no code implementations • 20 Nov 2022 • William Chang, Fariba Ariaei, Edmond Jonckheere
Bode integrals of sensitivity and sensitivity-like functions along with complementary sensitivity and complementary sensitivity-like functions are conventionally used for describing performance limitations of a feedback control system.
no code implementations • NeurIPS 2014 • Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
We first analyze the simple setting, where the optimization problem consists of a loss function and a single regularizer (e. g. sparse optimization), and then extend to the multi-block setting with multiple regularizers and multiple variables (e. g. matrix decomposition into sparse and low rank components).
no code implementations • 7 Mar 2014 • Hanie Sedghi, Edmond Jonckheere
We propose a decentralized false data injection detection scheme based on Markov graph of the bus phase angles.
2 code implementations • NeurIPS 2014 • Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
For sparse optimization, we establish that the modified ADMM method has an optimal convergence rate of $\mathcal{O}(s\log d/T)$, where $s$ is the sparsity level, $d$ is the data dimension and $T$ is the number of steps.
