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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3146987
Abstract: This article focuses on developing a static output feedback (SOF) control scheme for Takagi–Sugeno fuzzy systems. The proposed SOF controller does not share the same premise membership functions with the model, which permits enhancing the…
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Keywords:
optimization algorithm;
control;
convex optimization;
successive convex ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3138242
Abstract: Optimizing non-convex functions is of primary importance in modern pattern recognition because it underlies the training of deep networks and nonlinear dimensionality reduction. First-order algorithms under suitable randomized perturbations or step-size rules have been shown…
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Keywords:
convex approximation;
order;
successive convex;
first order ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3158737
Abstract: Constrained reinforcement learning (CRL), also termed as safe reinforcement learning, is a promising technique enabling the deployment of RL agent in real-world systems. In this paper, we propose a successive convex approximation based off-policy optimization…
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Keywords:
optimization;
reinforcement learning;
policy;
constrained reinforcement ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/09544100221138350
Abstract: This paper aims to suggest a new landing guidance algorithm for reusable launch vehicles (RLVs) to enable generation of fuel-efficient trajectories based on successive convex programming. To this end, a dual aero/propulsive landing guidance problem…
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Keywords:
problem;
landing guidance;
guidance;
phase ... See more keywords