Quadratic convex reformulation for nonconvex binary quadratically constrained quadratic programming via surrogate constraint
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0591-0
Abstract: We investigate in this paper nonconvex binary quadratically constrained quadratic programming (QCQP) which arises in various real-life fields. We propose a novel approach of getting quadratic convex reformulation (QCR) for this class of optimization problem.… read more here.
Keywords: programming; constrained quadratic; binary quadratically; quadratically constrained ... See more keywords
Structured linear reformulation of binary quadratically constrained quadratic programs
Sign Up to like & getrecommendations! Published in 2020 at "Optimization Letters"
DOI: 10.1007/s11590-018-1361-8
Abstract: This paper presents a new linear reformulation to convert a binary quadratically constrained quadratic program into a 0–1 mixed integer linear program. By exploiting the symmetric structure of the quadratic terms embedded in the objective… read more here.
Keywords: linear reformulation; binary quadratically; constrained quadratic; structured linear ... See more keywords
Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3085172
Abstract: Controller design for nonlinear systems with Control Lyapunov Function (CLF) based quadratic programs has recently been successfully applied to a diverse set of difficult control tasks. These existing formulations do not address the gap between… read more here.
Keywords: control; control lyapunov; sampled data; quadratic programs ... See more keywords
Optimal Parameter Selection for ADMM: Quadratically Constrained Quadratic Program
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2025.3566632
Abstract: We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control or interpolating control. The proposed algorithms are based on the Alternating… read more here.
Keywords: control; penalty parameters; constrained quadratic; quadratically constrained ... See more keywords
A Discrete Sliding-Mode Reaching-Law Zeroing Neural Solution for Dynamic Constrained Quadratic Programming
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2025.3545098
Abstract: Various discrete-time zeroing neural network (DTZNN) models have been developed for solving dynamic constrained quadratic programming. However, two challenges persist within the DTZNN framework: first, the theoretical analysis of robustness in disturbance suppression remains insufficient;… read more here.
Keywords: reaching law; zeroing neural; constrained quadratic; dynamic constrained ... See more keywords