Proximal Limited-Memory Quasi-Newton Methods for Scenario-based Stochastic Optimal Control
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1372
Abstract: Abstract Stochastic optimal control problems are typically of rather large scale involving millions of decision variables, but possess a certain structure which can be exploited by first-order methods such as forward-backward splitting and the alternating… read more here.
Keywords: limited memory; proximal limited; stochastic optimal; optimal control ... See more keywords
Seismic Risk–Based Stochastic Optimal Control of Structures Using Magnetorheological Dampers
Sign Up to like & getrecommendations! Published in 2017 at "Natural Hazards Review"
DOI: 10.1061/(asce)nh.1527-6996.0000215
Abstract: AbstractMagnetorheological (MR) dampers are regarded as among the most promising control devices owing to their perfect dynamic damping behaviors. The operating efficiency of MR dampers, however, upon randomly excited structural systems remains a challenge because… read more here.
Keywords: based stochastic; control; seismic risk; stochastic optimal ... See more keywords
Stochastic Optimal Power Flow for Power Systems Considering Wind Farms Based on the Stochastic Collocation Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169600
Abstract: The investigation of stochastic optimal power flow (SOPF) is to seek the optimal solution of static stability constrained optimal power flow considering the uncertainty of parameters in power systems. To solve the problem, this paper… read more here.
Keywords: power flow; power; stochastic optimal; method ... See more keywords
Fast, Convexified Stochastic Optimal Open-Loop Control for Linear Systems Using Empirical Characteristic Functions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.2998857
Abstract: We consider the problem of stochastic optimal control in the presence of an unknown disturbance. We characterize the disturbance via empirical characteristic functions, and employ a chance constrained approach. By exploiting properties of characteristic functions… read more here.
Keywords: stochastic optimal; control; characteristic functions; empirical characteristic ... See more keywords
Information Transfer of Control Strategies: Dualities of Stochastic Optimal Control Theory and Feedback Capacity of Information Theory
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2690147
Abstract: The control-coding capacity of stochastic control systems is introduced, and its operational meaning is established using randomized control strategies, which simultaneously control output processes encode information, and communicate information from control processes to output processes.… read more here.
Keywords: information; capacity; theory; control ... See more keywords
State-Aware Stochastic Optimal Power Flow
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su13147577
Abstract: The increase in distributed generation (DG) and variable load mandates system operators to perform decision-making considering uncertainties. This paper introduces a novel state-aware stochastic optimal power flow (SA-SOPF) problem formulation. The proposed SA-SOPF has objective… read more here.
Keywords: stochastic optimal; optimal power; power flow; generation ... See more keywords