-order model always is necessary as well designed experiments allow for restricted complexity models to be near-optimal. Experiment design can therefore be seen as the key to successful applications. For this reason, particular attention is given to the interaction between experimental constraints and performance specifications.