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Published in 2020 at "Journal of Global Optimization"
DOI: 10.1007/s10898-019-00833-7
Abstract: In this article we propose a new approach to an analysis of DC optimization problems. This approach was largely inspired by codifferential calculus and the method of codifferential descent and is based on the use…
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Keywords:
optimality conditions;
new global;
global optimality;
optimization ... See more keywords
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Published in 2019 at "Optimization Letters"
DOI: 10.1007/s11590-017-1214-x
Abstract: This paper addresses the nonconvex optimization problem with the cost function and the inequality constraints given by d.c. functions. The original problem is reduced to a problem without inequality constraints by means of the exact…
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Keywords:
optimality conditions;
exact penalization;
problem;
global optimality ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3238173
Abstract: Modern state estimation is often formulated as an optimization problem and solved using efficient local search methods. These methods at best guarantee convergence to local minima, but, in some cases, global optimality can also be…
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Keywords:
certificate;
optimality;
global optimality;
landmark based ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3049910
Abstract: The consensusability and global optimality problems are solved for the discrete-time linear multiagent system (MAS) with marginally stable and strictly unstable dynamics. A unified framework is proposed by capturing the maximal disc-guaranteed gain margin (GGM)…
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Keywords:
global optimality;
discrete time;
time linear;
consensusability ... See more keywords