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
100730
Title
Citations
PageRank
Year
Application-Oriented Input Design With Low Coherence Constraint00.342023
Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models00.342022
On State-Space Representations of General Discrete-Time Dynamical Systems00.342022
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective00.342022
Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations00.342022
Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method00.342022
Corrigendum to “Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems” [Automatica 113 (2020) 108767]00.342022
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations00.342021
Binary Search Based Flexible Power Point Tracking Algorithm for Photovoltaic Systems00.342021
Enhanced Switching Frequency Control in FCS-MPC for Power Converters40.472021
Consistent identification of continuous-time systems under multisine input signal excitation00.342021
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.00.342020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations00.342020
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making00.342020
Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems00.342020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes00.342020
Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.20.452020
Risk-Coherent H-Infinity-Optimal Filter Design Under Model Uncertainty With Applications To Miso Control00.342019
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting.10.362019
On Adaptive Boosting for System Identification.10.352018
Analysis of averages over distributions of Markov processes.00.342018
Bayesian Model Selection for Change Point Detection and Clustering.00.342018
Sparse iterative learning control (SPILC): When to sample for resource-efficiency?00.342018
An analysis of the SPARSEVA estimate for the finite sample data case.10.362018
An asymptotically optimal indirect approach to continuous-time system identification00.342018
Robust Experiment Design For Virtual Reference Feedback Tuning20.372018
Inverse Filtering For Linear Gaussian State-Space Models00.342018
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility.100.722017
Parametric Identification Using Weighted Null-Space Fitting.30.452017
Computing Monotone Policies For Markov Decision Processes: A Nearly-Isotonic Penalty Approach00.342017
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models.10.382017
Identification Of Hidden Markov Models Using Spectral Learning With Likelihood Maximization10.372017
Cost function shaping of the output error criterion.20.412017
On robust input design for nonlinear dynamical models.00.342017
Inverse Filtering for Hidden Markov Models.10.372017
Optimal Enforcement of Causality in Non-Parametric Transfer Function Estimation.10.392017
Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification.00.342017
Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction.10.352016
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.00.342016
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.00.342016
A Weighted Least Squares Method For Estimation Of Unstable Systems00.342016
Particle-Based Gaussian Process Optimization For Input Design In Nonlinear Dynamical Models00.342016
Accurate Changing Point Detection for ${\ell _1}$ Mean Filtering.30.462016
Identification Of Modules In Dynamic Networks: An Empirical Bayes Approach00.342016
An application-oriented approach to dual control with excitation for closed-loop identification.10.402016
Alternating strategies with internal ADMM for low-rank matrix reconstruction60.482016
How To Monitor And Mitigate Stair-Casing In L1 Trend Filtering10.352015
Estimator selection: End-performance metric aspects00.342015
A graph theoretical approach to input design for identification of nonlinear dynamical models.40.532015
Application-Oriented Estimator Selection00.342015
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