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CRISTIAN R. ROJAS
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Name
Affiliation
Papers
CRISTIAN R. ROJAS
School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW 2308, Australia
97
Collaborators
Citations
PageRank
108
252
43.97
Referers
Referees
References
484
730
626
Search Limit
100
730
Publications (97 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Application-Oriented Input Design With Low Coherence Constraint
0
0.34
2023
Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models
0
0.34
2022
On State-Space Representations of General Discrete-Time Dynamical Systems
0
0.34
2022
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective
0
0.34
2022
Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations
0
0.34
2022
Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method
0
0.34
2022
Corrigendum to “Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems” [Automatica 113 (2020) 108767]
0
0.34
2022
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations
0
0.34
2021
Binary Search Based Flexible Power Point Tracking Algorithm for Photovoltaic Systems
0
0.34
2021
Enhanced Switching Frequency Control in FCS-MPC for Power Converters
4
0.47
2021
Consistent identification of continuous-time systems under multisine input signal excitation
0
0.34
2021
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.
0
0.34
2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
0
0.34
2020
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making
0
0.34
2020
Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems
0
0.34
2020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes
0
0.34
2020
Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.
2
0.45
2020
Risk-Coherent H-Infinity-Optimal Filter Design Under Model Uncertainty With Applications To Miso Control
0
0.34
2019
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting.
1
0.36
2019
On Adaptive Boosting for System Identification.
1
0.35
2018
Analysis of averages over distributions of Markov processes.
0
0.34
2018
Bayesian Model Selection for Change Point Detection and Clustering.
0
0.34
2018
Sparse iterative learning control (SPILC): When to sample for resource-efficiency?
0
0.34
2018
An analysis of the SPARSEVA estimate for the finite sample data case.
1
0.36
2018
An asymptotically optimal indirect approach to continuous-time system identification
0
0.34
2018
Robust Experiment Design For Virtual Reference Feedback Tuning
2
0.37
2018
Inverse Filtering For Linear Gaussian State-Space Models
0
0.34
2018
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility.
10
0.72
2017
Parametric Identification Using Weighted Null-Space Fitting.
3
0.45
2017
Computing Monotone Policies For Markov Decision Processes: A Nearly-Isotonic Penalty Approach
0
0.34
2017
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models.
1
0.38
2017
Identification Of Hidden Markov Models Using Spectral Learning With Likelihood Maximization
1
0.37
2017
Cost function shaping of the output error criterion.
2
0.41
2017
On robust input design for nonlinear dynamical models.
0
0.34
2017
Inverse Filtering for Hidden Markov Models.
1
0.37
2017
Optimal Enforcement of Causality in Non-Parametric Transfer Function Estimation.
1
0.39
2017
Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification.
0
0.34
2017
Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction.
1
0.35
2016
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.
0
0.34
2016
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.
0
0.34
2016
A Weighted Least Squares Method For Estimation Of Unstable Systems
0
0.34
2016
Particle-Based Gaussian Process Optimization For Input Design In Nonlinear Dynamical Models
0
0.34
2016
Accurate Changing Point Detection for ${\ell _1}$ Mean Filtering.
3
0.46
2016
Identification Of Modules In Dynamic Networks: An Empirical Bayes Approach
0
0.34
2016
An application-oriented approach to dual control with excitation for closed-loop identification.
1
0.40
2016
Alternating strategies with internal ADMM for low-rank matrix reconstruction
6
0.48
2016
How To Monitor And Mitigate Stair-Casing In L1 Trend Filtering
1
0.35
2015
Estimator selection: End-performance metric aspects
0
0.34
2015
A graph theoretical approach to input design for identification of nonlinear dynamical models.
4
0.53
2015
Application-Oriented Estimator Selection
0
0.34
2015
1
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