Distributed Optimization for Rank-Constrained Semidefinite Programs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3186939
Abstract: This letter develops a distributed optimization framework for solving the rank-constrained semidefinite programs (RCSPs). Since the rank constraint is non-convex and discontinuous, solving an optimization problem with rank constraints is NP-hard and notoriously time-consuming, especially… read more here.
Keywords: distributed optimization; constrained semidefinite; semidefinite programs; rank constrained ... See more keywords
Robust Rank-Constrained Sparse Learning: A Graph-Based Framework for Single View and Multiview Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3067137
Abstract: Graph-based clustering aims to partition the data according to a similarity graph, which has shown impressive performance on various kinds of tasks. The quality of similarity graph largely determines the clustering results, but it is… read more here.
Keywords: constrained sparse; robust rank; rank constrained; graph ... See more keywords
Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3198863
Abstract: Maximum likelihood estimation (MLE) provides a well-known benchmark for line spectral estimation and has been extensively studied in the parameter domain using a variety of optimization algorithms. To overcome the sensitivity of these algorithms to… read more here.
Keywords: spectral estimation; line spectral; domain; rank constrained ... See more keywords
Projection onto the Set of Rank-Constrained Structured Matrices for Reduced-Order Controller Design
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15090322
Abstract: In this paper, we propose an efficient numerical computation method of reduced-order controller design for linear time-invariant systems. The design problem is described by linear matrix inequalities (LMIs) with a rank constraint on a structured… read more here.
Keywords: projection; reduced order; controller; design ... See more keywords