相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Controllability of Linear Dynamical Systems Under Input Sparsity Constraints
Geethu Joseph et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)
CLOT norm minimization for continuous hands-off control
Masaaki Nagahara et al.
AUTOMATICA (2020)
On Sparse Optimal Control for General Linear Systems
Takuya Ikeda et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2019)
Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity
Shashank Ranjan et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)
Data-driven discovery of coordinates and governing equations
Kathleen Champion et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Structural Invertibility and Optimal Sensor Node Placement for Error and Input Reconstruction in Dynamic Systems
Dominik Kahl et al.
PHYSICAL REVIEW X (2019)
Optimality and identification of dynamic models in systems biology: an inverse optimal control framework
Nikolaos Tsiantis et al.
BIOINFORMATICS (2018)
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices
Mahsa Lotfi et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2018)
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach
Jaideep Pathak et al.
PHYSICAL REVIEW LETTERS (2018)
A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models
Benjamin Engelhardt et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2017)
Reconstruction of normal forms by learning informed observation geometries from data
Or Yair et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Maximum Hands-Off Control: A Paradigm of Control Effort Minimization
Masaaki Nagahara et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2016)
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Steven L. Brunton et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Control principles of complex systems
Yang-Yu Liu et al.
REVIEWS OF MODERN PHYSICS (2016)
Learning (from) the errors of a systems biology model
Benjamin Engelhardt et al.
SCIENTIFIC REPORTS (2016)
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices
T. Tony Cai et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2014)
Minimal Controllability Problems
Alex Olshevsky
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS (2014)
Comprehensive estimation of input signals and dynamics in biochemical reaction networks
M. Schelker et al.
BIOINFORMATICS (2012)
Potassium Starvation in Yeast: Mechanisms of Homeostasis Revealed by Mathematical Modeling
Matthias Kahm et al.
PLOS COMPUTATIONAL BIOLOGY (2012)
Stable Recovery of Sparse Signals and an Oracle Inequality
Tony Tony Cai et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2010)
On L1-minimization in optimal control and applications to robotics
G. Vossen et al.
OPTIMAL CONTROL APPLICATIONS & METHODS (2006)
Compressed sensing
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Decoding by linear programming
EJ Candes et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2005)
Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization
DL Donoho et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)